Sr AI Engineering Lead

We are seeking an experienced Sr AI Engineering Lead to drive the strategy, architecture, and delivery of enterprise-scale AI, Data, and Analytics solutions. The ideal candidate will possess deep expertise in Generative AI, cloud-native application development, and enterprise architecture, along with strong leadership capabilities. This role will be responsible for designing innovative AI-powered solutions using Azure OpenAI and modern AI frameworks while leading engineering teams to deliver scalable, secure, and business-focused digital transformation initiatives.

• Role:
  Sr AI Engineering Lead
• Location:
  Bellevue, WA
• Experience:
  Between 12 to 15 Years
• Job Type: Full Time Employment

• Lead the architecture, design, and implementation of enterprise AI solutions utilizing Azure OpenAI, Retrieval-Augmented Generation (RAG), Semantic Kernel, Embeddings, Prompt Engineering, and Agentic AI frameworks.
• Drive end-to-end delivery of enterprise AI transformation programs, including AI Copilots, AI Agents, and intelligent automation solutions.
• Design and develop cloud-native applications using .NET/C#, RESTful APIs, microservices, and Azure-first architecture patterns.
• Collaborate with business leaders, product owners, architects, and engineering teams to define technology roadmaps and implementation strategies.
• Translate complex business requirements into scalable, secure, and sustainable enterprise solutions.
• Architect and implement enterprise-grade Generative AI solutions that improve business processes and user experiences.
• Lead AI strategy discussions and recommend innovative technologies to support organizational objectives.
• Oversee Azure Dev Ops pipelines, CI/CD processes, deployment automation, release management, and application lifecycle management.
• Drive best practices for software engineering, AI engineering, architecture governance, and cloud adoption.
• Conduct architecture reviews, technical design sessions, solution assessments, and code reviews.
• Ensure solution reliability, scalability, performance optimization, security, and compliance across platforms.
• Establish AI governance frameworks, Responsible AI practices, and enterprise security standards.
• Mentor technical teams and foster a culture of innovation, collaboration, and engineering excellence.
• Support production operations, incident management, root cause analysis, and continuous improvement initiatives.
• Partner with executive leadership and stakeholders to drive measurable business outcomes through AI programs.

• 12 to 15 years of experience in software engineering, cloud architecture, AI engineering, and enterprise solution delivery.
• Strong hands-on experience with Azure OpenAI, Generative AI, Large Language Models (LLMs), RAG architectures, Semantic Kernel, Prompt Engineering, Embeddings, and Agentic AI frameworks.
• Proven expertise in designing and delivering enterprise-scale AI transformation initiatives and AI-powered business solutions.
• Extensive experience developing cloud-native applications using .NET/C#, REST APIs, and microservices architectures.
• Strong understanding of Microsoft Azure services and modern cloud architecture patterns.
• Experience delivering enterprise Copilot implementations and AI Agent-based solutions.
• Strong expertise in Azure Dev Ops, CI/CD pipelines, deployment automation, release management, and production support.
• Experience creating scalable architecture roadmaps and technology transformation strategies.
• Strong understanding of enterprise integration, API design, security controls, and cloud-native development practices.
• Excellent stakeholder management skills with the ability to communicate effectively with business executives and technical teams.
• Experience leading architecture governance, engineering standards, solution reviews, and technical mentorship programs.
• Strong knowledge of performance optimization, reliability engineering, scalability, data governance, and operational excellence.
• Understanding of Responsible AI principles, AI governance frameworks, data privacy regulations, compliance requirements, and enterprise security standards.
• Experience with Azure Bicep, Infrastructure as Code (IaC), Power Shell, and cloud automation technologies.
• Proven leadership experience managing high-performing engineering teams and cross-functional initiatives.
• Strong analytical, problem-solving, and strategic planning skills.
• Microsoft Azure certifications in AI, Solution Architecture, or related cloud technologies are highly…