AI Engineer

As an AI Engineer, you'll help build, deploy, and operate AI-enabled services that are secure, reliable, and ready for production use. This role is hands-on and execution-focused, blending platform and DevOps fundamentals with AI engineering practices.

Requirements

• Design, build, and operate task-oriented agents (planner/executor, tool routing, HITL checkpoints, fallbacks, circuit breakers) with clear interfaces and SLOs.
• Design, develop, and productionize retrieval/grounding pipelines (RAG, structured APIs, metadata/knowledge graphs), including chunking, summarization, embeddings lifecycle, and relevance tuning.
• Collaborate with AgentOps to define and implement per-use-case eval suites (functional, behavioral, safety, latency, cost); automate offline/online evals and wire eval gates into CI/CD pipelines.
• Identify and implement PII redaction, policy-as-code checks, guardrails, and compliant audit trails across agents and context pipelines.
• Determine and optimize context size, caching, rerankers, model selection, and tool routing to reduce cost per successful task.
• Prepare and maintain schemas/data contracts, batch/stream ETL for context stores, embedding jobs, and freshness SLAs (with Data Platform).
• Work with teams to integrate runtime frameworks (e.g., LangGraph/AgentCore, Bedrock Agents/Guardrails) and enterprise systems.
• Maintain agent cards, runbooks, and playbooks; contribute templates and internal libraries for repeatable delivery within the Southwest Airlines AI community.
• Mentor junior AI engineers.

Benefits

• Generous Paid Time Off
• 401k Matching
• Retirement Plan
• Relocation Assistance