Lead Data and AI Solution Engineer

Great Eastern; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Great Eastern is seeking a seasoned GenAI Operations Lead to drive deployments and optimize Agentic AI services. You will oversee end-to-end GenAI pipelines across platforms, implement automation, and ensure scalable, compliant operations.

This role requires 5+ years in Data & AI engineering or operations, strong programming skills (Python, SQL) plus cloud experience, and the ability to coordinate across stakeholders to deliver high-performance, cost-efficient solutions.

Qualifications

• Bachelor's degree in AI, Data Science, Computer Science, Engineering, or a related field.
• 5+ years of experience in Data & AI Engineering or Operations, with a focus on deploying and managing data pipelines and ML deployments.
• Hands-on exposure to operationalization of GenAI and Agentic AI implementations.
• Strong communication and ability to work with non-technical stakeholders.

Responsibilities

• Lead deployments for GenAI and Agentic AI pipelines across platforms.
• Optimize GenAI Ops processes and resource allocation.
• Track and report GenAI Ops incidents and coordinate resolutions with related parties.
• Develop automation scripts to reduce manual work in GenAI deployments.
• Develop data collection and analytics methods for GenAI Ops performance metrics.
• Explore new GenAI Ops capabilities to increase automation coverage.
• Design workflows to strengthen governance and compliance for GenAI Ops.
• Drive Ops Excellence projects to improve capabilities and metrics.
• Coordinate with GenAI Ops stakeholders to ensure seamless operations.

Skills

Python

SQL

Big Data

LangChain

LangGraph

agentcore

MCP

DevOps

Agile

Cloud (AWS/GCP/Azure)

Machine Learning Pipelines

Education

Bachelor's degree in AI/Data Science/CS/Engineering

Master's degree preferred

Tools

LangChain

LangGraph

agentcore

MCP

Job description

To lead and optimize GenAI & Agentic AI Operations by driving efficient deployments, automation, and governance across platforms. The role ensures seamless issue resolution, performance monitoring, cost optimization and stakeholder coordination to enable scalable, compliant, cost-effective and high-performing GenAI & Agentic AI services.

• Lead deployments for GenAI pipelines and Agentic AI pipelines in various Data & AI platforms
• Lead optimization and streamlining of GenAI & Agentic AI Ops processes and resource allocation
• Lead GenAI & Agentic AI Ops issue/incident tracking and reporting, coordinate concerted issue/incident resolution with related parties
• Develop automation scripts and methods to reduce manual effort in GenAI & Agentic AI deployments
• Develop data collection and analytics methods for mining and reporting of GenAI & Agentic AI Ops performance metrics and insights
• Explore and implement new GenAI & Agentic AI Ops capabilities and tools to increase automation coverage and deployment velocity
• Design and implement workflows and controls to strengthen governance and compliance for GenAI & Agentic AI Ops
• Drive Operations Excellence projects and initiatives to continually improve GenAI & Agentic AI Ops capabilities and key metrics
• Coordinate with GenAI & Agentic AI Ops stakeholders to ensure seamless operations and communications

• Bachelor's degree in AI, Data Science, Computer Science, Engineering, or a related field (Master's degree preferred)
• 5+ years of experience in Data & AI Engineering or Operations, with a focus on deploying and managing data engineering and machine learning pipelines
• Hands-on exposure to operationalization of GenAI and Agentic AI implementation
• Broad expertise across Data & AI pillars, including AI/ML, Data Engineering, and Analytics
• Proficiency in programming languages such as Python, Java, Scala, or R, and strong command of SQL and Big Data querying tools
• Hands-on experience with GenAI/Agentic AI frameworks and libraries (e.g., LangChain, LangGraph, agentcore, MCP)
• Familiarity with machine learning/AI frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn)
• Familiarity and relevant certifications on cloud platforms (AWS, GCP, or Azure) is a plus
• Strong understanding of SDLC, DevOps best practices, and Agile methodologies
• Proven ability to design and implement automation for deployment and monitoring of GenAI and Agentic AI workflows
• Experience in developing operational dashboards and performance analytics for Data & AI platforms
• Prior experience in financial services or insurance industry is highly advantageous
• Excellent communication skills with the ability to explain complex technical concepts to non-technical stakeholders
• Strong problem-solving skills, a proactive mindset, and a continuous improvement orientation
• High level of integrity, accountability, and a collaborative team spirit
• Fast in learning new technology, open mindset and adaptable to changes, and takes initiative to drive operational excellence