Full-Time AI-Agent Development Project Manager

• Lead a hands‑on AI engineering team initially; expand leadership to multi‑disciplinary groups across infrastructure, data, integration, and full‑stack application development.
• Translate business objectives into roadmaps and increment plans; manage scope, dependencies, risk/issue logs, and cross‑team alignment.
• Partner with Solution Architecture to shape designs for agent frameworks, tool‑use, retrieval, workfl ow orchestration, guardrails, and evaluation harnesses.
• Create transparent reporting for executives and clients; steward escalations to resolution.

• 12–16 years of professional experience delivering software solutions with increasing scope; 5+ years leading multi‑team programs or consulting delivery.
• Hands‑on background building AI agents or LLM‑enabled applications.
• Hands-on experience coordinating cross-functional teams.
• Profi ciency in Agile/Lean delivery, roadmapping, dependency management, and executive communication.
• Background in software development (e.g., Python/TypeScript) and ability to engage deeply on agent/LLM technical decisions.
• Ability to engage deeply with engineers on design/implementation decisions while managing risks, timelines, and budgets.
• Bachelor’s degree in Computer Science, Engineering, or related fi eld, or equivalent practical experience.

• Experience with regulated or high-compliance environments.
• Demonstrated delivery of AI agent/RAG solutions.
• Track record scaling agent platforms.
• Pre-sales experience: discovery, estimation, solution shaping, and SOW/contracting.
• Certifications or advanced study in AI/ML, MLOps, or cloud (Azure/AWS/GCP).

• Agent Frameworks & Orchestration: OpenAI Assistants / Realtime APIs, Azure OpenAI, Anthropic, LangChain, LlamaIndex, DSPy, Semantic Kernel, function/tool calling, MCP design patterns.
• Programming & Data: Python, TypeScript/JavaScript; data processing with Pandas/PySpark; embeddings and vector search; SQL/NoSQL.
• Model Ops & Serving: vLLM, TGI, Ollama; Triton/KServe; LoRA/adapters; prompt/version control; cost and latency optimization.
• Observability & Telemetry: Langfuse, Arize/Phoenix, OpenTelemetry for LLMs; traces, metrics, logs; prompt/model analytics and feedback loops.
• Security & Governance: secrets management, key isolation, content fi ltering, policy engines (OPA), PII/PHI handling, RBAC/ABAC, audit trails.
• Dev & Delivery Tooling: GitHub (Projects, Actions), GitHub Copilot (Chat/Agents), Jira/Azure Boards, Confluence/Notion, feature flags.
• Cloud & Platforms: Kubernetes (AKS/EKS/GKE/K3s), Helm, Terraform/Pulumi; serverless runtimes; message buses/queues; caching layers.

• Excellent project-level communication skills, structured thinking, and strong stakeholder management.
• Bias for measurable outcomes; uses data to drive decisions and tradeoff s.
• Coaching mindset; grows leaders and builds psychologically safe, high-ownership teams.
• Adaptability and resilience in fast-moving, ambiguous environments.

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