Lead AI Engineer
About The Position
Trio WFS builds Digital Workers, autonomous AI systems that execute real operational workflows in healthcare workforce management. The Lead AI Engineer is the senior technical authority responsible for driving the architecture, technical direction, and engineering standards that support Trio's AI-powered products, Digital Workers, and intelligent automation capabilities. This role leads the design and evolution of complex AI systems spanning agentic workflows, retrieval-augmented generation (RAG) architectures, orchestration frameworks, evaluation platforms, observability capabilities, and product AI infrastructure. The Lead AI Engineer operates as the technical leader for the AI Engineering team, influencing architecture decisions across Trio's products while partnering closely with Product, Engineering, Data, Platform, and executive stakeholders. This role has a clear path toward team leadership, with the ideal candidate combining deep technical expertise with a desire to grow into people management. This is a hands-on technical leadership role on a small, high-leverage team.
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, 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
Nice To Haves
- 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
- .NET/C#, React/TypeScript, SQL Server, CosmosDB, Auth0, Azure DevOps, Datadog
- SaaS, workforce technology, healthcare, or high-growth technology organizations
- AI governance, security, compliance, or responsible AI practices
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 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
Benefits
- The expected base salary range for this position is $150,000 to $180,000 annually.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
