269 AI Solutions jobs in Malaysia

Overview

WHO WE ARE:

Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges. When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale.

WHAT WE’RE ABOUT:

We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better.

Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to

ADDITIONAL REQUIREMENT FOR REMOTE POSITIONS:

For remote positions, all candidates must complete a video screen with our corporate recruiting team.

Responsibilities

Position Summary:

We are seeking a highly skilled and experienced Azure AI Solutions Engineer to join our team. The ideal candidate will have a strong background in Azure AI technologies, proficiency in Python, C#, and TypeScript, and the ability to independently design and implement solutions based on high-level requirements. This role requires excellent English comprehension to interpret internal documents and collaborate effectively with global teams.

WHAT YOU WILL BE DOING:

• Design, develop, and deploy Azure AI solutions (e.g., OpenAI, Cognitive Services, Azure Machine Learning) to address business needs.
• Translate high-level acceptance criteria into detailed implementation plans, considering internal tools, documentation, and best practices.
• Collaborate with cross-functional teams to integrate AI solutions into existing systems.
• Write clean, maintainable code in Python, C#, and TypeScript for backend services, APIs, and automation tools.
• Optimize AI models and pipelines for performance, scalability, and costefficiency.
• Mentor junior engineers and provide technical guidance.

Qualifications

MINIMUM QUALIFICATIONS:

• 5+ years of experience in software development, with at least 3 years focused on Azure AI/ML solutions.
• Expertise in: Programming languages: Python, C#, TypeScript.
• Azure services: OpenAI, Azure ML, Cognitive Services, Kubernetes (AKS), Azure DevOps.
• Cloud-native development: Serverless architectures, microservices, CI/CD pipelines.
• Strong ability to comprehend technical documents in English and produce clear documentation.
• Proven track record of delivering projects with minimal supervision.
• Languge rquired: Mandarin + English.
• Certifications: Microsoft Certified: Azure AI Engineer Associate or similar is plus.

Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.

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Overview

WHO WE ARE: Beyondsoft is a leading mid-sized business IT and consulting company that combines modern technologies and proven methodologies to tailor solutions that move your business forward. Our global head office is based in Singapore, and our team is made up of a diversely talented team of experts who thrive on innovation and pushing the bounds of technology to solve our customers’ most pressing challenges. When it comes time to deliver, we set our sights on that sweet spot where brilliance, emerging technologies, best practices, and accountability converge. We have a global presence spanning four continents (North America, South America, Europe, and Asia). Our global network of talent and customer-centric engagement model enables us to provide top-quality services on an unprecedented scale. WHAT WE’RE ABOUT: We believe that collaboration, transparency, and accountability are the values that guide our business, our delivery, and our brand. Everyone has something to bring to the table, and we believe in working together with our peers and clients to leverage the best of one another in everything we do. When we proactively collaborate, business decisions become easier, innovation is greater, and outcomes are better. Our ability to achieve our mission and live out our values depends upon a diverse, equitable, and inclusive culture. So, we strive to foster a workplace where people have the respect, support, and voice they deserve, where innovative ideas flourish, and where people can unleash their brilliance. For more information regarding DEI at Beyondsoft, please go to ADDITIONAL REQUIREMENT FOR REMOTE POSITIONS: For remote positions, all candidates must complete a video screen with our corporate recruiting team. Responsibilities

Position Summary: We are seeking a highly skilled and experienced Azure AI Solutions Engineer to join our team. The ideal candidate will have a strong background in Azure AI technologies, proficiency in Python, C#, and TypeScript, and the ability to independently design and implement solutions based on high-level requirements. This role requires excellent English comprehension to interpret internal documents and collaborate effectively with global teams. WHAT YOU WILL BE DOING: Design, develop, and deploy Azure AI solutions (e.g., OpenAI, Cognitive Services, Azure Machine Learning) to address business needs. Translate high-level acceptance criteria into detailed implementation plans, considering internal tools, documentation, and best practices. Collaborate with cross-functional teams to integrate AI solutions into existing systems. Write clean, maintainable code in Python, C#, and TypeScript for backend services, APIs, and automation tools. Optimize AI models and pipelines for performance, scalability, and costefficiency. Mentor junior engineers and provide technical guidance. Qualifications

