Sr AI Engineering Lead

We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem.

Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We reported $1,654.4M FY26 revenue with 17.4% Y-o-Y growth. We have delivered 24 sequential quarters of growth with $436.0M in Q4 FY26 revenue, up 3.2% Q-o-Q and 16.2% Y-o-Y growth.

Our 27,500+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries.

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…