You will lead operational delivery across AI Engineering: planning, staffing, execution, and shipment of projects
You will translate strategy into executable technical plans, milestones, and resourcing models
You will maintain visibility into project status, risks, dependencies, and delivery health
You 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 improving
You will lead long-term sustainability of AI systems post-launch, including maintenance, monitoring, and ongoing optimization
You will be senior technical authority for AI Engineering and infrastructure decisions
You will guide architecture for agentic AI systems, data platforms, evaluation frameworks, and production services - with a focus on scalability, reliability, security, cost efficiency, and observability
You will establish organizational standards for agent orchestration, memory, and tool use patterns
You 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 deployment
You will partner with Staff and Principal Engineers across SNHU to establish and promote adherence to AI technical standards
You will directly manage engineering and senior technical leads
You will coach managers on delivery, performance, and team development
You will lead staffing, hiring, onboarding and career growth
You will foster a culture of accountability, psychological safety, and continuous improvement
You will partner across SNHU teams, including AI Governance, Product, Data Science, Design, IT, and Academic partners to ensure smooth execution
You will communicate delivery progress, tradeoffs, and constraints to senior leadership
You will help translate technical realities into applicable decisions for senior leadership
You 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 tools

Requirements

10+ years of software engineering experience, with time in production systems
5+ years leading engineering teams through managers or senior technical leads
Experience overseeing delivery for complex, multi-team technical projects
Expertise balancing technical depth with people and operational leadership
Experience in production software systems engineering
Experience building and operating AI-enabled systems in production environments
Experience with agentic AI architecture, LLM-based systems, and agent orchestration patterns
Experience with cloud infrastructure (AWS, Azure, or equivalent), data pipelines, and system reliability
Experience 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 needed
Experience establishing engineering processes that improve predictability without bureaucracy
Familiarity with on-call models, incident response, and production operations
Experience improving engineering quality, delivery speed, and system stability.

Benefits

High-quality, low-deductible medical insurance
Low to no-cost dental and vision plans
5 weeks of paid time off (plus almost a dozen paid holidays)
Employer-funded retirement
Free tuition program
Parental leave
Mental health and wellbeing resources

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

software engineeringAI systems engineeringagentic AI architectureLLM-based systemscloud infrastructuredata pipelinesevaluation methodologiesincident responseproduction operationsengineering processes

Soft Skills

operational leadershipteam developmentcommunicationaccountabilitypsychological safetycontinuous improvementcoachingstaffingonboardingcross-team collaboration