Description

Key Responsibilities – Agent & AI System Development • Design and build AI agents capable of reasoning, planning, and executing tasks • Implement agents using multiple agentic platforms (Writer, Bedrock, UiPath, or equivalent) • Apply retrieval-augmented generation (RAG), tool invocation, and memory patterns • Define agent operating modes (assistive, workflow-driven, semi-autonomous) Key Responsibilities – Platform Integration & Orchestration • Integrate agents with enterprise systems via APIs and automation frameworks • Connect agents to structured and unstructured data sources • Build orchestration logic separating planning, execution, and validation • Design reusable, cross-platform agent patterns Key Responsibilities – Governance, Risk & Control • Implement human-in-the-loop, policy guardrails, and permission controls • Ensure agent actions are auditable, explainable, and compliant • Collaborate with security, risk, and compliance teams Evaluation & Optimization • Measure agent performance, accuracy, cost, and latency • Diagnose and mitigate agent failure modes • Continuously optimize prompts and orchestration logic Required Qualifications • 4+ years of experience in software, AI/ML, or automation engineering • Hands-on experience building LLM-powered agents or workflows • Proficiency in Python and/or TypeScript • Experience with APIs and enterprise integrations Preferred Qualifications • Experience with Writer, Amazon Bedrock, UiPath, or similar agent platforms • Experience with RAG, embeddings, or vector search • Familiarity with regulated or large-scale enterprise environments What Success Looks Like • Trusted agents delivering real business value • Platform-agnostic implementations avoiding vendor lock-in • Clear balance between autonomy and human oversight Why This Role Matters This role helps define how intelligent agents are safely operationalized in the enterprise, transforming emerging agentic capabilities into scalable, production-grade systems

Key Skills

Education

Bachelor’s degree