Sr. AI Solutions Engineer

• Practical AI solution design and delivery
• Copilot agentic AI workflow automation and targeted Claude enablement
• Enterprise data RAG knowledge grounding and system integration support
• Responsible AI governance security quality assurance adoption and operational support

• Identify prioritize prototype and deploy AI use cases across all WFC functional areas
• Translate process pain points into AI solution designs MVPs production-ready capabilities and measurable outcomes.
• Build reusable automations and documentation standards that can scale across departments.

• Design and support copilots assistants and agents using Microsoft Copilot Studio Microsoft 365 Copilot extensibility Azure AI Power Automate and related tools including Claude when appropriate.
• Automate document review knowledge retrieval inquiry routing response drafting reporting support workflow initiation and task summarization.
• Integrate AI-enabled workflows with Teams SharePoint Outlook Power Platform Salesforce SAP Snowflake and Power BI while preserving system ownership.

• Develop and maintain prompt patterns reusable instruction sets source handling standards and AI usage patterns for repeatable business use cases.
• Design AI solutions grounded in approved enterprise content and data including SharePoint Teams Salesforce SAP Snowflake Power BI and governed repositories.
• Support RAG patterns semantic search metadata design source attribution content freshness and conflict identification.

• Partner with platform and data owners to ensure AI solutions use appropriate data sources system-of-record definitions data contracts and integration patterns.
• Develop lightweight APIs connectors workflow integrations and controlled data-access patterns where needed to support AI solution delivery.
• Ensure AI designs respect operational system boundaries and enterprise reporting standards especially around Salesforce SAP Snowflake and Power BI.

• Apply responsible AI privacy security access auditability source traceability and human-approval controls to AI and Claude solutions.
• Classify use cases by data sensitivity business risk required approvals support model and deployment readiness before production rollout.
• Maintain documentation for use cases data sources prompts assumptions controls testing results owners risks and success metrics.

• Create test plans for functional behavior prompt quality grounding security regression user acceptance and post-deployment monitoring.
• Partner with QA and Training resources to produce test scripts user guides release notes support procedures demos and adoption materials.
• Measure value through hours saved cycle-time reduction improved quality better customer support user adoption and decision-support improvements.

• Use Claude selectively for approved use cases involving long-context reasoning document analysis comparison summarization structured drafting and requirements synthesis.
• Apply Claude to policy/procedure review executive communication project documentation training content refinement technical explanation and business analysis where appropriate.
• Support controlled Claude Code or comparable code-assist scenarios for code review test generation refactoring documentation and migration planning under human-review controls.

• 58 years in software engineering automation analytics engineering AI solution delivery enterprise application development solution architecture or a related technology role.
• Demonstrated hands-on Snowflake experience (including working with data models schemas and Cortex) required.
• Experience delivering workflow automation integration reporting or AI-enabled business solutions in a business-facing environment.
• Experience with Microsoft 365 Power Platform Copilot Studio Azure AI Azure OpenAI Claude and comparable AI and automation tools.
• Experience integrating with enterprise platforms such as Salesforce SAP Snowflake Power BI SharePoint Teams or similar systems.
• Candidates must be authorized to work in the United States without current or future employer sponsorship.
• Candidates must maintain their primary residence within the Chicagoland area throughout their employment.

• Deep expertise in Snowflake (including Cortex) and Microsoft Copilot Studio.
• Solid proficiency in Python JavaScript SQL.
• Strong working knowledge of Power Automate Azure AI OpenAI prompt engineering AI agents APIs connectors workflow orchestration and RAG patterns.
• Practical understanding of Claude AI for document analysis structured writing long-context summarization requirements synthesis technical explanation and controlled code-assist scenarios.
• Proficiency with SQL and practical experience with Python scripting APIs low-code/no-code tools or similar development methods.
• Understanding of data quality metadata lineage access controls retention source attribution and information governance.

• Preferred: Microsoft Certified: Azure AI Engineer Associate Microsoft Power Platform certification Copilot Studio/Azure OpenAI/AI fundamentals certification or Snowflake Power BI Salesforce security or related enterprise platform certification.

• Strong communication skills with the ability to explain AI concepts risks limitations and business value in practical terms.
• Hands-on problem-solving mindset with the ability to move from idea to prototype to controlled production deployment.
• Ability to challenge AI use cases when risks exceed value or when AI is not the right solution.
• Strong analytical thinking attention to detail documentation discipline and cross-functional collaboration.

• Partner with internal and external engineering teams to prepare and leverage enterprise data in Snowflake making it agent-ready for agentic workflows.
• Build production-ready AI agents on top of Snowflake leveraging Snowflake Cortex as the AI layer and Microsoft Copilot Studio to design deploy and maintain agentic workflows that act on unified data from Salesforce SAP and our Fundraising App.
• Partner with internal and external engineering teams to prepare and leverage enterprise data in Snowflake making it ready for agentic workflows.
• Develop forecasting and predictive capabilities in Snowflake using Cortex to turn unified enterprise data into forward-looking business insight.
• Develop deep mastery of our data models schemas and data both inside and outside our environment to ground AI solutions in accurate well-understood sources.

• Practical AI and Claude-assisted use cases move from concept to controlled production with clear ownership documented controls and measurable value.
• AI outputs are grounded in approved enterprise data and content cite sources where appropriate identify conflicts and avoid unsupported conclusions.
• Solutions integrate appropriately with Salesforce SAP Snowflake Power BI Microsoft 365 Power Platform and approved AI tools without bypassing platform governance.
• Responsible AI security privacy access audit and human-approval requirements are embedded into solution design and release practices.
• Reusable prompt libraries agent patterns Claude usage patterns testing methods documentation standards and governance checkpoints are adopted across departments.

Required Experience:

Senior IC