GenAI Platform & Agentic AI Technical Lead

Location : Atlanta GA (Hybrid)

Exp : 10

Role Overview

We 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 stakeholders

Primary 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 production

Required 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 production

Preferred / 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 systems

Why This Role Matters

This role ensures agentic AI is operable observable and defensible in real enterprise environments.