MINIMUM QUALIFICATIONS: 5+ years of experience in software development, with at least 3 years focused on Azure AI/ML solutions. Expertise in: Programming languages: Python, C#, TypeScript. Azure services: OpenAI, Azure ML, Cognitive Services, Kubernetes (AKS), Azure DevOps. Cloud-native development: Serverless architectures, microservices, CI/CD pipelines. Strong ability to comprehend technical documents in English and produce clear documentation. Proven track record of delivering projects with minimal supervision. Languge rquired: Mandarin + English. Certifications: Microsoft Certified: Azure AI Engineer Associate or similar is plus. Beyondsoft provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type with regards to race, color, religion, age, sex, national origin, disability status, genetics, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, and the full employee lifecycle up through and including termination.

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We are hiring behalf of our Hong Kong based , AI company at the forefront of enterprise innovation. This company specialises in delivering cutting-edge Generative AI solutions tailored for enterprise clients across AMEA region.

We are seeking

Enterprise AI Solutions Consultant

and this role will play a critical role in bridging the gap between clients and AI engineering team. You will be responsible for understanding client business cahlleges , designing bespoke Generative Ai solutions and ensuring successful implementation. Key Responsibilities:

Engage enterprise clients to understand their business challenges and identify high-impact AI opportunities Design and propose tailored Generative AI solutions using proprietary models and technologies Collaborate with engineering and product teams to scope, develop and deploy solutions that align with client objectives Lead workshops, product demos and training sessions to promote client understanding and adoption Provide strategic guidance on integrating AI into existing systems, processes and workflows Support the full lifecycle of AI deployment from pilot testing to enterprise scale rollouts. Collect client feedback and translate it into actionable insights for continuous product improvement Stay up to date with advancements in Generative Ai and LLMs, particularly for low resource language relevant to the AMEA region

Requirements:

Bachelor's or Master's Degree in Computer Science, Data Science or related field Over 3 years of experience in AI consulting, enterprise tech solutions or related roles Solid understanding of Generative Ai, LLMs and machine learning technologies Proven track record of translating business needs into effective AI solutions Familiar with AI deployment tools, APIs and cloud platforms (e.g AWS, Azure, GCP) is a plus Knowledge of low-resouce languages or multilingual NLP solutions is highly desirable Fluent in written and spoken English, Mandarin and Cantonese

Benefits & Perks:

Flexible and remote-friendly work environment Opportunity to work at the cutting edge of AI innovation in high growth emerging markets Competitive salary Performance-based incentives

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• This role bridges the gap between platform teams and business teams, focusing on enabling chatbot functionality, refining outputs from knowledge management systems, and fostering collaboration. This role is crucial for leveraging generative AI technologies to ensure that the systems are reliable, fair, and aligned with user expectations.

• Advocate for the adoption of cutting-edge AI technologies and frameworks, driving the evolution of backend practices to meet future challenges.

Key Responsibilities

• Chatbot Enablement: Oversee the deployment and optimization of chatbot systems. Refine chatbot outputs by improving the knowledge management system and ensuring accuracy and relevance.
• Collaboration: Work with platform teams to provide feedback on model improvements. Collaborate with developers and data scientists to refine algorithms. Partner with business teams to understand their needs and tailor chatbot solutions.
• Knowledge Management: Collaborate with specialists to maintain and update the chatbot's knowledge base. Ensure the chatbot understands context and provides meaningful responses.
• Data Quality Assurance: Preprocess test data, verify training data integrity, and identify issues like data bias or insufficiency.
• Develop Testing Strategies: Design and implement testing strategies, create automated test suites for AI/ML pipelines and APIs.
• Testing Generative AI Systems: Validate outputs for accuracy, consistency, and fairness. Conduct various tests and ensure ethical standards by identifying biases.
• Documentation and Reporting: Document test cases, procedures, and results. Analyze validation data trends to identify improvement areas.

Additional Responsibilities

• Training and Feedback: Conduct training for users, gather feedback for improvements.
• Monitoring and Reporting: Monitor performance metrics and report to stakeholders.

Strategy & Business

• Oversee standards and provide technical assistance. Responsible for code quality and aligning with domain strategies. Focus on capability building rather than application ownership. Drive technological excellence and provide strategic leadership in Java backend expertise.

