Principal Solution Architect
7-12+ Months contract
Fort Worth, TX (In-person interview)
As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for American Airlines agentic AI platform. Day-to-day responsibilities include: 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.
Top 3 Mandatory Skills and Experience:
1) 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).
2) 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.
3) 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.
Nice to Have Skills:
Experience with Kubernetes/container orchestration, cloud platforms (AWS/Azure/Google Cloud Platform), MLOps/LLMOps tooling, vector databases (Pinecone, Weaviate, pgvector), knowledge graphs, airline/travel domain experience, TOGAF or similar architecture certification, experience with multi-agent system design patterns and agent evaluation/benchmarking frameworks.
NOTE:
- These candidates need to be experts in engineering, architecture.
- Project: AI Engineering team - take care of running agents for different domains. Focused on building agents - for commercial: for customers, messages, etc.
- D2D: design, understand business requirements, develop the multi- or single agents.
- not just APIs, semantic script, work with agents
- agents: develop workflow to automate, framework - needs to know which to use, which tools to access depending on the requirements needed
- what they're looking for:
- exp with frameworks like LangGraph**, LangChain, or something similar
- knows to evaluate an agent not just build it
- design the governance: they need to know context of the agent, how it fits the architecture
- Can speak about the fundamentals - difference of tools and how they use it.
- Not a data engineer/data scientist or engineer with just java/python exp.
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