Sr. AI Solutions Engineer

World’s Finest Chocolate•Chicago, IL

11d•$140,000 - $155,000•Hybrid

About The Position

World's Finest Chocolate is seeking a Sr. AI Solutions Engineer to design, build, integrate, and operationalize practical AI solutions that improve productivity, automate repetitive work, and strengthen decision-making. This role translates business needs into secure, scalable, measurable AI-enabled solutions using Snowflake, Microsoft Copilot, Copilot Studio, Azure AI, Power Platform, enterprise data, workflow automation, and integration patterns across core platforms. Snowflake is the central data platform, and deep hands-on experience is essential to this role. The role is hands-on and delivery-oriented, operating at the intersection of business process improvement, enterprise data, application integration, responsible AI governance, and end-user adoption. Claude AI may be used as a governed complement to the Microsoft-first AI stack. This role balances practical AI solution design and delivery, Copilot, agentic AI, workflow automation, and targeted Claude enablement, enterprise data, RAG, knowledge grounding, and system integration support, and responsible AI governance, security, quality assurance, adoption, and operational support. Monthly onsite attendance is a mandatory requirement for this role and is not negotiable. To support this requirement, applicants must currently reside in the Chicagoland area and be authorized to work in the United States without current or future employer sponsorship.

Requirements

5–8 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.
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.

Nice To Haves

Certifications 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.

Responsibilities

AI Solution Design & Delivery: 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.
Copilot, Agents, & Workflow Automation: 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.
Prompt, Knowledge, & RAG Engineering: 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.
Enterprise Integration & Data Alignment: 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.
Governance, Security, & Compliance: 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.
Testing, Support, & Adoption: 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.
Claude AI for Targeted Solutions: 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.