AI Developer

Heartland Food Products Group•Carmel, IN

About The Position

The AI Developer designs, builds, tests, and deploys AI-powered solutions, automation workflows, and integrations that support HeartlandFPG business objectives. Working under the direction of the AI Architect, the role translates approved AI use cases into functional, production-ready applications and partners with the AI Architect and AI Administration to operationalize the company's AI platforms and deliver value to business units. The developer creates AI agents and automations for CPG use cases, develops prompts and supporting logic, and integrates solutions with enterprise data sources while observing governed access controls. The role also monitors and maintains deployed solutions, supports users, participates in output testing and validation, and contributes to reusable components and documentation. Development must comply with company AI policy, data privacy and security standards, and applicable food-industry, labeling, and FDA data requirements.

Requirements

  • Bachelor's degree in Computer Science, Software Engineering, Data Science, or a related field.
  • At least 3 years of experience building software, automation, or AI/ML solutions in a business environment.
  • Hands-on experience developing on AI or automation platforms.
  • Proficiency with programming or scripting, such as Python and SQL.
  • Experience with API-based integrations.
  • Experience deploying and maintaining production applications or automation workflows.
  • Understanding of prompt engineering, large language models, and AI agent design patterns.
  • Familiarity with data quality, security, and governance considerations in AI solution delivery.
  • Strong problem-solving skills and attention to detail.
  • Self-motivated and accountable, with the ability to work independently and collaboratively.
  • Effective written and verbal communication skills, including the ability to explain technical concepts to non-technical partners.
  • Commitment to responsible, secure, and policy-compliant AI development.
  • Ability to manage multiple priorities and deliver results under pressure.

Nice To Haves

  • Familiarity with enterprise AI platforms such as Abacus.AI.
  • Experience integrating with enterprise data environments such as Microsoft Fabric.

Responsibilities

  • Design, build, test, and deploy AI agents, automation workflows, and integrations on approved platforms, primarily Abacus.AI.
  • Translate approved AI use cases and requirements into functional, production-ready solutions.
  • Build and deploy AI agents and automations for CPG use cases such as promotional lift analysis, demand planning support, and retail execution across HeartlandFPG brands.
  • Develop prompts, configurations, and supporting logic according to prompt engineering and AI integration standards.
  • Integrate AI platforms with enterprise data sources while respecting governed data access controls.
  • Document solution designs, configurations, and deployment steps to support maintainability and knowledge transfer.
  • Monitor deployed AI solutions for performance, reliability, and accuracy; troubleshoot and resolve issues.
  • Maintain and enhance existing AI solutions as business needs and platform capabilities evolve.
  • Integrate AI solutions with the enterprise data ecosystem, including ERP/SAP and Microsoft Fabric, in partnership with IT.
  • Support user onboarding, access provisioning, and training in coordination with AI Administration.
  • Participate in testing and validation of AI outputs under SOP-005 (AI Agent Output Review and Human Validation).
  • Work under the technical direction of the AI Architect and escalate architectural and security decisions as appropriate.
  • Partner with Functional Data Analysts to understand business requirements and deliver fit-for-purpose solutions.
  • Develop solutions that respect food-industry regulatory, labeling, and FDA compliance data requirements.
  • Ensure development complies with the Enterprise AI Usage Policy V1 and applicable data privacy and security standards.
  • Contribute to the AI tool inventory, reusable components, and best-practice documentation.
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