• Contribute to squad delivery, balance skills across teams, and evolve practices towards automation and innovation. Collaborate to meet functional and strategic goals.

Skills and Experience

• Processes: Promote feedback, adopt change standards, clarify roles, and build capability.
• People & Talent: Focus on skill development and capability growth.
• Risk Management: Follow standards, mitigate risks, and develop contingency plans.
• Governance: Ensure compliance with standards and policies.

Qualifications

• Soft Skills: Strong communication, critical thinking, analytical skills, and data interpretation.
• Technical Skills: Proficiency in Python or Java, testing frameworks like PyTest, familiarity with ML frameworks (TensorFlow, PyTorch), and understanding of CI/CD tools like Azure DevOps.
• Educational & Experience: Bachelor’s in CS or related, 2-3+ years in QA/validation roles for AI/ML, knowledge of ethical AI, ability to work in fast-paced environments.

About Standard Chartered

We are an international bank committed to making a positive impact, valuing diversity, and fostering an inclusive environment. Our purpose is to drive commerce and prosperity through our unique diversity, and we uphold our values through our behaviors.

We offer competitive salaries, benefits, flexible working, wellbeing support, continuous learning opportunities, and a culture that celebrates diversity and inclusion.

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Press Tab to Move to Skip to Content Link • This role bridges the gap between platform teams and business teams, focusing on enabling chatbot functionality, refining outputs from knowledge management systems, and fostering collaboration. This role is crucial for leveraging generative AI technologies to ensure that the systems are reliable, fair, and aligned with user expectations. • Advocate for the adoption of cutting-edge AI technologies and frameworks, driving the evolution of backend practices to meet future challenges. Key Responsibilities

Chatbot Enablement:

Oversee the deployment and optimization of chatbot systems. Refine chatbot outputs by improving the knowledge management system and ensuring accuracy and relevance. Collaboration:

Work with platform teams to provide feedback on model improvements. Collaborate with developers and data scientists to refine algorithms. Partner with business teams to understand their needs and tailor chatbot solutions. Knowledge Management:

Collaborate with specialists to maintain and update the chatbot's knowledge base. Ensure the chatbot understands context and provides meaningful responses. Data Quality Assurance:

Preprocess test data, verify training data integrity, and identify issues like data bias or insufficiency. Develop Testing Strategies:

Design and implement testing strategies, create automated test suites for AI/ML pipelines and APIs. Testing Generative AI Systems:

Validate outputs for accuracy, consistency, and fairness. Conduct various tests and ensure ethical standards by identifying biases. Documentation and Reporting:

Document test cases, procedures, and results. Analyze validation data trends to identify improvement areas. Additional Responsibilities

Training and Feedback:

Conduct training for users, gather feedback for improvements. Monitoring and Reporting:

Monitor performance metrics and report to stakeholders. Strategy & Business

• Oversee standards and provide technical assistance. Responsible for code quality and aligning with domain strategies. Focus on capability building rather than application ownership. Drive technological excellence and provide strategic leadership in Java backend expertise. • Contribute to squad delivery, balance skills across teams, and evolve practices towards automation and innovation. Collaborate to meet functional and strategic goals. Skills and Experience

Processes:

Promote feedback, adopt change standards, clarify roles, and build capability. People & Talent:

Focus on skill development and capability growth. Risk Management:

Follow standards, mitigate risks, and develop contingency plans. Governance:

Ensure compliance with standards and policies. Qualifications

Soft Skills:

Strong communication, critical thinking, analytical skills, and data interpretation. Technical Skills:

Proficiency in Python or Java, testing frameworks like PyTest, familiarity with ML frameworks (TensorFlow, PyTorch), and understanding of CI/CD tools like Azure DevOps. Educational & Experience:

Bachelor’s in CS or related, 2-3+ years in QA/validation roles for AI/ML, knowledge of ethical AI, ability to work in fast-paced environments. About Standard Chartered

We are an international bank committed to making a positive impact, valuing diversity, and fostering an inclusive environment. Our purpose is to drive commerce and prosperity through our unique diversity, and we uphold our values through our behaviors. We offer competitive salaries, benefits, flexible working, wellbeing support, continuous learning opportunities, and a culture that celebrates diversity and inclusion.

