Solutions Architect

Solution Delivery Lead - AI Solution Architect

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

• Bachelors degree in Computer Science, Engineering, or a related field (Masters degree preferred).
• 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.