GenAI Platform & Agentic AI Technical Lead

Role : GenAI Platform & Agentic AI Technical LeadLocation : Atlanta, GA (Hybrid)Exp : 10+Role OverviewWe are seeking a senior GenAI Platform & Agentic AI Technical Lead (10+ years) who can design, reason about, and operationalize agentic AI systems at enterprise scale. This role requires strong hands-on depth and the ability to clearly articulate architectural trade-offs, platform components, and operational requirements for running agentic systems safely in production.This is not an order-taker role. The ideal candidate demonstrates clear technical reasoning, awareness of modern agentic AI patterns, and the ability to explain why specific platform components (orchestration, gateways, evals) are required.Key Objectives- Evolve the organization from copilots to production-grade, multi-agent systems- Build a cohesive GenAI platform supporting agents, tools, memory, and evaluations- Enable fast experimentation while maintaining control, observability, and reliability- Provide clear, concrete technical guidance to senior engineering and platform stakeholdersPrimary Responsibilities- Design and implement agentic AI systems using frameworks such as LangGraph (including DeepAgents concepts), Agent Skills, and MCP- Define and implement externalized agent orchestration, separating agent workflow/state management from application code- Design and integrate an AI Gateway layer to manage LLM access, tool invocation, security, cost controls, and routing- Enable agent memory, planning, tool execution, and skill reuse across multiple agents- Establish AgentOps practices, including agent evaluation, regression testing, and runtime monitoring- Implement LLM/agent observability using tools such as Langfuse and/or LangSmith- Partner with platform, security, and data teams to ensure agentic systems can run safely and reliably in productionRequired Skills & Experience- Proven experience building GenAI or agentic AI platforms in enterprise environments- Strong understanding of why and when to use an externalized agent orchestrator versus inline agent logic- Hands-on knowledge of AI Gateway responsibilities- Practical experience with LLM evaluation and observability platforms (Langfuse, LangSmith, OpenAI Evals)- Clear understanding of Agent Skills as reusable, governed capabilities- Hands-on or strong conceptual grounding in LangGraph including DeepAgents- Ability to reason clearly about what is needed to run agentic systems in productionPreferred / Nice to Have- Experience designing platforms that avoid vendor lock-in- Exposure to long-running or multi-agent workflows- Familiarity with governance or compliance for AI systemsWhy This Role MattersThis role ensures agentic AI is operable, observable, and defensible in real enterprise environments.