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Overview

Cloud Solution Architect - AI Business Solutions at Microsoft, Kuala Lumpur, Malaysia. The Customer Success Architect (CSA) for AI Business Solutions enables enterprise customers to transform their business through AI-powered solutions. Working within the Customer Success Unit (CSU), the CSA leads technical engagements across AI Workforce and AI Business Process portfolios, designing and implementing secure, scalable, and resilient architectures using Microsoft technologies such as Microsoft 365 Copilot, Copilot Studio, and Power Platform. The CSA guides customers through the Copilot journey from envisioning to deployment and adoption, applying value-based delivery frameworks and Success by Design methodologies. The role combines technical delivery with business strategy, customer advocacy, change management, and ongoing opportunities to drive consumption and growth. This position recognizes technical excellence, innovation, business strategy, and customer obsession.

Responsibilities

• Operates with operational excellence and proven practice standards throughout all stages of customer engagements. Collaborates across Microsoft and customer/partner teams to achieve objectives and increase satisfaction. Proactively manages risks, adheres to guidelines, and prioritizes tasks to align with business priorities.
• Delivers solutions in line with company methodologies (e.g., value-based deliverables, advice, training, technical validation), supports organizational adoption, and helps customers deploy for long-term success to increase satisfaction and drive consumption. Guides customers/partners toward well-architected, secure, resilient, AI-enabled, cost- and performance-optimized solutions.
• Identifies new opportunities for consumption and unified expansion at scale based on business value and the Microsoft value proposition. Gathers and maps customer insights to business outcomes and collaborates across the organization to pursue opportunities aligned with the Customer Engagement Model.
• Identifies, escalates, and mitigates blockers to accelerate deployment, value realization, and usage. Applies knowledge to meet architecture and IT requirements and resolve constraints.

Customer Centricity

• Acts as the voice of the customer/partner, sharing feedback with engineering, product, and internal communities. Develops strategic and actionable insights and influences product roadmaps and prioritization.
• Translates customer problems into industry solutions aligned with Microsoft strategy, explaining ROI and outcomes through proofs of concept, MVPs, or rapid prototypes.
• Helps customers adopt cross-solution area strategies, builds relationships with technical and business decision-makers, and engages with CIO/CISO and other CXO roles when required to address security, compliance, and risk considerations.
• Drives a positive customer experience, defines success criteria, anticipates dissatisfaction, and implements strategies to improve value realization and transformation speed.
• Identifies opportunities aligned with revenue goals and supports partners and sales teams with pre-sales and proof of concept activities to clarify opportunities.

Technical Leadership

• Leverages market insights to drive readiness and upskilling within CSU and across corporate initiatives (security, resilience, AI). Mentors teams and leads readiness activities.
• Identifies gaps in delivery, communicates them to stakeholders, and contributes to improvements in products, IP, technologies, and processes to scale solutions across customers. Contributes to Microsoft's frameworks and methodologies with thought leadership.
• Leads and participates in virtual teams and engagements, sharing strategic and technical input with internal and external audiences, and contributes to IP development and scalable models in AI scenarios.
• Participates in external events to elevate Microsoft brand and share learnings across teams.

Capabilities And Skills Driving Customer Outcomes

• Map customer requirements to offerings to ensure solutions meet expectations and drive success.

Leading with Technical Intensity

• Act as a trusted technical advisor, grow technical skills aligned with cloud strategy, and help customers make informed business decisions.

Technical Skills

• M365 Administration
  • Assigning Copilot licenses
  • Configuring SharePoint Advanced Management
  • Managing Microsoft Graph connectors
  • Ensuring data readiness for semantic search
• M365 Copilot and Copilot Studio
  • No-code agent creation using natural language
  • Connecting to SharePoint, Outlook, and Teams
  • Power Platform integration
  • REST API and custom connectors
  • Event-driven workflows
  • Data engineering and MLOps
  • Responsible AI practices
  • Conversational UX design
  • Prompt engineering (for advanced scenarios)
• Security & Compliance
  • Implementing Microsoft Purview for data governance
  • Managing sensitivity labels and access controls
  • Oversharing prevention and audit logging

Understanding the Business

• Understand Microsoft strategy, consumption, and support and connect them to customer outcomes, using data to identify opportunities and demonstrate success.
• Identify business needs and determine solutions, including software development, process improvement, organizational change, or policy development.
• Develop positive working relationships with supervisors, staff, managers, customers, and vendors, demonstrating empathy and respect.
• Interact confidently with senior leaders to present and defend concerns, handling difficult questions while maintaining professionalism.

