AI Solution Architect

Job Title: Solution Delivery Lead - AI Solution Architect

Location: Remote/Detroit, MI

Duration: Long term

Responsibilities:

• Lead delivery using Agile + DevOps: Own the end‑to‑end engineering lifecycle—planning, development, testing, release, and support—using Agile/Scrum and DevOps best practices
• Build and modernize across full-stack and cloud-native platforms: Quickly ramp up on existing systems and contribute across diverse technology stacks, including Azure (IaaS/PaaS), cloud-native services, and modern application layers—React/Angular, backend services (Python/Node.js/Java), and integrated data stores and APIs
• Partner with architecture and product to shape solutions: Collaborate with architects and product leaders to evaluate emerging technologies and translate them into scalable solution designs
• Design and deliver enterprise AI solutions: Architect and implement AI/GenAI solutions that solve complex business problems—leading POCs, pilots, and production deployments
• Stay current and build responsibly: Track evolving GenAI/Agentic AI patterns and industry trends. Ensure solutions reflect enterprise expectations for responsible AI, including safety, privacy, fairness, explainability, and seamless integration with existing organizational systems

Required Skills:

• Bachelor’s degree
• Minimum 10+ years’ experience
• Experience with Microsoft agent ecosystem concepts (single-agent and multi-agent patterns, orchestration, tool integration, observability, governance)
• Familiarity with enterprise agent platform components (control plane, guardrails, RBAC, audit logging, model routing) consistent with internal platform thinking.
• Exposure to internal AI governance guidance and responsible agent development best practices