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
Key Responsibilities
Technical Skills Required
Benefits & Perks
Nice to Have
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
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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
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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
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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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