Principal Solution Architect

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/GCP) 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 theyre 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.

Required Skills:

Artificial IntelligenceMachine LearningLLMLANGPYTHONMicroservices