Description Southern New Hampshire University is a team of innovators. World changers. Individuals who believe in progress with purpose. Since 1932, our people-centered strategy has defined us - and helped us grow a team that now serves over 180,000 learners worldwide.Our mission to transform lives is made possible by talented people who bring diverse industry experience, backgrounds and skills to the university. And today, we're ready to expand our reach. All we need is you.Make an impact - from near or farAt SNHU, you'll have the option to work remotely in the following states: Alabama, Arizona, Arkansas, Delaware, Florida, Georgia, Hawaii, Idaho, Indiana, Iowa, Kansas, Kentucky, Louisiana, Maine, Maryland, Massachusetts, Michigan, Mississippi, Missouri, Nebraska, New Hampshire, New Mexico, North Carolina, North Dakota, Ohio, Oklahoma, South Carolina, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, West Virginia, Wisconsin and Wyoming.We ask that our remote employees have access to a reliable internet connection and a dedicated, properly equipped workspace that is free of distractions. Employees must reside in, and work from, one of the above approved states.The opportunitySouthern New Hampshire University is looking for an AVP of AI Engineering reporting to the Vice President of AI Engineering. As a senior engineering leader, you will oversee operational execution, technical quality, and delivery reliability across the AI Engineering organization. This is the role accountable for ensuring AI projects move from strategy to stable, maintainable production systems - on time and at quality.You will combine people leadership, technical depth, and operational thoughtfulness. The AVP drives daily AI engineering execution, makes and guides technical decisions across the organization, and builds the operational practices and team culture that sustain high-quality delivery. This includes setting the standard for AI-augmented engineering - shaping how we adopt AI development tools and evolving our definition of engineering productivity.You will work remotely from any of our approved states. #LI-RemoteWhat you'll do:You will lead operational delivery across AI Engineering: planning, staffing, execution, and shipment of projectsYou will translate strategy into executable technical plans, milestones, and resourcing modelsYou will maintain visibility into project status, risks, dependencies, and delivery healthYou will guide execution practices across teams (planning cadences, estimation, delivery reviews, retrospectives, postmortems)You will ensure production readiness, on-call practices, and incident response processes are in place and improvingYou will lead long-term sustainability of AI systems post-launch, including maintenance, monitoring, and ongoing optimizationYou will be senior technical authority for AI Engineering and infrastructure decisionsYou will guide architecture for agentic AI systems, data platforms, evaluation frameworks, and production services - with a focus on scalability, reliability, security, cost efficiency, and observabilityYou will establish organizational standards for agent orchestration, memory, and tool use patternsYou will lead cost governance for LLM-based systems (token economics, model selection tradeoffs)You will define evaluation strategy for LLM and agent-based systems, ensuring measurable performance criteria exist before production deploymentYou will partner with Staff and Principal Engineers across SNHU to establish and promote adherence to AI technical standardsYou will directly manage engineering and senior technical leadsYou will coach managers on delivery, performance, and team developmentYou will lead staffing, hiring, onboarding and career growthYou will foster a culture of accountability, psychological safety, and continuous improvementYou will partner across SNHU teams, including AI Governance, Product, Data Science, Design, IT, and Academic partners to ensure smooth executionYou will communicate delivery progress, tradeoffs, and constraints to senior leadershipYou will help translate technical realities into applicable decisions for senior leadershipYou will set expectations and create conditions for AI-augmented development across the organization: tooling decisions, workflow patterns, and evolving standards for how the team uses AI development toolsWhat We're Looking For:10+ years of software engineering experience, with time in production systems5+ years leading engineering teams through managers or senior technical leadsExperience overseeing delivery for complex, multi-team technical projectsExpertise balancing technical depth with people and operational leadershipExperience in production software systems engineeringExperience building and operating AI-enabled systems in production environmentsExperience with agentic AI architecture, LLM-based systems, and agent orchestration patternsExperience with cloud infrastructure (AWS, Azure, or equivalent), data pipelines, and system reliabilityExperience with evaluation methodologies for LLMs and agentic systems (offline evals, human-in-the-loop, production monitoring)Experience with AI development tools (GitHub Copilot, Cursor, Claude Code, or similar)Experience with complex architecture reviews, technical tradeoffs, and debugging when neededExperience establishing engineering processes that improve predictability without bureaucracyFamiliarity with on-call models, incident response, and production operationsExperience improving engineering quality, delivery speed, and system stabilityWe believe real innovation comes from inclusion - where different experiences, perspectives and talents are celebrated. So if you're wondering whether SNHU is right for you, take the leap and apply. You might be just the person we're looking for.CompensationThe annual pay range for this position is $151,612.00 - $242,625.00. Actual offer will be based on skills, qualifications, experience and internal equity, in addition to relevant business considerations. We expect this position to be hired in the following target hiring range $167,532.00 - $226,661.00.Exceptional benefits (because you're exceptional)You're the whole package. Your benefits should be, too. As a full-time employee at SNHU, you'll get:High-quality, low-deductible medical insuranceLow to no-cost dental and vision plans5 weeks of paid time off (plus almost a dozen paid holidays)Employer-funded retirementFree tuition programParental leaveMental health and wellbeing resources