Senior Agentic AI Lead/ Architect
Location: NJ/NY/Philly/Connecticut/Boston area to be able to travel to the NJ client site.
Duration: Long term Project
Role Summary:
The Senior Agentic AI Lead/ Architect will design, build and deploy agentic capabilities in the client’s environment. The role will work closely with client stakeholders’ business, IT as well as internal stakeholders like product owner and data-science teams, data engineers, UX developers and testers to convert approved business requirements into production-ready agents and workflows. Ability to manage multiple client stakeholders, manage expectations will be key for this role.
Key Responsibilities
· Develop domain agents, the Reasoning Composer and supporting agent workflows using Python and Python agent capabilities.
· Integrate agents with governed Snowflake data, business functions, APIs, knowledge sources and approved model outputs.
· Build agent tools, structured response schemas, workflow routing, approval steps and exception-handling logic.
· Configure prompts, guardrails, citations and role-based access for agent interactions.
· Implement MLFlow tracing and evaluation to monitor agent responses, tool usage, latency, errors and quality.
· Develop unit, integration and regression tests for agent workflows.
· Package and deploy agents and AWS applications through approved CI/CD processes.
· Support system integration testing, UAT, production releases and post-release issue resolution.
Key Deliverables
· Agent design specifications and build cards
· Production-ready Python agent packages
· Agent tools and integration adapters
· Prompt and configuration files
· MLFlow traces and agent evaluation results
· Automated test suites
· Deployment packages and operational runbooks
Required Experience
· 8-12 years of experience
· Proven experience in managing multiple client stakeholders
· Working in an onshore offshore model and guiding offshore development teams
· Knowledge Pharma commercial domain, data and processes (e.g. Sales Force Sizing, Territory Alignment, IC etc.)
· Strong Python development experience
· Hands on AWS experience will be preferred
· Hands-on experience with Python, MLFlow and agentic AI frameworks
· Experience integrating LLM applications with APIs, databases and enterprise services
· Knowledge of structured outputs, prompt engineering, RAG, guardrails and agent evaluation
· Experience with Git, CI/CD, automated testing and production support
