99 AI Team Lead jobs in Malaysia
AI Development Team Lead
Posted 8 days ago
Job Viewed
Job Description
Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.
Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.
Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.
AI Development Team Lead
Posted 8 days ago
Job Viewed
Job Description
Job Summary:
The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals.
Key Responsibilities:
Strategic Planning & Execution
• Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs.
• Translate high-level strategy into actionable technical tasks and sprint plans.
• Evaluate and recommend AI technologies, platforms, tools, and best practices.
Team Leadership & Management
• Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists).
• Conduct regular one-on-ones, performance reviews, and skill gap assessments.
• Promote a collaborative, transparent, and accountable team environment.
Technical Oversight
• Oversee design, development, testing, deployment, and maintenance of AI/ML models.
• Perform code reviews, model validation, and ensure adherence to engineering standards.
• Identify and resolve technical bottlenecks, support experimentation and innovation.
Project Management
• Manage project timelines, resource allocation, risk assessments, and reporting.
• Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives).
• Monitor and report on progress, blockers, and deliverables to HOD and stakeholders.
Cross-Functional Collaboration
• Work closely with product managers, data engineers, software teams, and business stakeholders.
• Ensure AI models and systems integrate well with broader platforms or customer touchpoints.
• Translate business questions into data science problems and actionable models.
Governance, Ethics & Compliance
• Ensure all AI/ML developments comply with data privacy laws and AI ethics standards.
• Define policies for model retraining, versioning, and explainability.
Qualifications & Skills:
Education:
• Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields.
• Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus.
Experience:
• 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role.
• Proven experience in deploying ML models into production (real-time or batch).
• Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc.
Technical Proficiency:
• Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc.
• Experience with model lifecycle: training, tuning, deployment, and monitoring.
• Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI.
• Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines.
• Experience working with cloud platforms: AWS, GCP, Azure.
Soft Skills:
• Excellent communication and stakeholder management skills.
• Strong leadership, team-building, and conflict resolution skills.
• Analytical mindset with attention to both big-picture strategy and technicaldetail.
AI Development Team Lead
Posted 5 days ago
Job Viewed
Job Description
Job Summary: The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals. Key Responsibilities: Strategic Planning & Execution • Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs. • Translate high-level strategy into actionable technical tasks and sprint plans. • Evaluate and recommend AI technologies, platforms, tools, and best practices. Team Leadership & Management • Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists). • Conduct regular one-on-ones, performance reviews, and skill gap assessments. • Promote a collaborative, transparent, and accountable team environment. Technical Oversight • Oversee design, development, testing, deployment, and maintenance of AI/ML models. • Perform code reviews, model validation, and ensure adherence to engineering standards. • Identify and resolve technical bottlenecks, support experimentation and innovation. Project Management • Manage project timelines, resource allocation, risk assessments, and reporting. • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). • Monitor and report on progress, blockers, and deliverables to HOD and stakeholders. Cross-Functional Collaboration • Work closely with product managers, data engineers, software teams, and business stakeholders. • Ensure AI models and systems integrate well with broader platforms or customer touchpoints. • Translate business questions into data science problems and actionable models. Governance, Ethics & Compliance • Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. • Define policies for model retraining, versioning, and explainability. Qualifications & Skills: Education: • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields. • Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus. Experience: • 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role. • Proven experience in deploying ML models into production (real-time or batch). • Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc. Technical Proficiency: • Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc. • Experience with model lifecycle: training, tuning, deployment, and monitoring. • Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI. • Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines. • Experience working with cloud platforms: AWS, GCP, Azure. Soft Skills: • Excellent communication and stakeholder management skills. • Strong leadership, team-building, and conflict resolution skills. • Analytical mindset with attention to both big-picture strategy and technicaldetail.
