We’re hiring a Principal AI Engineer to serve as the first AI-focused engineering SME within a growing enterprise technology organization. This role is ideal for someone who blends full-stack engineering depth with practical AI experience and enjoys shaping strategy while still delivering hands-on solutions.
You’ll partner closely with engineering, architecture, product, and business leaders to identify high-impact use cases, modernize delivery patterns with AI-driven accelerators, and drive responsible, scalable adoption of intelligent systems across the organization.
What you'll do
Act as the primary technical lead for AI adoption, helping define standards, patterns, and best practices
Identify and recommend AI/ML solutions (genAI, embeddings, model APIs, conversational experiences, intelligent automation)
Partner with architecture to align AI tools with enterprise guidelines, security, governance, and performance needs
Champion responsible AI practices and scalable model lifecycle approaches
Lead full-stack engineering workstreams across UI, APIs, microservices, middleware, and data pipelines
Build and integrate AI capabilities into modern application solutions where it adds clear value
Provide technical leadership and guide end-to-end solution design, ensuring stability and reusability
Influence SDLC delivery approaches and integrate AI accelerators into workflows
Review and approve solution designs for alignment with business outcomes, architectural principles, SLAs, and quality benchmarks
Requirements:
Strong full-stack engineering experience 8+ years (front-end + backend + APIs)
Experience building modern applications using cloud-native patterns (microservices, middleware, CI/CD, automation)
Hands-on exposure to AI implementation (LLM APIs, embeddings, RAG patterns, agent workflows, intelligent automation)
Comfort leading technical direction and influencing architecture decisions
Strong communication skills and ability to guide technical and non-technical stakeholders
Bonus if you have:
Experience delivering enterprise-level platforms or internal developer tools
Experience with model governance, responsible AI practices, or scalable AI patterns
Experience introducing AI accelerators or automation into SDLC / engineering operations
Why This Role
Be the first AI engineering leader and shape the foundation for enterprise AI adoption
Blend strategy + hands-on delivery without losing your technical depth
Work on meaningful, high-visibility initiatives that influence how the organization builds and delivers software