Sr AI Solution Engineer
About The Position
The Sr. AI Solution Engineer leads the AI SWAT team's embedded engagements with business units, owning the path from opportunity discovery through production deployment of AI agents and the resulting business outcomes. The role rotates across Sales, Accounting/Finance, Marketing, Legal/HR, and Supply Chain/Operations, setting the technical approach, designing and building complex solutions, and deciding whether to configure, build, or buy. The engineer mentors the AI Engineer, partners with the AI Architect and AI Data Engineer on reusable patterns, and reports realized value to business leaders and the AI Steering Committee. The position combines business engagement leadership, production AI engineering, evaluation and production-readiness oversight, executive communication, adoption planning, and reusable platform contribution. Solutions may use Microsoft Copilot Studio, Microsoft Foundry, OpenAI and Claude models, Salesforce Agentforce, SAP Joule, Microsoft Fabric, and related tools and platforms.
Requirements
- 3–5 years of experience building AI-enabled apps, enterprise automations, or business-facing software in solutions engineering or development roles.
- 1–3 years of experience leading end-to-end delivery of production generative AI solutions, including stakeholder ownership, evaluation, and Responsible AI review.
- Ability to lead an engagement independently as a trusted advisor to business leaders.
- Strong facilitation, storytelling, and executive presence.
- Product mindset focused on adoption and measurable outcomes.
- Ability to coach the AI Engineer and raise team quality.
- Knowledge of AI platforms including Microsoft Copilot, Graph, Copilot Studio, Microsoft Foundry, Azure OpenAI, and Salesforce Agentforce.
- Knowledge of generative AI models and methods, including OpenAI and Claude tool calling, MCP, RAG, prompt engineering, and context engineering.
- Knowledge of agent frameworks such as LangChain, Semantic Kernel, or equivalent.
- Knowledge of integration and automation tools such as Power Platform, Power Automate, MuleSoft, Workato, Salesforce Flow, and Zapier.
- Knowledge of Microsoft Fabric, Power BI, and SQL.
- Programming experience with TypeScript/JavaScript and Python.
- Experience with Git, CI/CD, Cursor or Claude Code, work tracking tools such as Azure DevOps or Jira, and documentation tools such as Confluence or SharePoint.
- Knowledge of application telemetry tools such as Application Insights, Log Analytics, or equivalent, and Copilot Studio and Foundry evaluations.
Nice To Haves
- Bachelor's degree in Computer Science, Information Systems, Artificial Intelligence, or a related field.
- Master's degree (MS) in a related field.
- Familiarity with SAP Joule.
- Microsoft AI-103: Developing AI Apps and Agents on Azure certification.
- Microsoft Power Platform Developer Associate certification.
- Salesforce Platform Developer I or Agentforce Specialist certification, especially for Sales-heavy rotations.
- Workato or MuleSoft integration certification.
- Responsible AI or governance training aligned to internal standards.
Responsibilities
- Lead embedded engagements with business-unit leaders; conduct discovery, ride-alongs, process mapping, and value sizing.
- Own a prioritized portfolio of AI use cases for each business unit, including baselines, target KPIs, and business cases.
- Set the technical approach for each solution, select platforms and models, design multi-step and multi-agent workflows with human-in-the-loop controls, and recommend whether to configure, build, or buy within the AI Architect's standards.
- Personally build and ship the most complex production agents and automations, including custom-coded solutions, tool calling, agent frameworks, MCP tools, retrieval over Microsoft Fabric and SharePoint content, and CI/CD.
- Define evaluation strategy and acceptance criteria for accuracy, groundedness, safety, and cost per task; approve production readiness.
- Lead Responsible AI, security, privacy, and legal reviews for team solutions.
- Mentor the AI Engineer; review prompts, code, flows, and evaluation results; set delivery standards, estimates, and engagement playbooks.
- Present solution designs, trade-offs, and results to directors and vice presidents.
- Track and report realized value, including hours returned, cycle time, quality, adoption, and cost, in Power BI to business leaders and the AI Steering Committee.
- Lead adoption and workflow redesign with process owners; plan rollout, training, and support handoff.
- Turn proven solutions into reusable agent templates, prompt libraries, MCP tools, and workflow templates.
- Bring platform and data requirements to the AI Architect and AI Data Engineer and help shape team standards.
Benefits
- Competitive total compensation.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
