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

Lead Data and AI Solution Engineer