AI Enablement Engineer

What's the Short Version? The AI Enablement Engineer designs, builds, and deploys AI-powered workflows, agents, and integrations that solve real business problems across SanMar and helps teams adopt and sustain them. This role works with solutions through their full lifecycle, from prototype to production to ongoing maintenance, while also coaching employees and translating between business needs and technical capabilities. Additionally, this role produces the tools, automations and integrations required for users to enable AI capabilities. It pairs a practitioner's technical depth - coding, APIs, and agent orchestration with communication skills to evangelize new capabilities, execute demos, and make AI approachable for non-technical users. The Engineer partners closely with IT, Architecture, and business teams to ensure what gets built is secure, governed, measurable, and genuinely useful. What Will You Be Doing? Design, build, and deploy production-grade AI workflows, agents, and automations using approved platforms (Microsoft Copilot Studio, Power Automate, Azure AI, and equivalent tools). Integrate AI tools with enterprise systems via APIs, connectors, and protocols such as MCP (Model Context Protocol) — including authentication, error handling, and data flow. Build and orchestrate multi-step and multi-agent workflows, including the guardrails, monitoring, logging, and fallback logic that make them reliable in production. Develop reusable components, prompt libraries, skills/plugins, and integration patterns that other teams can adopt and extend. Work with solutions across their full lifecycle: prototype, test, deploy, monitor, maintain, and retire — taking proof-of-concepts through to supported production where the value justifies it. Design and operate within governed AI experimentation environments, building safely within approved guardrails. Use diagnostic questioning to uncover the underlying business need behind a request, separating what users ask for from what would actually help. Partner with employees and teams to understand current workflows, friction points, and productivity challenges, and identify where AI can meaningfully improve work. Provide 1:1 and small-group coaching, run workshops, office hours, and live demos, and deliver role-based AI literacy content in partnership with Talent Development. Translate between business language and technical capability — helping users articulate needs and helping technologists understand business context. Develop practical job aids, documentation, and reference materials that make AI approachable for non-technical users. Track adoption, usage, and outcome trends to identify gaps, measure impact, and prioritize what to build next. Perform other duties as assigned. Comply with all policies and standards. What Are We Looking For? Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, a related field, or equivalent practical experience. 1-3 years at minimum in technical or building roles (software development, automation, solutions engineering, creative operations, or similar), including recent hands-on experience building AI-powered or automated solutions. High level of technical acumen for learning and applying technology. Prior experience coaching, mentoring, or evangelizing technology to peers and leadership. Demonstrated coding ability (e.g. Python, JavaScript/TypeScript, SQL) sufficient to build, integrate, and debug workflows, scripts, and automations independently. Hands-on experience building automations and integrations on platforms such as Power Automate, Copilot Studio, n8n, Zapier, or equivalent. Practical experience working with APIs, webhooks, and authentication, and connecting AI tools to enterprise systems and data. Experience building AI agents and orchestrating multi-step or multi-agent workflows, including error handling and reliability considerations. Working knowledge of core AI concepts — large language models, prompt engineering, AI agents, and how to evaluate, ground, and constrain AI outputs for reliability. Solid understanding of responsible AI principles, security, data privacy, and why guardrails matter in an enterprise environment. Strong communication skills across technical and non-technical audiences; comfortable running workshops, leading live demos, and tailoring messages to varied audiences. Self-directed, business-oriented, and energized by both building solutions and helping others succeed. Hands-on experience with enterprise AI platforms such as Azure OpenAI or Azure AI Studio is a plus. Familiarity with the Microsoft 365 ecosystem and Microsoft Copilot in an enterprise context is a plus. Experience with data pipelines, data quality, or making structured data agent-accessible is a plus. What's Our Offer? Salary Range: You`ll earn between $100,000 - $145,000 annually, depending on experience. Bonus: You`ll be eligible for an annual discretionary bonus up to 10% of base salary. Paid Time Off: You`ll accrue paid time off on a bi-weekly basis based on hours worked up to 112 hours per year to start. Employees also receive 8 paid holidays and 1 paid family day off. Additional Benefits: Comprehensive medical, dental, and vision benefits 401k plan and matches $1 for $1 up to 4% of earnings, matched & vested at every pay cycle Life insurance Short/long-term disability coverage Paid maternity/paternity leave Pet insurance What Should You Expect? Hybrid: SanMar's Eastpointe office is located in Issaquah, WA in the Seattle metropolitan area. Employees are required to work in our offices Tuesday through Thursday each week and additional days may be added based on business needs. Our standard working hours are 8:00-5:00 PST. Periodic travel may be required. The employee is regularly required to sit for extended periods while working on a computer and participating in virtual and in-person meetings. Frequent use of hands for keyboarding and standard office equipment is required. Occasional standing, walking, and reaching may be needed to attend meetings or collaborate in an office setting. The role requires the ability to perform close visual work on a computer for extended periods. The employee may occasionally lift and/or move up to 10–15 pounds. Reasonable accommodations may be available to enable individuals with disabilities to perform essential job functions.

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