AI Solutions Engineer

About the role

This is an office-based position in Louisville, KY. The AI Solutions Engineer will own the complete lifecycle for AI agents and automation development for Heaven Hill, from infrastructure setup and backend integrations to user-facing interactions. The role will collaborate closely with internal stakeholders, end-users, and technology teams to deliver solutions that quickly move from concept to production, enhancing employee effectiveness and accelerating Heaven Hill’s digital growth. This position will provide internal support to Heaven Hill as needed on key data sources, pipelines, semantic models, and processes via collaboration and knowledge sharing. This also includes partnership with IT product owners and the business to complete projects following the Ways of Working protocol.

Responsibilities

• Agent Development: Build and deploy AI agents using LangChain, Semantic Kernel, Anthropic, or similar frameworks to securely query enterprise data through ChatGPT Enterprise.
• AI Data Integration & Management: Create and maintain data connectors exposing SQL, SharePoint, and other enterprise systems via MCP or custom solutions, enforcing strict security standards and RBAC.
• MLOps & DevSecOps: Develop and automate CI/CD pipelines for prompts, vector stores, and schema management; monitor AI solution performance (latency, token usage, accuracy).
• User Engagement & Support: Collaborate closely with business stakeholders for interactive development, capturing user feedback and ensuring high adoption rates through clear documentation. Work with product owners to lead internal projects (Tier 3 support).
• Data Projects: Participate in enterprise data warehouse initiatives, Power BI implementation, and updating legacy data pipelines using Fabric, SSRS, and SSIS.
• Research & Evaluation: Evaluate emerging AI technologies and tools and provide strategic recommendations on technology adoption.
• Security & Governance: Align AI solutions with internal security policies, conduct threat modeling, and prepare for compliance audits.
• Improving Team, Tools and Processes: Maintain systems by updating code as needed, documenting and fixing processes, mentoring and collaborating with other engineers, and suggesting process and technology improvements. Partner with manager to plan, write, and implement policies and procedures that demonstrate best practices. Provide guidance and support during weekly data engineering team meetings and project discussions, especially around following best practices and team policy.

Requirements

• Bachelor’s Degree in Computer Science, Information Systems, Data Analytics, or related field.
• Minimum 4 years of experience developing backend services/data pipelines, preferably in Python.
• Practical experience with LLM orchestration frameworks and vector databases.
• Proven experience deploying production applications on Azure.
• Deep understanding of OAuth, JWT, RBAC, and secure data access principles.
• Proficient SQL skills, including query optimization.

Qualifications

• Experience with Microsoft Copilot Studio plugins or Fabric Lakehouse.
• Familiarity with OpenAI Platform, ChatGPT, Gemini or Llama.
• Certification in Azure AI Engineer (AI-102) or Azure Data Scientist (DP-100).

Physical Requirements

While performing duties of job, employee is occasionally required to: stand; walk; use hands and fingers to handle or feel objects, and use of computer; reach with hands and arms. Lift and/or move up to 20 pounds.

Benefits

• Paid Vacation.
• 11 Paid Holidays.
• Health, Dental & Vision eligibility from day one.
• FSA/HSA.
• 401K match.
• EAP.
• Maternity/Paternity Leave.