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AI Development Team Lead
Posted 5 days ago
Job Viewed
Job Description
Job Summary: The AI Development Team Lead is responsible for managing and mentoring a team of AI engineers, ML developers, and data scientists. This role bridges strategic objectives from the Head of Department (HOD) with execution by the technical team. The ideal candidate combines technical AI/ML expertise with project management and people leadership to ensure the successful delivery of AI initiatives that align with business goals. Key Responsibilities: Strategic Planning & Execution • Collaborate with HOD to define AI vision, goals, and KPIs aligned with business needs. • Translate high-level strategy into actionable technical tasks and sprint plans. • Evaluate and recommend AI technologies, platforms, tools, and best practices. Team Leadership & Management • Lead, mentor, and manage a multidisciplinary team (AI engineers, ML specialists, data scientists). • Conduct regular one-on-ones, performance reviews, and skill gap assessments. • Promote a collaborative, transparent, and accountable team environment. Technical Oversight • Oversee design, development, testing, deployment, and maintenance of AI/ML models. • Perform code reviews, model validation, and ensure adherence to engineering standards. • Identify and resolve technical bottlenecks, support experimentation and innovation. Project Management • Manage project timelines, resource allocation, risk assessments, and reporting. • Facilitate Agile ceremonies (sprint planning, stand-ups, retrospectives). • Monitor and report on progress, blockers, and deliverables to HOD and stakeholders. Cross-Functional Collaboration • Work closely with product managers, data engineers, software teams, and business stakeholders. • Ensure AI models and systems integrate well with broader platforms or customer touchpoints. • Translate business questions into data science problems and actionable models. Governance, Ethics & Compliance • Ensure all AI/ML developments comply with data privacy laws and AI ethics standards. • Define policies for model retraining, versioning, and explainability. Qualifications & Skills: Education: • Bachelor’s or Master’s in Computer Science, Artificial Intelligence, Data Science, or related fields. • Certifications in AI/ML (e.g., Google AI, AWS ML, Microsoft AI Engineer) are a plus. Experience: • 5–8 years total in AI/ML, with 2–3 years in a leadership or technical management role. • Proven experience in deploying ML models into production (real-time or batch). • Familiarity with Agile/Scrum practices and tools like Jira, Confluence, Git, etc. Technical Proficiency: • Proficient in Python and ML libraries: TensorFlow, PyTorch, scikit-learn, etc. • Experience with model lifecycle: training, tuning, deployment, and monitoring. • Strong understanding of supervised/unsupervised learning, NLP, computer vision, or generative AI. • Familiarity with MLOps: Docker, Kubernetes, MLFlow, CI/CD for AI pipelines. • Experience working with cloud platforms: AWS, GCP, Azure. Soft Skills: • Excellent communication and stakeholder management skills. • Strong leadership, team-building, and conflict resolution skills. • Analytical mindset with attention to both big-picture strategy and technicaldetail.
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Lead AI Engineer
Posted 2 days ago
Job Viewed
Job Description
Join to apply for the Lead AI Engineer role at BJAK
1 week ago Be among the first 25 applicants
Join to apply for the Lead AI Engineer role at BJAK
Get AI-powered advice on this job and more exclusive features.
Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we’re using AI to solve real, high-impact problems - from fraud detection and risk modeling to smart, personalized user experiences that make insurance and financial services more inclusive and accessible. As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region.
This is a hybrid role based in Malaysia, combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.
Why This Role Matters
- You’ll build and deploy core AI systems that impact real users across Southeast Asia.
- You’ll act as the right hand to the Head of AI, influencing roadmap, execution, and technical standards.
- You’ll help shape and grow a world-class AI team through mentorship and hiring.
- You’ll raise the bar on technical quality, delivery speed, and scalable architecture.
- Design, train, and deploy production-grade ML models for business-critical use cases.
- Collaborate closely with product, data, and engineering teams to define and execute AI solutions.
- Lead technical decision-making on model design, deployment pipelines, and infrastructure.
- Own the full model lifecycle - from data prep and training to evaluation, monitoring, and retraining.
- Guide junior AI engineers through code reviews, project planning, and mentorship
- Drive the hiring process: screen candidates, evaluate technical fit, and onboard top talent.
- Champion best practices in experimentation, model development, and production of AI
- Stay ahead of the curve - evaluate new tools, frameworks, and advancements in AI.
- Are both a builder and a leader - you roll up your sleeves and raise the bar for others.
- Care deeply about real-world impact - you think beyond accuracy to user outcomes.
- Take ownership and bring structure to ambiguity with action, not over-analysis
- Enjoy developing others - helping junior teammates grow is part of your success
- Thrive in a high-speed, high-trust startup culture where priorities shift and execution matters
- Embrace learning, feedback, and iteration as integral components of your engineering process.
