Lead Gen AI/Data Science Engineer

Lead AI Engineer with strong software engineering foundations and hands-on experience in Generative and Agentic AI.

• Architect and Design production-ready applications leveraging Generative AI and agentic AI frameworks.

• Build, Deploy and Monitor intelligent workflows using LLMs, multi-agent coordination, and orchestration pipelines.

• Integrate new AI applications with traditional pre-existing applications.

• Implement prompt engineering strategies, retrieval-augmented generation (RAG), and contextual memory systems.

• Implement various AI coding techniques (context-driven, spec-driven development etc.).

• Architect and implement AI agents capable of reasoning, planning, and multi-step task execution.

• Implement and utilize Model Context Protocol (MCP) patterns to enable structured communication between agents, tools, and systems.

• Provide mentoring and technical guidance to developers and other AI Engineers.

• Develop evaluation pipelines to measure accuracy, safety, and performance of AI systems.

• Optimize latency, cost efficiency, and scalability of AI-powered workflows.

• Collaborate with product managers, data teams, and software engineers to deliver AI features.

• Ensure reliability through testing, logging, monitoring, and observability of AI behavior.

• Own architectural decisions, coding standards, and best practices.

• Act as an AI trailblazer for development teams by promoting best practices, reusable patterns, and adopting AI-driven engineering approaches.

• Apply AI governance principles to ensure responsible model usage, auditability, and transparency in AI workflows.

• Support implementation of governance controls related to data handling, model behavior monitoring, and risk mitigation.

• Research emerging AI tools and frameworks to continuously improve system capabilities.

• Document AI workflows and maintain reproducible engineering processes.