Southern New Hampshire University is hiring a Senior AI Engineer to join the AI Engineering team. The engineer will design, build, and help operationalize AI products. The role is remote and full-time.
Company: Southern New Hampshire University
Role: Senior AI Engineer
Location: Remote (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)
Experience:
- 5+ years shipping and operating production software at scale
- Production experience in at least one major cloud (AWS, Azure, or GCP)
- Hands-on production work with LLMs - orchestration, memory, tool use, evaluation
- Experience designing agentic systems
- Practical LLM evaluation - designing evals, reading offline vs. in-product signals, building the instrumentation to act on them
- Infrastructure as Code (CDK, Terraform, or similar) and CI/CD (GitHub Actions or similar)
- Experience with a relational database such as MySQL, PostgreSQL, or Oracle
Key Skills:
- AI tooling
- coding agents
- modern dev workflows
- LangGraph/LangChain
- CrewAI
- AutoGen
- MCP
- Claude Code
- Cursor
- Codex
- GitHub Copilot
Qualification:
- Bachelor's degree in Computer Science, Engineering, or related field
Role Focus:
- Design and ship AI solutions - agent orchestration, tool use, memory, retrieval, and the integrations that connect them to SNHU systems of record and data
- Oversee architectural decisions and their documentation (Architectural Decision Records)
- Design and operate solution-specific tests and evaluations; build the instrumentation that makes offline and in-product signals actionable
- Implement agent and orchestration patterns using frameworks like LangGraph/LangChain, CrewAI, AutoGen, MCP, or custom approaches
- Surface delivery and technical risk early; make scope and architecture trade-offs decisively
- Pair with the host team's engineers on AI-augmented development practice
- Produce the standard pod artifact set, which includes Agent Design Briefs, ADRs, Evaluation Scorecards, Deployment and Operations Runbooks, and retros
Additional responsibilities:
- Contribute to shared AI Engineering assets - prompt and skill libraries, evaluation templates, reference architectures, practice handbook entries
- Partner with SNHU AI on governance, safety, evaluation, and adoption as they relate to your build work
- Coordinate with IT on infrastructure, IAM, security review, and DevOps as pod work requires
- Align with the host team and adjacent functions where mutual coordination makes sense, without duplicating their steady-state work
Other:
- The annual pay range for this position is $113,908.00 - $182,287.00
- 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