228 AI Project Manager jobs in Singapore

As a key member of the AI Services Division , the AI Infrastructure Project Manager will oversee the design and deployment of AI infrastructure projects.

This role is responsible for managing cross-functional teams and collaborating with external partners to ensure project delivery within defined cost, schedule, and quality parameters .

The ideal candidate will possess deep technical understanding of AI computing platforms—particularly the NVIDIA GPU ecosystem —combined with strong project management expertise.

• Lead the pre-sales solution design process for AI servers and related hardware systems.
• Oversee Proof of Concept (POC) testing, performance optimization, and solution validation to ensure alignment with customers’ business and technical objectives.

Manage end-to-end AI infrastructure deployment projects, ensuring seamless execution through:

• Leading teams to perform design reviews and site surveys .
• Overseeing point-to-point cabling plan development and validation.
• Developing comprehensive project plans , including timelines, resource allocation, and risk mitigation strategies.
• Conducting project kick-off meetings and coordinating with stakeholders across multiple levels.
• Managing project budgets, schedules, risks, and issues to ensure successful delivery.
• Driving clear communication across all project tiers—internal teams, customers, and partners.
• Ensuring timely and quality project deliverables that meet agreed specifications.

• Diagnose and resolve technical issues within AI infrastructure environments.
• Implement corrective actions through hardware replacement , software upgrades , or appropriate workarounds .
• Escalate issues to vendors or partners when advanced support is required.

• Bachelor’s degree or higher in Computer Science, Electronics, Communications, Information Engineering , or a related discipline.
• Minimum 5 years of experience in IT systems integration or infrastructure project management .
• Strong familiarity with server hardware architectures (CPU/GPU, memory, storage, and networking).
• In-depth understanding of computing platforms such as NVIDIA, Intel, and AMD .
• Hands-on experience managing or contributing to large-scale NVIDIA AI infrastructure deployments , including any of B200, GB200, or GB300 .
• Excellent leadership, problem-solving, and stakeholder management skills.
• Strong teamwork orientation, adaptability, and customer-focused mindset.
• Proficiency in English, with the ability to read technical documents and conduct professional communications.
• Project management certification such as PMP , PRINCE2 , or an equivalent is required.

Location:Singapore, SG

Job Function: Investment Insights Group

Job Type: Permanent

Req ID: 16702

GIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world's industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore's financial future, and the communities we invest in worldwide.

Investment Insights Group

We use advanced quantitative techniques and cutting-edge technological tools to generate insights that drive outstanding investment outcomes for GIC.

What impact can you make in this role?

As an AI Project Manager within the Investment Insights Group, you will spearhead transformative AI initiatives, driving projects from concept to deployment with precision and impact. In this role, you will act as a critical link between strategic business goals and technical execution, harnessing cutting-edge AI technologies to deliver innovation and measurable value.

What will you do as an AI Project Manager?

Project Delivery & Management

• Guide AI projects through their lifecycle, from ideation and data feasibility assessments to deployment and post-launch optimization, ensuring alignment with business goals
• Monitor project milestones, proactively identify risks, and manage dependencies to ensure smooth execution and timely delivery
• Maintain project boards in tools like JIRA and prepare impactful presentations for stakeholder communications, ensuring transparency and alignment

Dependency Management

• Identify, document, and prioritize project dependencies across teams to avoid bottlenecks and delays
• Collaborate with cross-functional teams to resolve dependency conflicts and ensure all interrelated tasks are synchronized
• Regularly review dependency logs to adapt to evolving AI project requirements, such as new datasets to maintain alignment with overall objectives.

Vendor Engagement

• Manage AI and data vendor relationships to ensure alignment with project requirements, strategic vision, and budget constraints
• Oversee vendor selection for AI-specific needs, including due diligence and contract negotiations, in collaboration with legal and procurement teams
• Ability to align AI projects with business objectives, ensuring measurable ROI and strategic impact

Technical Acumen

• Collaborate with Data Scientists, Engineers, and Product Managers to assess the technical feasibility of use cases, including data availability and complexities
• Engage with technical teams post-launch to drive continuous improvement and optimize deployed solutions
• Continuously stay informed about advancements in AI and emerging technologies to ensure alignment with industry trends and innovation opportunities.

What makes you a successful candidate?