- Communicate clearly - you can align cross-functional teams on complex AI systems.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 4–6 years of experience in AI/ML engineering, with models deployed in production
- Strong Python skills and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn)
- Solid understanding of ML lifecycles - from data pipelines and feature engineering to tuning, deployment, and monitoring
- Real-world experience building AI systems in domains like recommendation, NLP, or risk modeling
- Experience mentoring junior engineers and collaborating cross-functionally
- Strong written and verbal communication skills
- Based in Malaysia and open to hybrid work from our Petaling Jaya HQ
- Familiarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS)
- Experience in responsible AI practices - fairness, explainability, and transparency
- Startup background or experience in fast-moving product teams
- Built internal AI tools, reusable components, or ML platforms
- Competitive salary and performance-based bonuses
- Hybrid flexibility - a mix of remote work and in-office collaboration at HQ
- High ownership and direct impact - report to the Head of AI and drive mission-critical projects.
- Clear path for fast career growth as the company expands across ASEAN
- Opportunity to shape and lead a growing AI team
- Regional product exposure and cross-border collaboration
BJAK is Southeast Asia’s largest digital insurance platform, enabling millions of users to access transparent and affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, faster, and fairer.
If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — we’d love to hear from you.
Seniority level
- Seniority level Mid-Senior level
- Employment type Full-time
- Job function Engineering and Information Technology
- Industries Software Development
Referrals increase your chances of interviewing at BJAK by 2x
Get notified about new Artificial Intelligence Engineer jobs in Petaling Jaya, Selangor, Malaysia .
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#J-18808-LjbffrLead AI Engineer
Posted 5 days ago
Job Viewed
Job Description
Lead AI Engineer
role at
BJAK 1 week ago Be among the first 25 applicants Join to apply for the
Lead AI Engineer
role at
BJAK Get AI-powered advice on this job and more exclusive features. Shape AI That Powers the Future of Financial Access Across Southeast Asia
At BJAK, we’re using AI to solve real, high-impact problems - from fraud detection and risk modeling to smart, personalized user experiences that make insurance and financial services more inclusive and accessible. As a Lead AI Engineer, you’ll play a critical role in building and scaling intelligent systems that serve millions across the region.
This is a hybrid role based in Malaysia, combining deep technical expertise with team leadership. You’ll report directly to the Head of AI, work hands-on as a senior individual contributor, and help grow a lean, high-performance AI team by mentoring, coaching, and hiring.
Why This Role Matters
You’ll build and deploy core AI systems that impact real users across Southeast Asia. You’ll act as the right hand to the Head of AI, influencing roadmap, execution, and technical standards. You’ll help shape and grow a world-class AI team through mentorship and hiring. You’ll raise the bar on technical quality, delivery speed, and scalable architecture.
What You’ll Do
Design, train, and deploy production-grade ML models for business-critical use cases. Collaborate closely with product, data, and engineering teams to define and execute AI solutions. Lead technical decision-making on model design, deployment pipelines, and infrastructure. Own the full model lifecycle - from data prep and training to evaluation, monitoring, and retraining. Guide junior AI engineers through code reviews, project planning, and mentorship Drive the hiring process: screen candidates, evaluate technical fit, and onboard top talent. Champion best practices in experimentation, model development, and production of AI Stay ahead of the curve - evaluate new tools, frameworks, and advancements in AI.
You’ll Thrive Here If You.
