Overview
We are seeking an experienced AI / GenAI Architect / Sr. Lead to drive the design, implementation, and delivery of enterprise-scale Generative AI and Agentic AI solutions. This role will lead end-to-end architecture, collaborate with business and technical stakeholders, and provide technical leadership to offshore teams while ensuring successful production adoption.
Key Responsibilities
Assess business processes, systems, and data landscapes to identify high-impact GenAI opportunities.
Design and own end-to-end AI solution architecture, including LLM selection, agent design, RAG frameworks, integrations, security, governance, and evaluation methodologies.
Lead hands-on implementation efforts and establish engineering and prompt-engineering best practices.
Collaborate with business, IT, security, and engineering teams to align objectives and manage delivery risks.
Drive successful deployment, adoption, and measurement of business outcomes through AI solutions.
Required Skills
Strong experience architecting and implementing Agentic AI systems using LLMs, LangGraph, MCP, and RAG.
Expertise in Python, data ingestion/retrieval, vector databases, and AI application development.
Hands-on experience with Azure AI Foundry, Azure AI Services, or similar AI platforms.
Deep understanding of observability, governance, reliability, workflow orchestration, and context/memory engineering.
Healthcare industry experience.
Additional Details
Candidate will work closely with offshore teams, providing technical guidance, reviewing deliverables, and taking ownership of overall project success.
Background verification clearance is required before onboarding.
Ideal Candidate: A hands-on AI leader who combines strategic architecture expertise with practical implementation skills and a proven track record delivering enterprise GenAI solutions.
Years of Experience: 16.00 Years of Experience
