Note: The job is a remote job and is open to candidates in USA. Trio Workforce Solutions builds autonomous AI systems that execute operational workflows in healthcare workforce management. The Lead AI Engineer will drive the architecture, technical direction, and engineering standards for AI-powered products, including agentic workflows, retrieval-augmented generation, orchestration, evaluation, observability, and product AI infrastructure. The role is a hands-on technical leadership position with a path toward formal team management.
Responsibilities
- Own the architecture of the Digital Worker platform and the AI capabilities embedded in Trio's products
- Establish design principles, engineering patterns, and architectural standards for AI systems
- Lead technical design reviews and make the tradeoff calls on quality, latency, cost, and operational complexity
- Evaluate emerging AI technologies and determine what is worth adopting
- 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 hardest technical problems on the team, hands-on
- Own the standards for how we measure AI quality: accuracy, groundedness, safety, latency, and business impact
- Build and extend evaluation frameworks that catch regressions and hallucinations before clients do
- Drive measurable improvement in system quality through experimentation and production learning
- Define monitoring, tracing, and logging standards for AI systems in production
- Establish reliability and performance objectives; serve as senior escalation for critical AI production issues
- Improve production readiness and AI lifecycle management as the platform scales
- Mentor the AI Engineering team and grow their architectural judgment and engineering depth
- Lead code and design reviews; set and enforce engineering standards
- Partner with Product, Platform, Data, Security, and executive stakeholders
- Translate business objectives into technical strategy, and technical tradeoffs into business terms
Skills
- Required: 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, not prototypes or demos
- 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; comfort in a polyglot environment
- 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 both technical and executive audiences
- Qualified candidates must be able to perform the essential functions of the position, with or without reasonable accommodation
- Remaining in a stationary position for approximately 50% of the workday
- Learning and applying new tasks and procedures
- Maintaining attention and completing work independently
- Making timely workflow-related decisions
- Meeting productivity and/or time-based performance expectations
- Qualified candidates must possess the physical and mental abilities necessary to perform the job's essential functions, with or without reasonable accommodation
- Preferred: Master's degree in Computer Science, AI, Machine Learning, or a related technical discipline
- Prior experience leading or managing a team
- Azure cloud, Azure OpenAI, and event-driven infrastructure
- Vector databases, semantic search, embeddings, and enterprise knowledge systems
- Building agent orchestration platforms or autonomous workflow systems at scale
- AI governance, security, compliance, or responsible AI practices
- .NET/C#, React/TypeScript, SQL Server, CosmosDB, Auth0, Azure DevOps, Datadog
- SaaS, workforce technology, healthcare, or high-growth technology organizations
Benefits
- This role is fully remote.
- Candidates within a reasonable commuting distance of our Frisco, TX or Edmond, OK offices are welcome to work from either location.
Company Overview