Description
Key Accountabilities
- Design and delivery of AI‑enabled application components and agent workflows
- Reliability, performance, and operational supportability of deployed solutions
- Adherence to enterprise engineering standards, security controls, and data governance requirements
Principal Responsibilities
- Design, build, and test multi‑step agent workflows using established patterns such as ReAct, planner‑executor, and tool‑chaining
- Integrate LLMs (i.e. Claude and OpenAI) with enterprise APIs and internal systems, including robust handling of retries, edge cases, and degraded states
- Implement tool calling, function orchestration, and compensating actions to ensure workflows remain stable under failure conditions
- Design and implement human‑in‑the‑loop controls, including approvals, escalations, and exception handling where required by business logic or ris...