What are the responsibilities and job description for the Principal AI Engineer position at Lumen Resources?
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