Senior AI Solutions Architect

Harnham United State
Relocation
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AI Summary

Design and deploy production-scale, multi-agent AI systems integrated into enterprise workflows. Build real systems, not research or proof-of-concepts. Collaborate with cross-functional teams to deliver high-impact AI initiatives.

Key Highlights
Design and build multi-agent AI systems
Deploy production-grade AI solutions
Collaborate with cross-functional teams
Key Responsibilities
Design and build multi-agent AI systems
Deploy production-grade AI solutions
Integrate AI into systems
Architect end-to-end solutions
Collaborate with cross-functional teams
Technical Skills Required
Multi-agent systems Orchestration frameworks LLMs Cloud platforms API development System integration
Benefits & Perks
$165K–$220K base + potential sign-on
Relocation support available for strong candidates
Nice to Have
Experience building reusable AI platforms or frameworks
Exposure to AI governance, security, or compliance

Job Description


Title:

Senior AI Solutions Architect – Agentic AI (Enterprise / Production)


Overview

We are hiring a Senior AI Solutions Architect to design and deploy production-scale, multi-agent AI systems integrated into enterprise workflows.


This is a hands-on role focused on building real systems — not research or proof-of-concepts.

You’ll work on high-impact initiatives across operations, IT, and business functions, delivering AI-driven automation at scale.


What You’ll Do

  • Design and build multi-agent AI systems for enterprise use cases
  • Deploy production-grade AI solutions using LLMs and orchestration frameworks
  • Integrate AI into systems like ERP, CRM, and internal platforms
  • Architect end-to-end solutions across cloud, APIs, and data layers
  • Collaborate with cross-functional teams to deliver high-impact AI initiatives
  • Contribute to best practices around AI architecture, scalability, and governance


What We’re Looking For

  • Experience building and deploying AI systems in production environments
  • Hands-on experience with:
  • Multi-agent systems or orchestration frameworks (LangChain, AutoGen, etc.)
  • LLM-based applications
  • Strong background in:
  • Cloud platforms (Azure, AWS, or GCP)
  • API development and system integration
  • Ability to move between architecture and hands-on implementation
  • Experience working in complex, enterprise environments


Nice to Have

  • Experience building reusable AI platforms or frameworks
  • Exposure to AI governance, security, or compliance
  • Experience leading technical initiatives or mentoring teams


What This Role Is NOT

  • Not a research role
  • Not limited to proof-of-concepts
  • Not purely architecture without hands-on work


Location & Compensation

  • Location: Dallas or Houston (relocation support available for strong candidates)
  • Compensation: $165K–$220K base + potential sign-on
  • Employment Type: Open to full-time or contract-to-hire


Final Note


We are specifically looking for candidates who have deployed AI systems into real-world production environments and can speak in detail about scale, performance, and impact.


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