<p>Solution Delivery Lead - AI Solution Architect</p> <p>Responsibilities:</p> <ul> <li>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 </li><li>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 </li><li>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 </li><li>Design and deliver enterprise AI solutions: Architect and implement AI/GenAI solutions that solve complex business problems-leading POCs, pilots, and production deployments </li><li>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 </li></ul> <p>Required Skills:</p> <ul> <li>Bachelor's degree in Computer Science, Engineering, or a related field (Master's degree preferred) </li><li>Minimum 8+ years experience </li><li>Experience with Microsoft agent ecosystem concepts (single-agent and multi-agent patterns, orchestration, tool integration, observability, governance) </li><li>Familiarity with enterprise agent platform components (control plane, guardrails, RBAC, audit logging, model routing) consistent with internal platform thinking </li><li>Exposure to internal AI governance guidance and responsible agent development best practices </li></ul>