• Bachelor's degree in computer science, Engineering, Data Science, Business, or related field
• Certification with one or more project management methodologies (e.g., Agile Scrum Master, SAFe, PMI, and PRINCE2)
• 3 years in a project management role, preferably in the technology or finance industry with experience in managing complex projects
• Experience in managing budgets for AI tools, cloud resources, and vendor contracts
• Proven ability to work effectively and collaboratively with a diverse group of stakeholders
• Experience in change management practices and methodologies
• Ability to work independently and manage multiple priorities in a dynamic, fast-paced environment
• Passion for innovation and driving positive change through technology

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection. At the same time, we believe that flexibility allows us to do our best work and be our best selves. Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Investment Insights Group Department here:

GIC is one of the world's largest sovereign wealth funds. With over 2,000 employees across 11 locations around the world, we invest in more than 40 countries globally across asset classes and businesses. Working at GIC gives you exposure to an extraordinary network of the world's industry leaders. As a leading global long-term investor, we Work at the Point of Impact for Singapore's financial future, and the communities we invest in worldwide.

Investment Insights Group

We use advanced quantitative techniques and cutting-edge technological tools to generate insights that drive outstanding investment outcomes for GIC.

What impact can you make in this role?

As an AI Project Manager within the Investment Insights Group, you will spearhead transformative AI initiatives, driving projects from concept to deployment with precision and impact. In this role, you will act as a critical link between strategic business goals and technical execution, harnessing cutting-edge AI technologies to deliver innovation and measurable value.

What will you do as an AI Project Manager?

Project Delivery & Management

• Guide AI projects through their lifecycle, from ideation and data feasibility assessments to deployment and post-launch optimization, ensuring alignment with business goals
• Monitor project milestones, proactively identify risks, and manage dependencies to ensure smooth execution and timely delivery
• Maintain project boards in tools like JIRA and prepare impactful presentations for stakeholder communications, ensuring transparency and alignment

Dependency Management

• Identify, document, and prioritize project dependencies across teams to avoid bottlenecks and delays
• Collaborate with cross-functional teams to resolve dependency conflicts and ensure all interrelated tasks are synchronized
• Regularly review dependency logs to adapt to evolving AI project requirements, such as new datasets to maintain alignment with overall objectives.

Vendor Engagement

• Manage AI and data vendor relationships to ensure alignment with project requirements, strategic vision, and budget constraints
• Oversee vendor selection for AI-specific needs, including due diligence and contract negotiations, in collaboration with legal and procurement teams
• Ability to align AI projects with business objectives, ensuring measurable ROI and strategic impact

Technical Acumen

• Collaborate with Data Scientists, Engineers, and Product Managers to assess the technical feasibility of use cases, including data availability and complexities
• Engage with technical teams post-launch to drive continuous improvement and optimize deployed solutions
• Continuously stay informed about advancements in AI and emerging technologies to ensure alignment with industry trends and innovation opportunities.

What makes you a successful candidate?

•    Bachelor's degree in computer science, Engineering, Data Science, Business, or related field

•    Certification with one or more project management methodologies (e.g., Agile Scrum Master, SAFe, PMI, and PRINCE2)

•    3 years in a project management role, preferably in the technology or finance industry with experience in managing complex projects 

•    Experience in managing budgets for AI tools, cloud resources, and vendor contracts

•    Proven ability to work effectively and collaboratively with a diverse group of stakeholders 

•    Experience in change management practices and methodologies

•    Ability to work independently and manage multiple priorities in a dynamic, fast-paced environment 

•    Passion for innovation and driving positive change through technology

Work at the Point of Impact

We need to be forward-looking to attract the right people to help us become the Leading Global Long-term Investor. Join our ambitious, agile, and diverse teams - be empowered to push boundaries and pursue innovative ideas, share your views, and be heard. Be anchored on our PRIME Values: Prudence, Respect, Integrity, Merit and Excellence, which guides us in how we make our day-to-day decisions. We strive to inspire. To make an impact.

Flexibility at GIC 

At GIC, our offices are vibrant hubs for ideation, professional growth, and interpersonal connection.  At the same time, we believe that flexibility allows us to do our best work and be our best selves.  Thus, our teams come into the office four days per week to harness the benefits of in-person collaboration, but have the flexibility to choose which days they work from home and adjust this arrangement as situational needs arise.

