AI Solutions Architect

AI production deployment means connecting models, data, workflows, security requirements, and business goals into one coherent solution. Lead technical discovery, architect secure and maintainable systems, and guide delivery engineers through implementation. Balance what is technologically possible with practical operating realities.

• Lead discovery with engineering, IT, data, security, and business teams.
• Assess infrastructure, integrations, and data availability.
• Architect AI applications, agents, and intelligent workflows.
• Define model, retrieval, security, orchestration, and deployment approaches.
• Build proofs of concept to test critical assumptions.
• Document decisions, risks, dependencies, and requirements.
• Support implementation and production readiness.
• Advise on scalability, governance, and operational sustainability.

• Background in software or solutions architecture, technical consulting, or enterprise engineering.
• Deep cloud, API, identity, networking, and distributed-systems knowledge.
• Hands-on LLM, retrieval, and AI integration experience.
• Ability to design securely within existing enterprise environments.
• Clear technical documentation and stakeholder communication.
• Sound build-versus-buy judgment.
• Ability to explain trade-offs to engineers and executives.

You’ll thrive here if: You can see how complex systems should fit together—and explain how to get there.