Senior Agentic AI Engineer

Description

4 Days in the office from any of our locations in Johnston RI,Iselin NJ, Westwood or Medford MA, or Phoenix AZ and couple other locations

Role is not relocation eligible.

Senior AI Software Engineer (Agentic AI / AI Agents)

About the Role

We are seeking a hands-on, results-driven Senior AI Software Engineer to build and scale Agentic AI capabilities-AI systems that can plan, act, and complete tasks through tool use and workflow orchestration-across enterprise platforms. This role is pivotal in delivering secure, reliable, and compliant AI Agents that integrate into customer and colleague journeys, accelerate time-to-market, and improve operational efficiency.

You will operate at the intersection of software engineering and applied AI, owning end-to-end delivery-from architecture and implementation to deployment, observability, and operational excellence.

Key Responsibilities

Build and Operate AI Agents (Agentic AI Engineering)

* Design and implement AI Agent architectures (planner/executor patterns, multi-step reasoning flows, tool-use orchestration) to execute business tasks end-to-end.

* Build tooling and integrations for agents (APIs, internal services, data tools, workflow engines), including secure action execution, approvals, and guardrails.

* Engineer agent behaviors for reliability: deterministic fallbacks, bounded autonomy, retries, idempotency, and safe failure modes for partial completion.

Agent Platforms, Reuse, and Scale

* Develop reusable agent frameworks and components: shared tool registry, prompt/tool contracts, agent memory strategies, policy enforcement, and standardized observability.

* Enable teams to embed agents into multiple products/channels via SDKs, reference implementations, and well-defined APIs, reducing duplication and improving consistency.

* Implement evaluation pipelines for agents: task success rate, tool-call accuracy, groundedness, latency/cost, and regression testing across agent versions.

* Build production-grade RAG pipelines and grounding mechanisms to ensure agent outputs are traceable and based on authoritative enterprise knowledge sources.

* Implement agent memory patterns (session memory, long-term memory, semantic caches) with strong privacy and retention controls.
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