Qualifications

Required/minimum qualifications: Bachelor’s Degree in Computer Science, IT, Engineering, Business, Liberal Arts, or related field AND 4+ years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, architecture, or related fields. OR equivalent experience.

• Additional or preferred qualifications: 8+ years in cloud/infrastructure tech, IT consulting/support, or related, or Master’s Degree with 6+ years experience; 4+ years in a customer-facing role; 4+ years on technical projects.
• Technical Certification in Cloud (Azure, AI, Power Platform, M365, security).

Microsoft is an equal opportunity employer. If you need assistance due to a disability during the application process, read more about requesting accommodations.

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The Customer Success Architect (CSA) for AI Business Solutions is responsible for enabling Microsoft's enterprise customers to achieve business transformation through AI-powered solutions. Operating within the Customer Success Unit (CSU), the CSA plays a strategic role in leading technical engagements across AI Workforce and AI Business Process portfolios. This includes designing and implementing secure, scalable, and resilient architectures using Microsoft technologies such as Microsoft 365 Copilot, Copilot Studio, and Power Platform.
The CSA guides customers through the entire Copilot journey, from envisioning to deployment and adoption, applying value-based delivery frameworks and Success by Design methodologies. In this capacity, the CSA serves as a trusted advisor and advocate for customers and partners, translating feedback and insights into actionable solutions that align with industry best practices.
Beyond technical delivery, the CSA acts as a business strategist and customer advocate, translating feedback and insights into actionable solution designs that align with industry trends and customer goals. The role demands strong business value literacy, the ability to articulate ROI and transformation impact, and experience in change management and customer success planning. The CSA identifies opportunities to drive consumption and usage growth, ensures operational excellence, and collaborates across engineering, field, and partner teams to scale delivery and support unified customer success.
This position is recognized for technical excellence, innovation, business strategy, and customer obsession.
**Responsibilities**
**Business Impact**
+ Operates according to required operational excellence and proven practice standards throughout all sales stages/activities/tools of record (e.g., pipeline updates, time tracking). Collaborates across Microsoft and customer/partner teams through on-strategy delivery to achieve customer/partner objectives and increase customer/partner satisfaction. Proactively manages business and technical risks, adapts methodology and applies governance principles to identify, communicate, and minimize business and technical risks. Executes work in compliance with industry and Microsoft guidelines and procedures. Continuously prioritizes among competing demands in their work and identifies where impact occurs with customers, ensuring alignment with business priorities and goals.
+ Delivers solutions in line with company methodologies (e.g., product offerings such as value-based deliverables (VBDs), advice, training, technical validation), ensuring proven practices and patterns are followed to prepare customers for operational readiness and achievement of their business goals and targets. Leveraging knowledge of change management proven practices and/or involving the change management team, proactively helps the customer deploy for long-term organizational adoption to increase customer satisfaction and drive consumption/usage. Guides customers/partners towards a well-architected (e.g., secure, resilient, artificial intelligence (AI)-enabled), and cost- and performance-optimized solution to increase retention and expansion opportunities. Provides feedback to Unified Delivery Team on VBDs to refine and further develop content.
+ Proactively identifies new opportunities for Consumption, Usage & Unified expansion (especially Enhanced Solutions) at scale based on business value to customer/partner and clear understanding of the Microsoft value proposition for supported platforms to empower cloud success, foster and strengthen security and resiliency, and drive AI innovation. Actively listens to and respectfully challenges customers/partners, building trust to then advocate for alternative architectures/solutions/approaches that shape and/or enhance customer requirements. Identifies, and evaluates industry trends (e.g., customer industry verticals, information technology (IT) industry), gathers customer/partner insights (e.g., feedback around technical preferences, environments, business needs, competitive landscape), and maps existing architecture and digital transformation solutions to customer/partner business outcomes. Proactively captures opportunities in appropriate systems, processes, and tools, working collaboratively across the organization to execute on opportunities aligned with Microsoft's Customer Engagement Model.
+ Proactively identifies, escalates, and mitigates blockers using appropriate tools and processes to accelerate solution deployment, value realization and usage/consumption. Applies business, technical, industry, and/or enterprise knowledge to architecture or support projects to meet business and information technology (IT) requirements and resolve identified constraints.
**Customer Centricity**
+ Proactively acts as the voice of the customer/partner, sharing ideas, feedback, insights, success stories and strategic/technical input with Engineering teams, Product Offerings teams and internal communities leveraging relevant insights from feedback tools and systems. Identifies patterns of feedback across customers/partners/territories/industries and leverages them to develop strategic and actionable insights. Presents business cases to program managers to influence product roadmaps, decision making, bug fix prioritization, and own and drive initiatives as appropriate.
+ Identifies and/or translates customer/partner problems into industry solutions aligned with Microsoft product and platform strategy, and explains why and/or how they meet customer/partner outcomes and return on investment (ROI) goals (e.g., via proof of concept, minimally viable product (MVP), rapid prototype) relative to competitive offerings.
