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Sr. AI Engineer

Job in Orlando, Orange County, Florida, 32885, USA
Listing for: Lumen Resources
Full Time position
Listed on 2026-02-18
Job specializations:
  • IT/Tech
    AI Engineer, Systems Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below

We’re hiring a Sr. 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 resource 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
  • Build and integrate AI capabilities into modern application solutions where it adds clear value
  • Provide technical direction 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
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