Agentic AI Platform Architect

PTR Global; Irving (TX); On-site; USD 180,000 - 240,000; Full time

Job summary

American Airlines seeks a senior software architect to lead the agentic AI platform, defining architecture for multi-agent orchestration, LLM integration, and reliable, observable production systems. You will collaborate with ML and software engineers to ensure scalable, secure, and maintainable components.

The role emphasizes production-grade AI systems, prompt engineering influences, and governance through ADRs, with an emphasis on reliability and observability at airline scale.

Qualifications

• 10 years software architecture experience with at least 3 years designing AI/ML platform systems.
• Hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel.
• Strong API design skills (REST/gRPC) and proficiency in Python, plus one of Java/Go/TypeScript.

Responsibilities

• Define and drive the architecture for an agentic AI platform at scale.
• Design multi-agent orchestration systems, tool-use frameworks, and LLM integration pipelines.
• Lead design reviews and produce architecture decision records (ADRs).

Skills

AI/ML architecture

LLM orchestration

Python

Distributed systems

API design REST/gRPC

Tools

LangChain

LangGraph

Semantic Kernel

Pinecone

Job description

• 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.

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.

Job Description

• 10 Years of Experience as an 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

• 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.

Nice to Have Skills

• Experience with Kubernetes/container orchestration cloud platforms AWS/Azure/GCP MLOps/LLMOps tooling vector databases
• Pinecone Weaviate pgvector knowledge graphs
• TOGAF or similar architecture certification experience with multi‑agent system design patterns and agent evaluation/benchmarking frameworks. What Makes a Great Candidate?: 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.