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Lead AI Engineer will design and deploy advanced AI and agentic LLM systems, lead and mentor an AI/data engineering team, build MLOps pipelines and cloud deployments, produce client proposals and technical thought leadership, and drive model lifecycle, evaluation, and responsible-AI practices.

Design, develop, and deploy AI/ML solutions on Microsoft Azure; collaborate with regional and Singapore teams; deliver production-grade LLM/agentic or MLOps systems; implement CI/CD, containerization, IaC and monitoring; build client relationships and continuously upskill.

This role involves developing AI literacy and capabilities in the education sector, designing enablement programs, and maintaining learning resources. Responsibilities include supporting adoption efforts, managing partnerships, and tracking program effectiveness.

The Director of Data will lead a team of data engineers, manage the P&L of the Data practice, and ensure effective collaboration across teams to drive data solutions.

Design, build, deploy and govern AI solutions (LLMs, agentic systems, MLOps). Collaborate with clients and partners, deliver end-to-end AI projects, and continuously upskill in AI engineering and deployment best practices.

Lead business analysis: elicit and document requirements, create functional designs and user stories, assess technical feasibility, run SIT/UAT, conduct training, support go-live and post-production verification to ensure solutions meet business and non-functional needs.

The Senior DevOps Engineer will automate processes, maintain CI/CD tools, ensure compliance, and support developers in issue resolution while following Agile methodologies.

As a Senior AI Engineer, you will utilize AI engineering and delivery expertise to drive transformative projects for clients while building relationships and expanding your knowledge.

The AI Engineer will solve complex problems using AI engineering expertise, maintain client relationships, and continuously improve skills in AI and data.

The Lead AI Engineer will solve complex AI challenges, mentor a team, and develop client relationships while delivering technical thought leadership.