We are an equal opportunity employer

GIC is an equal opportunity employer, and we value diversity. We do not discriminate based on race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

Learn more about our Investment Insights Group Department here:

*Our PRIME Values *

GIC is a values driven organization. GIC's PRIME Values act as our compass, enabling us to fulfil our fundamental purpose and objectives. It is the foundational bedrock which governs our behaviors, our decision making, and our focus. It informs both our long-term strategy as a firm, and the way we relate to our Client, business partners and employees. PRIME stands for Prudence, Respect, Integrity, Merit and Excellence.

At Atomionics, we build quantum gravimeters that are set to revolutionize the resource exploration industry. We are looking for a motivated intern with experience in time-series machine learning to contribute to the development of our high-performance sensors.

Responsibilities

• Design and implement a machine learning model to map time-series data from support sensors to our quantum gravimeter data.

• Evaluate model performance on both synthetic and experimental datasets.

• Work closely with our multidisciplinary team to validate results and address challenges such as limited data coverage or overfitting.

• Visualise the performance of the model as well as intermediate outputs.

Qualifications

• Education background physics, engineering, or data science is highly desirable.

• Hands on experience with neural networks applicable to time-series data

• Strong Python programming skills: NumPy, SciPy, pandas, visualization packages

• Proficient with ML libraries such as PyTorch/TensorFlow/Keras, etc.

• Familiar with signal processing basics: Fourier transform, windowing, filtering

• Analytical mindset

What can we offer you

• A chance to learn about the intricacies of deep tech research, product development, and strategy in a high-growth startup
• Work on the cutting edge of quantum technology
• A book allowance to help you grow and collectively build the Atomionics library
• Board games and curry night

About Us

iCOMPASS Pte. Ltd. is a Singapore-headquartered RegTech company and spin-off from a leading advisory firm. iCOMPASS develops the world's first AI-powered compliance operating system designed for financial institutions. Designed in Singapore and built for global scalability, iCOMPASS is redefining how the financial industry approaches compliance in the age of AI.

Built at the intersection of regulatory expertise and cutting-edge technology, iCOMPASS transforms compliance from a reactive obligation into a proactive governance framework. With a vision to make regulatory compliance accessible, seamless, and adaptive, iCOMPASS empowers financial institutions of all sizes to reduce cost, mitigate risk, and enhance productivity.

Roles & Responsibilities

The successful candidate will design, build, and optimize LLM-driven solutions that support regulatory compliance, risk management. This role requires a deep understanding of both machine learning/NLP systems and compliance frameworks. The following summarises the scope of work:

• Model Development & Deployment

• Develop custom pipelines integrating structured (databases, transactions) and unstructured (news, documents, chat logs) data for compliance workflows.

• Implement explainability and interpretability layers to meet regulatory expectations.

• Compliance & Risk Applications

• Build systems that detect and classify financial crime risks (PEPs, RCAs, UBOs, sanctions exposure).

• Automate compliance document processing, regulatory reporting, and policy interpretation.

• Work closely with compliance officers to translate regulatory obligations into machine-executable rules.

• Systems Integration

• Deploy LLM-powered applications into enterprise-grade financial compliance platforms.

• Ensure robustness, scalability, and security of deployed models in production environments.

• Collaborate with engineering teams to integrate APIs, knowledge graphs, and third-party datasets.

• Research & Innovation

• Stay current with LLM advancements (RAG, fine-tuning, agents) and evaluate their applicability to compliance.

• Prototype tools for proactive risk detection and regulatory change monitoring.

• Others: Assist in ad-hoc projects or initiatives as assigned by management.

Requirements:

• Bachelor's Degree in Computer Science and any other relevant disciplines
• Strong analytical skills with the ability to assess risk and regulatory impact
• Ability to work independently and as part of a team in a fast-paced environment
• Excellent communication and presentation skills

Why Join Us?

• Engage in exciting projects to enhance compliance processes through innovation.
• Collaborative and dynamic work environment with opportunities for growth.
• We believe in rewarding impact and exceptional performance may be recognized with equity participation opportunities
• If you are looking to create impact in the regulated industry through technology transformation, this job is for you

If you are passionate about cross-pollinating regulatory compliance and technology, and enjoy problem-solving in a fast-paced environment, we invite you to apply for this role

We are seeking an experienced Machine Learning / AI Engineer to drive innovative digital initiatives across global projects. In this role, you will design, build, and deploy end-to-end machine learning solutions that are scalable, reliable, and compliant with AI governance and regulatory standards.

