Senior Agentic AI Platform Architect

About the role

Position: Sr. Agentic AI Platform Architect located in Fort Worth, Texas (Hybrid). Job ID: 180323. The assignment ends on 12/31/2027. Candidate must work onsite Tuesdays–Thursdays, virtually Mondays and Fridays.

A great candidate is a seasoned architect who has shipped production agentic AI systems - not just prototypes. They can whiteboard a multi-agent orchestration system, debate tradeoffs between different LLM routing strategies, and then jump into code to prove out a design. They understand that agentic systems at airline scale need bulletproof reliability, graceful degradation, and real observability. They have opinions backed by experience, they push back on bad ideas constructively, and they make the engineers around them better.

Responsibilities

• Designing and evolving the architecture for multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines
• Establishing patterns for agent reliability, observability, and guardrails at production scale
• Leading technical design reviews and producing architecture decision records (ADRs)
• Collaborating with ML engineers and software engineers to ensure platform components are scalable, secure, and maintainable
• Evaluating and integrating emerging agentic AI frameworks (e.g., LangGraph, CrewAI, Semantic Kernel, AutoGen)
• Defining API contracts, data flow patterns, and integration standards across the AI platform ecosystem
• Mentoring engineers on best practices for building production-grade AI systems

Requirements

• 10+ years software architecture experience with at least 3 years designing AI/ML platform systems, including hands‑on experience with LLM orchestration frameworks (LangChain, LangGraph, Semantic Kernel, or similar)
• Deep expertise in distributed systems design, microservices architecture, event‑driven patterns, and API design (REST/gRPC), with strong proficiency in Python and at least one of Java/Go/TypeScript
• Production experience building and deploying agentic AI systems or LLM‑powered applications at scale, including prompt engineering, tool‑use patterns, RAG pipelines, and agent reliability/observability

Skills

• Experience with Kubernetes/container orchestration
• Experience with cloud platforms (AWS/Azure/GCP)
• Experience with MLOps/LLMOps tooling
• Experience with vector databases (Pinecone, Weaviate, pgvector)
• Experience with knowledge graphs
• Airline/travel domain experience
• TOGAF or similar architecture certification
• Experience with multi‑agent system design patterns and agent evaluation/benchmarking frameworks

Benefits

Our full‑time consultants have access to benefits including medical, dental, vision and 401K contributions as well as any other PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

Pay

Pay Range: $70 - $75/Hr. The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment.

Schedule

Candidate must work onsite Tuesdays‑Thursday, virtually Mondays and Fridays.