Are both a builder and a leader - you roll up your sleeves and raise the bar for others. Care deeply about real-world impact - you think beyond accuracy to user outcomes. Take ownership and bring structure to ambiguity with action, not over-analysis Enjoy developing others - helping junior teammates grow is part of your success Thrive in a high-speed, high-trust startup culture where priorities shift and execution matters Embrace learning, feedback, and iteration as integral components of your engineering process. Communicate clearly - you can align cross-functional teams on complex AI systems.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field 4–6 years of experience in AI/ML engineering, with models deployed in production Strong Python skills and deep experience with ML frameworks (e.g., PyTorch, TensorFlow, Scikit-learn) Solid understanding of ML lifecycles - from data pipelines and feature engineering to tuning, deployment, and monitoring Real-world experience building AI systems in domains like recommendation, NLP, or risk modeling Experience mentoring junior engineers and collaborating cross-functionally Strong written and verbal communication skills Based in Malaysia and open to hybrid work from our Petaling Jaya HQ
Nice to Have
Familiarity with MLOps tooling (MLflow, Airflow, Docker, GCP/AWS) Experience in responsible AI practices - fairness, explainability, and transparency Startup background or experience in fast-moving product teams Built internal AI tools, reusable components, or ML platforms
What You’ll Get
Competitive salary and performance-based bonuses Hybrid flexibility - a mix of remote work and in-office collaboration at HQ High ownership and direct impact - report to the Head of AI and drive mission-critical projects. Clear path for fast career growth as the company expands across ASEAN Opportunity to shape and lead a growing AI team Regional product exposure and cross-border collaboration
About BJAK
BJAK
is Southeast Asia’s largest digital insurance platform, enabling millions of users to access transparent and affordable financial protection. Headquartered in Malaysia, with operations in Thailand, Taiwan, and Japan, we simplify financial products using AI, automation, and smart systems, making them accessible, faster, and fairer.
If you’re ready to build, lead, and scale AI systems that truly matter — and want to grow with a company that moves fast and thinks big — we’d love to hear from you.
Seniority level
Seniority level Mid-Senior level Employment type
Employment type Full-time Job function
Job function Engineering and Information Technology Industries Software Development Referrals increase your chances of interviewing at BJAK by 2x Get notified about new Artificial Intelligence Engineer jobs in
Petaling Jaya, Selangor, Malaysia . Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR4,000.00-MYR5,000.00 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Petaling Jaya, Selangor, Malaysia 5 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 week ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 hour ago Petaling Jaya, Selangor, Malaysia 5 hours ago Petaling Jaya, Selangor, Malaysia MYR5,000.00-MYR7,000.00 5 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 hours ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 4 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 7 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Petaling Jaya, Selangor, Malaysia 1 day ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 1 month ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 3 months ago Petaling Jaya, Selangor, Malaysia 2 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia MYR4,500.00-MYR8,000.00 3 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 months ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia 5 days ago Petaling Jaya, Selangor, Malaysia MYR5,000.00-MYR7,000.00 5 days ago Petaling Jaya, Selangor, Malaysia 5 hours ago Petaling Jaya, Selangor, Malaysia 4 days ago Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 2 weeks ago Petaling Jaya, Selangor, Malaysia 1 month ago Petaling Jaya, Selangor, Malaysia 9 months ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
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AI Adoption Lead - Services Knowledge Management
Posted 2 days ago
Job Viewed
Job Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub .
Description and RequirementsKey Responsibilities
- Translate complex, AI-driven initiatives into clear, actionable communication for internal stakeholders, including contact centers, technicians, and business teams.
- Drive user adoption of new AI tools by clearly articulating the scope, timing, and benefits of upcoming changes.
- Facilitate weekly stakeholder update sessions to share progress, gather feedback, and align on key decisions.
- Partner with Knowledge Management & Enablement team members to understand project details, user needs, and upcoming feature launches.
- Create concise and engaging content to support awareness, onboarding, and process change communications.
- Use data and analytics to monitor adoption, assess impact, and continuously improve user engagement and business outcomes.
Required Qualifications
- Bachelor’s degree or equivalent experience.
- 2+ years of experience in a services support role within a technology company.
- Excellent verbal and written communication skills, with an emphasis on clarity and simplicity.
- Strong ability to manage multiple projects and deadlines independently.
- Fluent in English and comfortable working with global, cross-functional teams.
Preferred Qualifications
- Experience in change management, user enablement, or communications for AI or digital transformation projects.
- Familiarity with contact center operations and related technologies.
- Demonstrated ability to collaborate with project managers, subject matter experts, end users, and vendors.
- Analytical mindset with the ability to use data to influence decisions and measure success.
About You
You are detail-oriented, creative, and passionate about helping others succeed. You enjoy simplifying complexity and creating order in fast-moving environments. You’re a natural communicator, a team player, and passionate about improving the service experience through innovation and enablement.
If you require an accommodation to complete this application, please
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About the latest Ai team lead Jobs in Malaysia !
AI Adoption Lead - Services Knowledge Management
Posted 2 days ago
Job Viewed
Job Description
Get AI-powered advice on this job and more exclusive features.
