Senior AI Platform Architect (Agentic AI & LLM Systems)

Infosys Pontoon • Fort Worth, TX

6h • Hybrid

About The Position

As a Sr Eng 2 Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for Client’ agentic AI platform. The AI Platforms Capabilities team builds and operates the Agentic System Layer (ASL), which is Client’ core platform for deploying agentic AI systems. The team operates in an agile environment with a focus on rapid iteration, production reliability, and close collaboration between architects, engineers, and ML engineers. The resource will be embedded directly into the ASL squad, working alongside full-time engineers and architects on platform development, feature delivery, and production support. They will participate in sprint ceremonies, code reviews, and architecture discussions.

Requirements

• 10 years software architecture experience with at least 3 years designing AI/ML platform systems.
• 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).
• 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.
• Experience with prompt engineering, tool-use patterns, RAG pipelines, and agent reliability/observability.

Nice To Haves

• 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.
• Experience with agent evaluation/benchmarking frameworks.

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.
• Participating in sprint ceremonies, code reviews, and architecture discussions.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed