AI Solutions Architect (Enterprise AI)

TL;DR

AI Solutions Architect (Enterprise AI): Designing end-to-end AI solutions for enterprise clients with an accent on agents, custom inference, and data integration layers. Focus on translating business requirements into technical architectures and leading proof-of-concept engagements.

Location: Hybrid (US)

Company

AI-native engineering firm specializing in enterprise services, domain-specific solutions, and high-performance infrastructure.

What you will do

• Lead solution architecture for enterprise AI engagements.
• Translate business requirements into reference architectures and technical roadmaps.
• Execute technical discovery and proof-of-concept (PoC) engagements with client teams.
• Partner with delivery teams to ensure architectural fidelity through implementation.
• Contribute to the development of reusable reference architectures and patterns.

Requirements

• 5+ years in solutions architecture, technical consulting, or senior engineering with client-facing scope.
• Deep working knowledge of modern AI architectures, including agents, RAG, custom inference, and fine-tuning.
• Strong cloud architecture skills across at least one major provider (AWS, GCP, or Azure).
• Demonstrated ability to lead technical conversations with executives and engineers.
• Must be based in the United States

Nice to have

• MS or PhD in Computer Science or a related field.
• Prior architect role at a major cloud provider, AI lab, or top-tier consultancy.
• Federal experience with FedRAMP, IL4/5, or ATO processes.

Culture & Benefits

• Comprehensive insurance package including Medical, Dental, and Vision.
• 401(k) with generous company match and Profit Sharing.
• Paid Time Off (PTO) and supportive management team.
• Professional development, skill-building opportunities, and free AI productivity tools.