Lead AI Engineer

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 OnThe 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 ResponsibilitiesArchitecture & Technical DirectionOwn the architecture of the Digital Worker platform and the AI capabilities embedded in Trio's productsEstablish design principles, engineering patterns, and architectural standards for AI systemsLead technical design reviews and make the tradeoff calls on quality, latency, cost, and operational complexityEvaluate emerging AI technologies and determine what is worth adoptingAI Systems EngineeringDesign and build production systems using LLMs, retrieval architectures, agentic workflows, and tool useBuild reusable frameworks for agent orchestration, tool integration, workflow execution, and memorySolve the hardest technical problems on the team, hands-onEvaluation & QualityOwn the standards for how we measure AI quality: accuracy, groundedness, safety, latency, and business impactBuild and extend evaluation frameworks that catch regressions and hallucinations before clients doDrive measurable improvement in system quality through experimentation and production learningObservability & Operational ExcellenceDefine monitoring, tracing, and logging standards for AI systems in productionEstablish reliability and performance objectives; serve as senior escalation for critical AI production issuesImprove production readiness and AI lifecycle management as the platform scalesTechnical Leadership & PartnershipMentor the AI Engineering team and grow their architectural judgment and engineering depthLead code and design reviews; set and enforce engineering standardsPartner with Product, Platform, Data, Security, and executive stakeholdersTranslate business objectives into technical strategy, and technical tradeoffs into business termsGrowth PathWe 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.EducationRequired: 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 Experience7+ years in software engineering, data engineering, or a closely related technical field2+ years building and operating production LLM-powered systems, not prototypes or demosDemonstrated depth in agentic systems, RAG architectures, or AI orchestration frameworksSolid understanding of machine learning fundamentalsStrong distributed systems and software architecture fundamentalsProfessional proficiency in Python; comfort in a polyglot environmentTrack record of evaluating AI system quality quantitatively and acting on the resultsExperience mentoring engineers on technical and architectural decisionsExcellent written and verbal communication with both technical and executive audiencesPreferred ExperiencePrior experience leading or managing a teamAzure cloud, Azure OpenAI, and event-driven infrastructureVector databases, semantic search, embeddings, and enterprise knowledge systemsBuilding agent orchestration platforms or autonomous workflow systems at scaleAI governance, security, compliance, or responsible AI practices.NET/C#, React/TypeScript, SQL Server, CosmosDB, Auth0, Azure DevOps, DatadogSaaS, workforce technology, healthcare, or high-growth technology organizationsSuccess MetricsFirst 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 WorkersEvaluation and observability coverage extended to every production AI capabilityReduction in AI-related production incidents and regressionsReusable frameworks and standards adopted across AI engineering workDemonstrable technical growth in AI Engineering team membersNew Digital Worker capabilities delivered faster, with less bespoke engineering per workflowLocationThis 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.CompensationThe 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 StatementAll 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 RequirementsQualified 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 workdayLearning and applying new tasks and proceduresMaintaining attention and completing work independentlyMaking timely workflow-related decisionsMeeting productivity and/or time-based performance expectationsQualified 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.All AHSG companies, AHS Staffing, AHSA, and Trio Workforce Solutions are equal employment opportunity employers. #J-18808-Ljbffr