MA Preferred | Occasional NJ Travel)

OMG Technology•Jersey City, NJ

1d•Remote

About The Position

The Senior Agentic AI Lead / Architect will design, build, and deploy agentic capabilities in a pharmaceutical services client’s environment. The role partners with client business and IT stakeholders and internal product, data science, data engineering, UX, and testing teams to convert approved business requirements into production-ready agents and workflows. Managing multiple client stakeholders and expectations is an important aspect of the role. This is a remote contract opportunity. Candidates in New Jersey, New York, Philadelphia, Connecticut, or the Boston area are preferred because occasional travel to the client site in New Jersey may be required. The engagement is expected to last at least six months, with a high possibility of extension.

Requirements

12+ years of experience.
Proven experience managing multiple client stakeholders.
Experience working in an onshore-offshore model and guiding offshore development teams.
Knowledge of the pharmaceutical commercial domain, data, and processes, such as sales force sizing, territory alignment, and IC.
Strong Python development experience.
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.

Nice To Haves

Hands-on AWS experience.
Candidates located in New Jersey, New York, Philadelphia, Connecticut, or the Boston area are preferred.

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.
Manage multiple client stakeholders and expectations.
Guide offshore development teams in an onshore-offshore delivery model.