Job description

Position: Sr. Agentic AI Platform Architect Location: Fort Worth, Texas (Hybrid) Job ID: 180323 Job Description: Responsibilities: • As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, candidates will define and drive the technical architecture for clients’ 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 plus 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. Describe a great candidate that you are looking for and what skills and experience they will have: • 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. Additional Details: • Candidate must have 10 plus years of experience. • Candidate must work onsite Tuesdays - Thursday, virtually Mondays and Fridays. • This assignment is ending on 12/31/2027 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. 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 appliable state or localities where you reside or work. #LI-SM11

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Position: Sr. Agentic AI Platform Architect
Location: Fort Worth, Texas (Hybrid)
Job ID: 180323
As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, candidates will define and drive the technical architecture for clients’ agentic AI platform.
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.
10 plus 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.
Describe a great candidate that you are looking for and what skills and experience they will have:
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.
Candidate must have 10 plus years of experience.
Candidate must work onsite Tuesdays - Thursday, virtually Mondays and Fridays.
This assignment is ending on 12/31/2027

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aillmmlapirestpythonjavagotypescriptkubernetesawsazuregcp

Platform: bullhorn
Effort: medium

Benefits

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Dental

Vision

401k

Pto