Director of AI Solutions Partners

SNHU Careers

. Lead discovery and solution definition for SNHU's AI engineering capability .

Posted 11/11/2026full-timeRemote • United StatesLead💰 $96,954 - $155,153 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading AI discovery initiatives, translating complex problems into production-grade solutions, and mentoring teams in AI practices. Proficient in applied AI, coding in Python, JavaScript, or TypeScript, and utilizing AI tools and frameworks to drive successful outcomes.

Highest-signal resume keywords

AI Discovery LeadershipApplied AI ExpertisePython, JavaScript, TypeScript ProficiencyTeam Development and MentoringStakeholder Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Product ManagementWorkflow AnalysisOpportunity AssessmentRequirements DefinitionPrototypingSolution DesignOutcome MeasurementAI EvaluationAgentic SystemsLLMs

Soft Skills

Strong Written CommunicationStrong Verbal CommunicationJudgment in Problem Scoping

Tools & Technologies

ClaudeMicrosoft CopilotCursorLangGraphAWS StrandsVercel AI SDK

Industry Keywords

Education TechnologyHigher Education SystemsDigital StrategyExperience DesignAI Practices

Tech Stack

Tools & technologies

AWSJavaScriptPythonTypeScript

About the role

Key responsibilities & impact

Lead discovery and solution definition for SNHU's AI engineering capability
Identify high-leverage AI problems and opportunities and turn them into production-grade solutions
Lead the path from opportunity identification through discovery, workflow analysis, validated case for building, and solution shape
Sequence the discovery pipeline against available pod capacity
Define standards for problem definition, requirements, prototyping, user validation, acceptance criteria, and scaling
Run intake and triage with AI Engineering leadership and AI Portfolio Operations
Own and prioritize the opportunity portfolio
Advise when AI is not the right tool or when process change, an existing system, or another team is a better solution
Define outcomes and evaluation criteria for initiatives
Hire, develop, and lead AI Solutions Partners; own performance, growth, and career development
Build discovery playbooks, workflow-mapping guides, assessment templates, requirements patterns, and practice documentation
Allocate AI Solutions Partners across pods and initiatives
Mentor the AI organization and wider institution
Personally lead complex and high-stakes discovery initiatives
Build prototypes, agent workflows, and working demonstrations
Stay hands-on with AI tooling and agentic frameworks; engage with code, architecture, solution design, model, cost, and latency trade-offs
Own the definition side of the AI Product Pod model
Collaborate with Domain Product Owners, Business Sponsors, host-team leadership, AI Operations and Governance, ITS, data leadership, executive stakeholders, and academic stakeholders
Ensure pods account for existing teams, platforms, and systems and enable host teams to sustain shipped solutions
Contribute to checkpoint reviews and surface definition and scope risks
Report progress in actionable terms and spread AI practices across SNHU

Requirements

What you’ll need

7+ years in product management, product strategy, AI or digital strategy, experience design, or a related discipline, including taking ambiguous problems through to shipped, production software
2+ years leading, developing, or formally mentoring practitioners, including building or growing a team or function
Bachelor Degree in relevant field; equivalent experience considered in lieu of degree
Demonstrated record of leading discovery end to end, including stakeholder interviews, workflow analysis, opportunity assessment, and translating findings into requirements
Working command of applied AI, including LLMs, retrieval, agentic systems, and evaluation
Technical depth to engage with code in Python, JavaScript, or TypeScript, reason about architecture, and shape solution design
Applied experience with AI tools and agentic frameworks, including building prototypes independently
Experience with Claude and Claude Code, Microsoft Copilot, Cursor, LangGraph, AWS Strands, or the Vercel AI SDK
Practical experience defining outcomes and measures of success
Experience translating ambiguous domain problems into delivered solutions with non-technical stakeholders
Judgment to scope tightly, assess build versus buy, and recognize when AI is not the right tool
Strong written and verbal communication
Preferred: education technology or higher education systems, experience standing up a discovery, strategy, or product function, embedded or forward-deployed team experience, design or user experience practice, AI evaluation, and transferring capability through teaching, enablement, and documentation
Employees must reside in and work from one of the approved states

Benefits

Comp & perks

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