Senior AI Lead Engineer Seeking a Senior AI Lead Engineer to drive the design, development, and delivery of advanced Generative AI solutions while providing leadership across Digital Innovation engineering team. This role combines hands-on engineering with leadership responsibilities to organize and guide R&D team developing innovative AI prototypes. AI Engineering & Solution Delivery Develop rapid prototypes to demonstrate business value and convert them into reusable assets Implement AI-driven approaches to enhance data access, transformation, and workflows Design, evaluate, and document Generative AI prototypes using emerging techniques in addition to model evaluation, guardrails, and responsible AI practices Technical Leadership & Architecture Define reusable architecture patterns and reference implementations Establish best practices for AI development lifecycle, CI/CD, and deployment Drive standardization and reuse of successful AI prototypes Leadership & Team Coordination Lead and coordinate innovation developers working on multiple AI innovation initiatives Mentor engineers and foster a culture of experimentation and continuous learning Organize work across the team by defining priorities, milestones, and technical direction Remove blockers and facilitate collaboration across onshore and offshore team Ensure alignment on architecture, coding standards, and best practices Balance rapid experimentation with production-grade solution development Guide Agile delivery by helping define requirements, track development & documentation, and share reusable patterns Cloud, DevOps & Infrastructure Utilize Azure PaaS services including Azure AI Foundry, Azure AI Search, Content Understanding and other cloud-native offerings. Demonstrate deep experience with Azure resources for deployment, configuration, and operations of cloud services. Execution, Agile & DevOpsPlan and track work using Azure DevOps (Epics, Features, User Stories) / GitHub IssuesEnsure predictable prototype delivery across multiple concurrent AI use cases Use Git-based workflows and CI/CD automation (Azure DevOps Pipelines, GitHub Actions).Collaboration & Stakeholder Engagement Work with Product, and business team to deliver human-centered AI prototypes/patterns Communicate technical decisions, progress, and risks to leadership Align AI prototypes with enterprise innovation strategy Promote adoption of reusable AI patterns and reference implementations through technical demonstrations, documentation, and stakeholder engagement.
Minimum Requirements:- Extensive Microsoft full-stack development experience
- Experience with Azure PaaS and AI services
- Proven leadership experience managing a technical or innovation team
- Proficiency in C# and Python (preferred)
- Experience with REST APIs, authentication, and cloud-native architecture
- Experience with Azure DevOps/GitHub and CI/CD pipelines
- Strong problem-solving and communication skills
- Preferred Experience
- Experience building Generative AI applications
- Experience designing AI-powered user interfaces
- Experience defining architecture standards and platform practices
- Experience managing multiple initiatives
- Knowledge of Azure Fabric and modern data platforms
