Agentic AI Architect
Posted: 06/23/2026
Job Number: K1o3c0hpbGZaWU5JZ3J0TzdZc1Nwdz09
Pay Rate: 75-80 Hourly USD
Job Description
Job Title: Agentic AI Architect (Sr. Eng 2 Architect)
Location: Fort Worth, TX (Hybrid)
Interview Process: In-person client interview required if shortlisted. Job Description
We are seeking an experienced Agentic AI Architect to define and drive the technical architecture for the Agentic System Layer (ASL) of a next-generation Agentic AI platform. The ideal candidate will have 10+ years of software architecture experience with deep expertise in AI/ML platforms, LLM orchestration, distributed systems, and production-scale Agentic AI applications.
Key Responsibilities
Experience building and deploying production-scale Agentic AI or LLM-powered applications, including:
Python • Java • Go • TypeScript • LangChain • LangGraph • Semantic Kernel • CrewAI • AutoGen • Kubernetes • AWS • Azure • GCP • Pinecone • Weaviate • pgvector • REST • gRPC
Location: Fort Worth, TX (Hybrid)
Interview Process: In-person client interview required if shortlisted. Job Description
We are seeking an experienced Agentic AI Architect to define and drive the technical architecture for the Agentic System Layer (ASL) of a next-generation Agentic AI platform. The ideal candidate will have 10+ years of software architecture experience with deep expertise in AI/ML platforms, LLM orchestration, distributed systems, and production-scale Agentic AI applications.
Key Responsibilities
- Design and evolve the architecture for multi-agent orchestration systems.
- Develop scalable tool-use frameworks and LLM integration pipelines.
- Establish architecture patterns for:
- Agent Reliability
- Observability
- Security Guardrails
- Production Scalability
- Lead technical design reviews and maintain Architecture Decision Records (ADRs).
- Collaborate with ML Engineers and Software Engineers to build scalable, secure, and maintainable AI platform components.
- Evaluate and integrate emerging Agentic AI frameworks, including:
- LangGraph
- CrewAI
- Semantic Kernel
- AutoGen
- Define API contracts, data flow patterns, and enterprise integration standards.
- Mentor engineering teams on best practices for building production-grade AI systems.
- 10+ years of Software Engineering/Architecture experience.
- Minimum 3 years designing AI/ML platform architectures.
- Strong experience building enterprise-scale AI solutions.
- 10+ years of Software Architecture experience.
- 3+ years designing AI/ML platform systems.
- Hands-on experience with LLM orchestration frameworks such as:
- LangChain
- LangGraph
- Semantic Kernel
- Similar frameworks
- Deep expertise in:
- Distributed Systems
- Microservices Architecture
- Event-Driven Architecture
- REST APIs
- gRPC
- Strong programming skills in:
- Python (Mandatory)
- Java, Go, or TypeScript
Experience building and deploying production-scale Agentic AI or LLM-powered applications, including:
- Prompt Engineering
- Tool Calling / Tool Use
- Retrieval-Augmented Generation (RAG)
- Agent Reliability
- Agent Observability
- Kubernetes & Container Orchestration
- Cloud Platforms (AWS, Azure, GCP)
- MLOps / LLMOps
- Vector Databases (Pinecone, Weaviate, pgvector)
- Knowledge Graphs
- Multi-Agent System Design Patterns
- Agent Evaluation & Benchmarking Frameworks
- Airline or Travel Domain experience
- TOGAF (or equivalent Architecture Certification)
Python • Java • Go • TypeScript • LangChain • LangGraph • Semantic Kernel • CrewAI • AutoGen • Kubernetes • AWS • Azure • GCP • Pinecone • Weaviate • pgvector • REST • gRPC
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