Head of Artificial Intelligence

We're Hiring: Senior Agentic AI Platform Architect

Job Title: Senior Agentic AI Platform Architect

Location: Fort Worth, TX 76155

Work Model: Hybrid – 3 Days Onsite (Tuesday–Thursday)

Employment Type: Long-Term Contract (C2C)

Contract Duration: 12+ Months (Assignment through December 31, 2027)

Pay Rate: $70–$75/hour (C2C)

Experience Required: 10+ Years

Industry: Airline / Aviation / Technology

Job Overview

We are seeking a highly experienced Senior Agentic AI Platform Architect to design, develop, and lead the technical architecture of enterprise-scale Agentic AI platforms.

The ideal candidate will have extensive experience in software architecture, distributed systems, LLM orchestration, multi-agent frameworks, and production-grade AI/ML platforms.

This is a hands-on architecture leadership role requiring expertise in designing scalable, secure, reliable, and high-performance AI systems.

Key Responsibilities

• Define and drive the technical architecture for enterprise Agentic AI platforms and multi-agent orchestration systems.
• Design and implement LLM integration pipelines, tool-use frameworks, and intelligent agent workflows.
• Establish architectural standards for agent reliability, observability, security, and guardrails.
• Lead technical design reviews and develop Architecture Decision Records (ADRs).
• Design scalable distributed systems using microservices, event-driven architecture, and REST/gRPC APIs.
• Evaluate and integrate Agentic AI frameworks such as LangGraph, LangChain, CrewAI, Semantic Kernel, and AutoGen.
• Collaborate with ML engineers, software developers, and platform teams to build production-ready AI solutions.
• Define API contracts, integration standards, and data flow architectures.
• Optimize AI systems for performance, scalability, fault tolerance, and graceful degradation.
• Mentor engineering teams and provide technical guidance on AI architecture best practices.

Required Skills & Qualifications

• 10+ years of experience in software engineering and architecture, including at least 3 years designing AI/ML platforms.
• Proven experience designing, building, and deploying production-grade Agentic AI systems or LLM-powered applications.
• Strong hands-on experience with LLM orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, or AutoGen.
• Deep understanding of distributed systems, microservices architecture, and event-driven design patterns.
• Advanced proficiency in Python, along with at least one additional programming language: Java, Go, or TypeScript.
• Strong experience with REST APIs, gRPC, API integrations, and system design.
• Practical experience implementing Retrieval-Augmented Generation (RAG), prompt engineering, AI tool calling, and multi-agent workflows.
• Experience establishing agent monitoring, observability, evaluation, and reliability mechanisms.
• Ability to translate complex business requirements into scalable technical architectures.
• Strong technical leadership, problem-solving, and communication skills.

Preferred / Nice-to-Have Skills

• Cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
• Kubernetes, Docker, and container orchestration.
• MLOps / LLMOps tools and deployment pipelines.
• Vector databases such as Pinecone, Weaviate, or pgvector.
• Knowledge graphs and advanced retrieval architectures.
• Multi-agent system design patterns and agent evaluation frameworks.
• Experience working in the airline, aviation, or travel industry.
• TOGAF or equivalent architecture certification.

Ideal Candidate Profile

We are looking for a seasoned technical architect who has successfully delivered Agentic AI solutions in production environments, beyond proof-of-concept implementations.

The ideal candidate should be able to architect complex multi-agent systems, evaluate LLM routing strategies, implement hands-on solutions, and ensure enterprise-level reliability and scalability.

Strong architectural decision-making, technical leadership, and the ability to guide engineering teams are essential.

Work Arrangement

• Tuesday–Thursday: Onsite in Fort Worth, TX
• Monday & Friday: Remote
• Candidates must be comfortable working in a hybrid environment.

How to Apply

Interested candidates are encouraged to share their updated resume, along with the following details:

• Total Years of Experience:
• Relevant Experience in Agentic AI / LLM Architecture:
• Current Location:
• Work Authorization:
• Expected C2C Hourly Rate:
• Availability to Start:
• Comfortable with Hybrid Work in Fort Worth, TX (Yes/No):

Apply now or share this opportunity with qualified professionals in your network.

#Hiring #AgenticAI #AIArchitect #LLM #LangChain #LangGraph #GenerativeAI #Python #MachineLearning #AIJobs #FortWorthJobs #TexasJobs #C2CJobs #ContractJobs #TechHiring