Key Responsibilities

• Collaborate with data scientists and business teams to define and implement ML solutions.
• Develop and deploy production-grade models using MLOps best practices (CI/CD, versioning, monitoring).
• Build and maintain data and model pipelines for scalability and performance.
• Ensure compliance with responsible AI, governance, and audit requirements.
• Automate retraining, testing, and monitoring of deployed models.
  Partner with DevOps, IT, and security teams for seamless integration.

Qualifications

• Master's degree in AI, ML, or Data Science.
• 6+ years in data science and ML, including 3+ in ML engineering.
• Proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch).
• Experience with MLOps tools (MLflow, Airflow, Kubeflow, etc.) and cloud platforms (AWS, Azure, GCP).
• Knowledge of CI/CD, Docker, Kubernetes, and NoSQL databases.
• Strong understanding of AI governance, model risk, and compliance.
  Excellent communication and problem-solving skills.

Preferred: Experience with Responsible AI, bias testing, feature stores, and data privacy in regulated sectors.

For a confidential discussion, please reach out to me at

Personal data collected will be used for recruitment purposes only.

Only shortlisted candidates will be notified / contacted.

EA Registration No: R

"Sanderson-iKas" is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.

Website:

• Have Master's degree in the field of AI / ML and data science with proven ability to design and develop models

• 6+ years of experience in data science and machine learning, with at least 3+ years in ML engineering roles.

• Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

• Strong programming skills in Python (pandas, scikit-learn, TensorFlow/PyTorch, etc.).

• Strong knowledge in NoSQL databases (any experience in Graph database is desirable)

• Experience with MLOps tools: MLflow, TFX, Airflow, Kubeflow, or similar.

• Familiarity with cloud platforms (GCP, AWS, or Azure) for ML deployment.

• Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.

• Experience with CI/CD pipelines and containerization (Docker, Kubernetes).

• Strong understanding of AI governance, model risk management, and regulatory requirements in AI.

• Ability to communicate technical concepts to non-technical stakeholders.

Support Project/System implementation of Machine Learning Suite (MLS)

Ensure solution design complies with enterprise design principles, security and control standards

Convert business requirements to design document and other system documentation to capture key design decisions

Able to conduct data mapping and process mapping with interfacing applications

Create technical documents for the solutions

Conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Work with Test Management teams to complete SIT/UAT as planned

Manage project change request approval windows and deployment schedule

Facilitate and provide technical and testing support before and after production deployment

Manage external vendors for project delivery within schedule

a, Experience end-to-end projects for system implementation of Machine Learning Suite (MLS)

b. Strong in driving project deliverables, actively tracking timelines, escalating issues when needed, and ensuring accountability across teams.

c. Strong in Project Management, Financial Management, Application Management, Risk and Issue Management, Change Management and Resource Management

d. experience in application architecture, development, system integration and software design

e.Experience in Production Support Management, Incident and Problem Management

f. Knowledge in networking, firewall, data migration, password encryption, SSO integration, and disaster recovery planning and testing

Job Type: Contract

Contract length: 12 months

Benefits:

• Health insurance

Work Location: In person

a, Experience end-to-end projects for system implementation of Machine Learning Suite (MLS)

b. Strong in driving project deliverables, actively tracking timelines, escalating issues when needed, and ensuring accountability across teams.

c. Strong in Project Management, Financial Management, Application Management, Risk and Issue Management, Change Management and Resource Management

d. experience in application architecture, development, system integration and software design

e.Experience in Production Support Management, Incident and Problem Management

f. Knowledge in networking, firewall, data migration, password encryption, SSO integration, and disaster recovery planning and testing

Support Project/System implementation of Machine Learning Suite (MLS)

Ensure solution design complies with enterprise design principles, security and control standards

Convert business requirements to design document and other system documentation to capture key design decisions

Able to conduct data mapping and process mapping with interfacing applications

Create technical documents for the solutions

Conduct root cause analysis of issues, review new and existing code and/or perform unit testing

Work with Test Management teams to complete SIT/UAT as planned

Manage project change request approval windows and deployment schedule

Facilitate and provide technical and testing support before and after production deployment

Manage external vendors for project delivery within schedule

Job Type: Contract

Contract length: 12 months

Benefits:

• Health insurance

Work Location: In person