+ Proactively helps the customer/partner adopt and use Microsoft product/platform strategy-aligned (cross-solution area) solutions. Builds relationships with technical decision makers (TDMs), and helps build the bridge between TDMs and business decision makers (BDMs). Independently interacts as needed with customers/partners' Chief Information Officer (CIO), Chief Information Security Officer (CISO) and other C-level (CXO) roles to bridge understanding of security, compliance, operational and risk requirements across BDMs, TDMs, CIO and CISO teams, appropriately engaging additional subject matter experts when deeper expertise is required.
+ Drives self and guides other team members to focus on customer/partner experience through efficient delivery and ensuring a seamless and connected customer experience. Defines customer/partner conditions of success by leveraging an understanding of customer goals. Anticipates and addresses customer/partner dissatisfaction and unmet needs, and executes strategies to improve customer experience, value realization, and acceleration of transformation.
+ Identifies and prioritizes several opportunities that align with revenue goals, and orchestrates growth of solution utilization pipeline with partners. Provides assistance with partner and sales teams to bring clarity to specific opportunities through proof of concept and technical pre-sales support.
**Technical Leadership**
+ Leverages market insights and demand signals to assist leadership in identifying relevant areas in which to drive up-skilling and/or accreditations based on demand. Role models technical readiness, both depth-aligned to solution area priorities and breadth-aligned to Customer Success Unit (CSU)/corporate initiatives (e.g., security, resilience, AI), and influences team to drive their own technical readiness. Acts as a mentor, leading readiness and upskilling activities in the team/organization by educating colleagues on technical and non-technical concepts and sharing proven practices.
+ Proactively identifies gaps through delivery, communicates those gaps to relevant team members and internal/external stakeholders, and connects gaps and patterns across business and technology areas that drive changes and improvements to products, IP (both existing and new), technologies, and/or processes/practices that enable solutions to scale across customers. Contributes to the development and modification of Microsoft's structured frameworks and methodologies. Provides thought leadership and innovation to customers/partners and internal communities at the local level.
+ Contributes to leading virtual teams (v-teams) around technologies and customer/partner challenges, and shares ideas, insights, and strategic, technical input with technical teams, internal communities across the field, and the larger virtual team across Microsoft using knowledge of Microsoft architectures and their context in the competitive landscape.
+ Demonstrates strong industry knowledge and increases recognition for Microsoft solutions by contributing to and sometimes leading presentations and engagements with external and internal audiences (e.g., Tech Connect, Build, Ignite) Contributes to intellectual property (IP) and identifies patterns where no IP exists (e.g., CoPilot and AI scenarios) to help build scalable and repeatable models. Participates in external technical and non-technical community events (e.g., conferences, seminars, technical meetups, webcasts, blogs, hackathons) that elevate the Microsoft brand and shares learnings across internal teams
**Capabilities and Skills**
Driving Customer Outcomes
+ Understanding and mapping customer requirements to the company's offerings effectively. Identifying opportunities, translating customer needs into tailored solutions, ensuring that products or services precisely meet customer expectations, resulting in high levels of satisfaction and success.
Leading with Technical Intensity
+ Being the trusted technical advisor to the customer, prioritizing technical skills growth aligned with our cloud strategy, and infusing technical insight into helping the customer make the right business decisions.
Technical Skills
+ M365 Administration
+ Assigning Copilot licenses
+ Configuring SharePoint Advanced Management
+ Managing Microsoft Graph connectors
+ Ensuring data readiness for semantic search
+ M365 Copilot and Copilot Studio
+ No-code agent creation using natural language
+ Connecting to SharePoint, Outlook, and Teams
+ Power Platform integration
+ REST API and custom connectors
+ Event-driven workflows
+ Data engineering and MLOps
+ Responsible AI practices
+ Conversational UX design
+ Prompt engineering (for advanced scenarios)
+ Security & Compliance
+ Implementing Microsoft Purview for data governance
+ Managing sensitivity labels and access controls
+ Oversharing prevention and audit logging
**Understanding the Business**
+ Understanding the business means having a firm grasp of the Microsoft strategy, consumption, and support and connecting that to customer outcomes, using data to find new opportunities and demonstrate customer success, and leverage our internal systems to accurately capture the state of your customer.
+ The ability to identify business needs and determine solutions to business problems; solutions may include a software-systems development component, process improvement, organizational change or strategic planning and policy development.
+ The ability to develop and maintain positive working relationships with supervisors, staff, managers, customers, and vendors. This includes expressing empathy and compassion when dealing with the needs and problems of others, being approachable, taking time to address the concerns of coworkers, and treating others with respect and dignity
+ The ability to interact confidently with senior leaders of the organization in order to present/defend/clarify concerns or issues regarding an existing project, program, or solution. This includes the ability to confidently address difficult questions, handle push back from a high-level audience, and maintain an executive demeanor while engaging in difficult or sometimes high-pressure situations.
**Qualifications**
**Required/minimum qualifications**
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
**Additional or preferred qualifications**
+ Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
+ 4+ years experience working in a customer-facing role (e.g., internal and/or external).
+ 4+ years experience working on technical projects.
+ Technical Certification in Cloud (e.g., Azure, AI, Power Platform, M365 and security certifications).
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations ( .

