Lead AI Engineer
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Job Description
Lead AI Engineer architecting Digital Workers and LLM infrastructure for Trio WFS healthcare workforce-management clients. Driving production AI quality, orchestration, retrieval, and observability.
Responsibilities:
- Own the architecture of the Digital Worker platform and AI capabilities embedded in Trio's products
- Establish design principles, engineering patterns, and architectural standards for AI systems
- Lead technical design reviews and make tradeoff decisions involving quality, latency, cost, and operational complexity
- Evaluate emerging AI technologies for adoption
- Design and build production systems using LLMs, retrieval architectures, agentic workflows, and tool use
- Build reusable frameworks for agent orchestration, tool integration, workflow execution, and memory
- Solve the team's hardest technical problems hands-on
- Own standards for measuring AI quality, including accuracy, groundedness, safety, latency, and business impact
- Build and extend evaluation frameworks to catch regressions and hallucinations
- Define monitoring, tracing, and logging standards for production AI systems
- Establish reliability and performance objectives and serve as senior escalation for critical AI production issues
- Mentor the AI Engineering team and lead code and design reviews
- Partner with Product, Platform, Data, Security, and executive stakeholders
- Translate business objectives into technical strategy and technical tradeoffs into business terms
- Extend the Digital Worker framework to new workflows
- Improve AI quality, observability, reliability, cost efficiency, and delivery speed across production systems
Requirements:
- Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience
- 7+ years in software engineering, data engineering, or a closely related technical field
- 2+ years building and operating production LLM-powered systems
- Demonstrated depth in agentic systems, RAG architectures, or AI orchestration frameworks
- Solid understanding of machine learning fundamentals
- Strong distributed systems and software architecture fundamentals
- Professional proficiency in Python
- Track record of evaluating AI system quality quantitatively and acting on the results
- Experience mentoring engineers on technical and architectural decisions
- Excellent written and verbal communication with technical and executive audiences
- Ability to perform essential functions with or without reasonable accommodation
Benefits:
- Fully remote work arrangement
- Option to work from the Frisco, TX or Edmond, OK offices
- Coaching and mentoring toward future people-management leadership
- Reasonable accommodation for applicants with disabilities
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