AI Operations Engineer

Virta Health

8d•$136,000 - $176,000•Remote

About The Position

Virta Health is on a mission to reverse metabolic disease in one billion people. Current treatment approaches aren’t working—over half of US adults have either type 2 diabetes or prediabetes, and obesity rates are at an all-time high. Virta is changing this by helping people reverse their metabolic condition through innovations in technology, personalized nutrition, and virtual care delivery reinvented from the ground up. We have raised over $350 million from top-tier investors, and partner with the largest health plans, employers, and government organizations to help their employees and members restore their health and take back their lives. Join us on our mission to reverse metabolic disease in one billion people. As our AI Operations Specialist you will be a technical catalyst driving Virta's evolution into an AI Native organization. You will serve as the hands-on subject matter expert partnering on the department-by-department rollout of our selected agentic AI platform with HR, ensuring our teams safely and effectively exploit generative AI to maximize their operational velocity. In this highly cross-functional role as part of the Engineering organization, you will partner closely with HR, business department SMEs, IT, Information Security, and Infrastructure Engineering to audit AI costs, evaluate AI connectivity requests, and operationalize long-term support workflows. If you are exceptionally curious, structurally analytical, and thrive in rapidly shifting environments, this role is your opportunity to define the future of work in digital health.

Requirements

2+ years of experience in agentic AI, IT operations, and business systems enablement, 4 years technical program management.
Technical skills: Hands-on technical experience deploying, configuring, or supporting generative AI productivity suites (such as Google Gemini, OpenAI/ChatGPT Enterprise, or Microsoft Copilot) across corporate environments.
API & Model Orchestration: Hands-on experience integrating with frontier LLMs, multi-agent frameworks, and vector/retrieval systems.
Software Engineering: Strong fundamentals in general software development with proficiency in languages like Python and C++.
Systems Integration: Ability to design with Model Context Protocol (MCP) servers and connect AI systems to existing internal legacy databases and web APIs.
Strong analytical and quantitative skills with experience building dashboard telemetry using APIs (e.g., utilizing Sheets, SQL, Looker, or similar BI tools) to gather info across platforms to track API utilization, software licensing, or operational costs.
Exceptional agility and communication skills, with a proven ability to demystify complex technical tools for non-technical users and coordinate across IT, Security, and Engineering.
Successfully designed and implemented repeatable AI-enabled workflows that address team bottlenecks and improve efficiency.
Can-do attitude with never-ending curiosity to learn

Responsibilities

Drive Adoption of selected agentic AI platform: Serve as the technical SME and primary champion for our rollout, partnering with HR department-by-department to support technical request and access, identify productivity bottlenecks, and implement high-impact AI use cases.
Establish AI Financial Observability: Define, monitor, and report on enterprise AI costs by department, creating structured dashboards to ensure optimized allocations and fiscal efficiency across our SaaS toolset.
Govern AI Vendor Risk Assessment: Partner with Information Security and legal teams to review, and assess new AI tools and vendors, validating how to implement connectivity
Bridge IT, Security & Engineering Infrastructure: Collaborate with internal infrastructure and security platform engineering teams to translate evolving technical AI guardrails into frictionless business enablement policies.
Build Repeatable IT Operational Workflows: Architect and document long-term support processes, training modules, and standard operating procedures (SOPs) to transition daily AI ticket triaging, troubleshooting, and license management smoothly to the broader IT support team.
Tooling & Infrastructure: Build internal AI platforms, custom copilots, prompt libraries, and AI-agent toolkits designed for specific company workflows.
Cross-Functional Enablement: Partner with non-technical teams to identify repetitive work and prototype rapid, AI-powered solutions.
Governance & Standards: Establish the necessary security guardrails, evaluation frameworks, and system guardrails so internal teams can deploy trusted AI safely at scale.
Training & Mentorship: improve AI literacy in partnership with HR and promote AI adoption across the entire enterprise.