Hiring || AI Architect || DFW, TX

[Rajnee Verma]

Hi

 

Hope you are doing well!

 

 

My name is Rajnee Verma, I am currently hiring for the below position and found your profile to be relevant. Based on your experience and skill set, I believe you may be a suitable candidate for this opportunity. If you are interested, please reply with your updated resume or feel free to call me to discuss the opportunity in more detail.

 

 

 

 

Job Title: AI Architect

Location: DFW, TX

Job Type: Contract

 

 

 

Job Description:

 

As Sr Eng 2 Architect on the Agentic System Layer (ASL) team, you will define and drive the technical architecture for Client’s  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.

 

 

Thanks and Regards

Rajnee Verma

Sr. Technical Recruiter