Overview

Cloud Solution Architect - AI Business Solutions at Microsoft, Kuala Lumpur, Malaysia. The Customer Success Architect (CSA) for AI Business Solutions enables enterprise customers to transform their business through AI-powered solutions. Working within the Customer Success Unit (CSU), the CSA leads technical engagements across AI Workforce and AI Business Process portfolios, designing and implementing secure, scalable, and resilient architectures using Microsoft technologies such as Microsoft 365 Copilot, Copilot Studio, and Power Platform. The CSA guides customers through the Copilot journey from envisioning to deployment and adoption, applying value-based delivery frameworks and Success by Design methodologies. The role combines technical delivery with business strategy, customer advocacy, change management, and ongoing opportunities to drive consumption and growth. This position recognizes technical excellence, innovation, business strategy, and customer obsession.

Responsibilities

Operates with operational excellence and proven practice standards throughout all stages of customer engagements. Collaborates across Microsoft and customer/partner teams to achieve objectives and increase satisfaction. Proactively manages risks, adheres to guidelines, and prioritizes tasks to align with business priorities.

Delivers solutions in line with company methodologies (e.g., value-based deliverables, advice, training, technical validation), supports organizational adoption, and helps customers deploy for long-term success to increase satisfaction and drive consumption. Guides customers/partners toward well-architected, secure, resilient, AI-enabled, cost- and performance-optimized solutions.

Identifies new opportunities for consumption and unified expansion at scale based on business value and the Microsoft value proposition. Gathers and maps customer insights to business outcomes and collaborates across the organization to pursue opportunities aligned with the Customer Engagement Model.

Identifies, escalates, and mitigates blockers to accelerate deployment, value realization, and usage. Applies knowledge to meet architecture and IT requirements and resolve constraints.

Customer Centricity

Acts as the voice of the customer/partner, sharing feedback with engineering, product, and internal communities. Develops strategic and actionable insights and influences product roadmaps and prioritization.

Translates customer problems into industry solutions aligned with Microsoft strategy, explaining ROI and outcomes through proofs of concept, MVPs, or rapid prototypes.