Direct message the job poster from Lenovo
Powering the Future: Hiring Tech Leaders Across Asia Pacific!Key Responsibilities
* Translate complex, AI-driven initiatives into clear, actionable communication for internal stakeholders, including contact centers, technicians, and business teams.
* Drive user adoption of new AI tools by clearly articulating the scope, timing, and benefits of upcoming changes.
* Facilitate weekly stakeholder update sessions to share progress, gather feedback, and align on key decisions.
* Partner with Knowledge Management & Enablement team members to understand project details, user needs, and upcoming feature launches.
* Create concise and engaging content to support awareness, onboarding, and process change communications.
* Use data and analytics to monitor adoption, assess impact, and continuously improve user engagement and business outcomes.
Required Qualifications
* Bachelor’s degree or equivalent experience.
* 2+ years of experience in a services support role within a technology company.
* Excellent verbal and written communication skills, with an emphasis on clarity and simplicity.
* Strong ability to manage multiple projects and deadlines independently.
* Fluent in English and comfortable working with global, cross-functional teams.
Preferred Qualifications
* Experience in change management, user enablement, or communications for AI or digital transformation projects.
* Familiarity with contact center operations and related technologies.
* Demonstrated ability to collaborate with project managers, subject matter experts, end users, and vendors.
* Analytical mindset with the ability to use data to influence decisions and measure success.
About You
You are detail-oriented, creative, and passionate about helping others succeed. You enjoy simplifying complexity and creating order in fast-moving environments. You’re a natural communicator, a team player, and passionate about improving the service experience through innovation and enablement.
Seniority level- Seniority level Associate
- Employment type Full-time
- Job function Information Technology
- Industries IT Services and IT Consulting
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#J-18808-LjbffrAI Development Architect
Posted 8 days ago
Job Viewed
Job Description
We are Lenovo. We do what we say. We own what we do. We WOW our customers.
Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit , and read about the latest news via our StoryHub .
Description and Requirements
We are seeking an experienced and innovative AI Development Architect to lead the development of Lenovo’s AI technology platform. This role is responsible for designing and delivering core AI infrastructure components, including GenAI-based model development platforms, enterprise knowledge & data platform, and intelligent agents. The ideal candidate will combine strong software engineering skills with deep expertise in GenAI technologies to drive scalable, intelligent solutions across Lenovo’s product ecosystem.
Key Responsibilities:
1. Product Development & Technical Leadership:
Lead the design and development of Lenovo’s AI technology platform, including GenAI-powered model training and inference pipelines, RAG-based knowledge systems, and intelligent agents.
Collaborate with product and other teams to integrate AI capabilities into enterprise products and services.
Evaluate and adopt leading GenAI frameworks, tools, and best practices to accelerate innovation.
2. Global Team Collaboration:
Partner with global engineering teams in Malaysia, Singapore, and other locations to drive AI infrastructure development.
Establish standards and reusable components to ensure consistency and reusability across projects.
Mentor engineers and promote cross-functional collaboration in AI solution design.
3. Customer & Business Support:
Work with solution and product teams to define and deliver customer-specific AI solutions.
Participate in technical consulting, POCs, and real-world deployment of AI applications.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related technical field.
- 8+ years of experience in enterprise software development, with at least 3 years of hands-on experience in AI/ML or GenAI platform architecture.
- Strong programming proficiency in Java and Python, with solid experience in Spring and Spring Cloud frameworks.
- Familiarity with relational databases such as PostgreSQL and MySQL.
- Hands-on experience with Docker, Kubernetes, Git, and modern CI/CD pipelines.
- Solid understanding of DevOps practices and Scrum-based agile development.
- In-depth knowledge of GenAI technologies including transformers, fine-tuning, inference, RAG (Retrieval-Augmented Generation), and agent frameworks.
- Experience with GenAI tools such as LangChain, LangGraph, or similar open-source frameworks.
- Demonstrated success in delivering real-world GenAI applications such as AI assistants, copilots, content generation tools, or knowledge bots.
- Familiarity with LLM serving, vector databases, and open-source model integration is a strong plus.
- Excellent communication and collaboration skills; fluent in English and experienced working in global, cross-functional teams.
If you require an accommodation to complete this application, please
#J-18808-LjbffrAI Development Architect
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