SaaS, workforce technology, healthcare, or high-growth technology organizations
Full description
It's fun to work in a company where people truly believe in what they're doing!
We're committed to bringing passion and customer focus to the business.
Trio WFS builds Digital Workers, autonomous AI systems that execute real operational workflows in healthcare workforce management, already running in production and delivering measurable results for our clients.
The Lead AI Engineer is the senior technical authority for this work, 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 is being developed with a clear path toward team leadership. The ideal candidate combines deep technical expertise with a genuine desire to grow into people management, and will be coached and mentored to eventually lead the AI Engineering team.
This is a hands-on technical leadership role on a small, high-leverage team of one Senior AI Engineer and one AI Engineer, with direct exposure to Engineering, Product, and executive leadership.
What You'll Work On
The Digital Worker framework, a pattern where policies (the questions a client needs answered) combine with features (the data available to answer them) to produce grounded, auditable decisions. Extending this framework to new workflows is the core of the job.
Evaluation infrastructure, the harness that lets us quantitatively measure whether a change to a prompt, retrieval strategy, or model actually improved anything. This gates what ships.
Platform orchestration, an event-driven orchestrator with autoscaling, input-level quarantine, and per-worker circuit breaking.
Centralized inference, an LLM gateway that routes, logs, and controls cost and latency across every AI-powered capability in the product.
Retrieval and knowledge systems, ingestion, embedding, indexing, and grounding strategies that keep answers accurate and traceable.
Principal Responsibilities
Architecture & Technical Direction
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
AI Systems Engineering
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
Evaluation & Quality
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
Observability & Operational Excellence
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
Technical Leadership & Partnership
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
Growth Path
We are hiring a technical leader first. As the AI Engineering team grows, this role is expected to take on formal leadership of it. We will discuss what that path looks like openly during the interview process, including timeline expectations and what the transition into people management actually involves.
Education
Required: Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field, or equivalent practical experience. Preferred: Master's degree in Computer Science, AI, Machine Learning, or a related technical discipline.
Required 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
Preferred Experience
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
SaaS, workforce technology, healthcare, or high-growth technology organizations
Success Metrics
First 90 days: fluent in the Digital Worker platform and evaluation harness, owning at least one significant architectural decision, established as a technical resource for the team.
First 12 months:
Measurable improvement in AI quality, groundedness, latency, and cost efficiency across production Digital Workers
Evaluation and observability coverage extended to every production AI capability
Reduction in AI-related production incidents and regressions
Reusable frameworks and standards adopted across AI engineering work
Demonstrable technical growth in AI Engineering team members
New Digital Worker capabilities delivered faster, with less bespoke engineering per workflow
Location
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, and we'd love to build out our presence in both over time, but it is not a requirement.
Compensation
The expected base salary range for this position is $150,000 to $180,000 annually. The final compensation offered will be determined based on a number of factors, including but not limited to skills, qualifications, experience, and location.
Equal Employment Opportunity Statement
All AHSG companies, including AHS Staffing and Trio Workforce Solutions, are Equal Employment Opportunity employers. We consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, genetic information, veteran status, or any other status protected by applicable law.
Reasonable Accommodation Statement (ADA)
AHSG will not refuse to hire or otherwise discriminate against a job applicant with a disability who is capable of performing the essential functions of the job with or without reasonable accommodation. If you need an accommodation to apply for a position or to perform the essential functions of the role, please let us know.
Essential Functions / Job Requirements
Qualified candidates must be able to perform the essential functions of the position, with or without reasonable accommodation. Requirements may vary depending on the role. A detailed job description, including the essential functions and any physical requirements, will be provided upon request.
Example of Role-Specific Requirements (when applicable)
For this position, the essential functions may include:
Remaining in a stationary position for approximately 50% of the workday
Learning and applying new tasks and procedures
Maintaining attention and completing work independently
Qualified candidates must possess the physical and mental abilities necessary to perform the job's essential functions, with or without reasonable accommodation. Specific requirements may vary depending on the nature of the position. Applicants should be prepared to discuss their ability to meet these requirements during the interview process. A detailed job description outlining the physical and mental demands of the role will be provided upon request.
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All AHSG companies, AHS Staffing, AHSA, and Trio Workforce Solutions are equal employment opportunity employers.