AI Solutions Architect

Responsibilities:
Lead delivery using Agile + DevOps: Own the endtoend 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 8+ 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