Job ID: JOB_ID_5229
Job Summary:
We are seeking a highly skilled and experienced Solution Delivery Lead – AI Solution Architect to join our team. This role is responsible for leading the end-to-end engineering lifecycle for AI and GenAI solutions, from planning and development to release and support, utilizing Agile and DevOps best practices. You will build and modernize across full-stack and cloud-native platforms, collaborating with architecture and product teams to shape innovative solutions. A key aspect of this role involves designing and delivering enterprise AI solutions, including leading Proofs of Concept (POCs), pilots, and production deployments. You will also stay current with evolving GenAI/Agentic AI patterns and industry trends, ensuring solutions adhere to enterprise expectations for responsible AI, including safety, privacy, fairness, explainability, and seamless integration with existing organizational systems.
Key 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 like 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 and Qualifications:
- Bachelor’s degree in a relevant field.
- Minimum of 8+ years of professional experience.
- Experience with Microsoft agent ecosystem concepts, including single-agent and multi-agent patterns, orchestration, tool integration, observability, and governance.
- Familiarity with enterprise agent platform components such as control plane, guardrails, RBAC, audit logging, and model routing, consistent with internal platform thinking.
- Exposure to internal AI governance guidance and responsible agent development best practices.
Keywords:
artificial intelligence, javascript, information technology, Michigan, remote.
Compensation & Location
Salary: $70 – $90 per year (Estimated)
Location: Remote, MI
Recruiter / Company – Contact Information
Email: usjobs@nvoids.com
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