
Enable job alerts via email!
Generate a tailored resume in minutes
Land an interview and earn more. Learn more
A global tech firm in Singapore is seeking an experienced leader to manage AI solution delivery. You will lead a team of engineers, oversee project implementation, and ensure that solutions meet enterprise standards. Ideal candidates will have significant experience in AI/ML and proven team management skills. This role is on-site and offers opportunities for career growth.
Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can continue to grow, belong, and thrive.
Your career here is about believing in yourself and seizing new opportunities and challenges. It’s about expanding your skills and expertise in your current role and preparing yourself for future advancements. That’s why we encourage you to take every opportunity to further your career within our great global team.
Lead, mentor, and grow a team of 15–20 AI engineers and specialists across multiple AI disciplines.
Define and implement capability development plans (skills roadmap, certifications, training) to keep the team aligned with emerging AI technologies.
Foster a culture of engineering excellence, collaboration, and continuous improvement.
Oversee end-to-end implementation of AI solutions (design, build, test, deploy, and support).
Ensure solutions are scalable, reliable, and compliant with enterprise standards.
Manage day-to-day project execution, ensuring delivery timelines, SLAs, and quality metrics are consistently met.
Provide hands‑on technical guidance where needed (architecture reviews, debugging issues, solution optimization).
Establish and run AI operations frameworks for monitoring, retraining, fine‑tuning, and maintaining AI systems in production.
Implement operational dashboards and reporting mechanisms to track model performance, uptime, and drift.
Ensure adherence to AI governance, data privacy, and ethical AI standards.
Drive incident management and continuous improvements for production AI systems.
Manage resource allocation, workload distribution, and day‑to‑day operations of the AI delivery team.
Standardize delivery processes and playbooks to ensure repeatability and consistency.
Collaborate with solution architects, cloud teams, and data engineering teams to ensure smooth integration of AI solutions.
Act as the escalation point for technical and operational issues within delivery.
12+ years in IT services/consulting with at least 3–5 years in AI/ML solution delivery leadership.
Proven experience managing delivery teams of 10–20+ engineers.
Hands‑on understanding of AI/ML tech stack, including:
GenAI & LLMs (LangChain, RAG, orchestration frameworks, vector databases).
MLOps/LLMOps/AgentOps practices (CI/CD pipelines, model monitoring, retraining).
Cloud AI services (AWS, Azure, GCP).
Strong track record of running day‑to‑day operations, governance, and delivery management.
Excellent problem‑solving, communication, and team management skills.
Experience in productionizing AI solutions at scale.
Exposure to agentic AI use cases (AI agents for automation, workflows, etc.).
Certifications in cloud AI/ML platforms.
Practical experience with AI governance frameworks.
Workplace type:
On‑site Working
Equal Opportunity Employer