Helps customers adopt cross-solution area strategies, builds relationships with technical and business decision-makers, and engages with CIO/CISO and other CXO roles when required to address security, compliance, and risk considerations.

Drives a positive customer experience, defines success criteria, anticipates dissatisfaction, and implements strategies to improve value realization and transformation speed.

Identifies opportunities aligned with revenue goals and supports partners and sales teams with pre-sales and proof of concept activities to clarify opportunities.

Technical Leadership

Leverages market insights to drive readiness and upskilling within CSU and across corporate initiatives (security, resilience, AI). Mentors teams and leads readiness activities.

Identifies gaps in delivery, communicates them to stakeholders, and contributes to improvements in products, IP, technologies, and processes to scale solutions across customers. Contributes to Microsoft's frameworks and methodologies with thought leadership.

Leads and participates in virtual teams and engagements, sharing strategic and technical input with internal and external audiences, and contributes to IP development and scalable models in AI scenarios.

Participates in external events to elevate Microsoft brand and share learnings across teams.

Capabilities And Skills Driving Customer Outcomes

Map customer requirements to offerings to ensure solutions meet expectations and drive success.

Leading with Technical Intensity

Act as a trusted technical advisor, grow technical skills aligned with cloud strategy, and help customers make informed business decisions.

Technical Skills

M365 Administration

Assigning Copilot licenses

Configuring SharePoint Advanced Management

Managing Microsoft Graph connectors

Ensuring data readiness for semantic search

M365 Copilot and Copilot Studio

No-code agent creation using natural language

Connecting to SharePoint, Outlook, and Teams

Power Platform integration

REST API and custom connectors

Event-driven workflows

Data engineering and MLOps

Responsible AI practices

Conversational UX design

Prompt engineering (for advanced scenarios)

Security & Compliance

Implementing Microsoft Purview for data governance

Managing sensitivity labels and access controls

Oversharing prevention and audit logging

Understanding the Business

Understand Microsoft strategy, consumption, and support and connect them to customer outcomes, using data to identify opportunities and demonstrate success.

Identify business needs and determine solutions, including software development, process improvement, organizational change, or policy development.

Develop positive working relationships with supervisors, staff, managers, customers, and vendors, demonstrating empathy and respect.

Interact confidently with senior leaders to present and defend concerns, handling difficult questions while maintaining professionalism.

Qualifications Required/minimum qualifications: Bachelor’s Degree in Computer Science, IT, Engineering, Business, Liberal Arts, or related field AND 4+ years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, architecture, or related fields. OR equivalent experience.

Additional or preferred qualifications: 8+ years in cloud/infrastructure tech, IT consulting/support, or related, or Master’s Degree with 6+ years experience; 4+ years in a customer-facing role; 4+ years on technical projects.

Technical Certification in Cloud (Azure, AI, Power Platform, M365, security).

Microsoft is an equal opportunity employer. If you need assistance due to a disability during the application process, read more about requesting accommodations.

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Overview

Primary Objectives
To lead and inspire the AI engineering team in driving innovation
Overseeing the end-to-end design and deployment of scalable, secure, and compliant AI solutions, and establishing best practices and standards
Ensures the optimal evaluation and integration of AI technologies aligned with the RHB ’s ecosystem, while collaborating closely with stakeholders to align AI initiatives with business goals
Actively contributes to governance by advising on AI risks and progress, ensuring regulatory and ethical compliance, proactively mitigating risks, and fostering a culture of continuous learning and knowledge sharing within the team

Experiences

• Experience building, or being an active member of AI Engineering or of similar nature in the past
• Must have worked in the capacity of a senior executive and drove the AI engineering practice of similar nature like RHB
• Experience in deploying AI solutions with Generative AI tools
• Proven track record in scaling engineering teams and fostering a high-performance culture
• Professional experience architecting and operating solutions built on Azure/AWS AI offerings

Other Skills Required

• Deep knowledge of ISO 42001 and NIST AI RMF best practices
• Strong programming background in Python / .NET
• Proficiency in model lifecycle management, and performance monitoring
• Work iteratively in a team (Agile ways of working) with continuous collaboration
• Self-motivated and strong communication
• Ability to lead and influence team members
• Problem management and analytical thinking.
• High attention to detail, with a strong focus on quality and accountability

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