AI Architect & Tech Lead | Generative AI & Route Optimization

Qualifications

• 🇺🇸 Requirement: U.

S.

Citizenship Required

• Backend & Cloud: .NET Core, React.js (Expertise in Python/FastAPI is a major plus)

• Geospatial: Google Maps API, Leaflet.js

• Experience: 10+ years in Software Engineering and AI/ML architecture

• AI Mastery: Deep hands-on experience with LLMs (specifically Claude/GPT) and Agentic AI patterns

• Lead by Example: Proven track record of driving technical delivery and managing engineering teams

• System Designer: Expert in distributed systems, microservices, and spec-driven development

• Citizen Status: Must be a U.

S.

Citizen

• 5 more items(s)

Benefits

• Compensation: $70 - $75/hr

Responsibilities

• As the Technical North Star for this project, you will define the blueprints for scalable, high-performance GenAI systems

• You will lead a cross-functional squad of elite engineers to transform high-level AI concepts into production-ready reality

• Patterns: Agentic AI, RAG, Vector Databases, Prompt Engineering

• Infrastructure: Microservices, Docker, CI/CD, AWS

• Architect & Innovate: Define the end-to-end system architecture (LLMs, RAG pipelines, APIs, and Data layers)

• Lead the Squad: Mentor AI/ML engineers, drive technical planning, and enforce "best-in-class" engineering standards

• Engineer Excellence: Implement agentic AI frameworks and optimize RAG pipelines for hallucination detection and high reliability

• Strategize: Collaborate with product and design stakeholders to ensure technical blueprints align with business objectives

• 5 more items(s)

More job highlights

Job description

Hiring: AI Architect & Tech Lead | Generative AI & Route Optimization

Location: Austin, TX (On-site/Hybrid)

Compensation: $70 - $75/hr

🇺🇸 Requirement: U.

S.

Citizenship Required

Are you ready to architect the future of intelligent logistics?

Our Client is seeking a visionary Tech Lead / AI Architect to own the end-to-end design and delivery of enterprise-grade Generative AI solutions.

We are...n't just building chatbots; we are engineering complex, multi-agent systems and RAG pipelines to revolutionize route optimization.

The Mission

As the Technical North Star for this project, you will define the blueprints for scalable, high-performance GenAI systems.

You will lead a cross-functional squad of elite engineers to transform high-level AI concepts into production-ready reality.

The Tech Stack

• AI / GenAI: Claude API, MCP, CrewAI, LLMs (Claude, GPT, Open Source)

• Patterns: Agentic AI, RAG, Vector Databases, Prompt Engineering

• Backend & Cloud: .

NET Core, React.js (Expertise in Python/FastAPI is a major plus)

• Geospatial: Google Maps API, Leaflet.js

• Infrastructure: Microservices, Docker, CI/CD, AWS

What You’ll Do

• Architect & Innovate: Define the end-to-end system architecture (LLMs, RAG pipelines, APIs, and Data layers).

• Lead the Squad: Mentor AI/ML engineers, drive technical planning, and enforce "best-in-class" engineering standards.

• Engineer Excellence: Implement agentic AI frameworks and optimize RAG pipelines for hallucination detection and high reliability.

• Strategize: Collaborate with product and design stakeholders to ensure technical blueprints align with business objectives.

Who You Are

• Experience: 10+ years in Software Engineering and AI/ML architecture.

• AI Mastery: Deep hands-on experience with LLMs (specifically Claude/GPT) and Agentic AI patterns.

• Lead by Example: Proven track record of driving technical delivery and managing engineering teams.

• System Designer: Expert in distributed systems, microservices, and spec-driven development.

• Citizen Status: Must be a U.

S.

Citizen.

How to Apply

If you are an AI pioneer living in (or willing to relocate to) Austin, TX, let’s talk.

👉 Apply Now: Send your resume to Tahir-Hussain@onlyhire.me👉 Connect: Drop a comment below or DM me directly to discuss this role.

#AI #GenerativeAI #TechLead #AIArchitect #AustinJobs #GenAI #LLM #RouteOptimization #Hiring #USCitizen #PrimeHireRecruiting

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