Generative AI Engineer - Demand Science Portfolio

Reporting to the Director of Information Technology, you will join Conagra Brands as a Demand Science Generative AI Engineer, playing a key role in reinventing our culture and IT capabilities to deliver business value and support strategic goals. You will orchestrate AI solutions, develop applications, and explore emerging technologies to create best-in-class experiences on Conagra platforms. This hybrid role offers an exciting opportunity to collaborate across IT and business teams while driving innovation in consumer demand, marketing strategy, and product development.

• Deliver agentic AI solutions. Taking AI use cases and POCs from business teams and turning them into end user products
  - Orchestrating AI workflows and building cohesive end user experiences on Conagra platforms.
• Spend time between developing high quality software with internal and external teams to deliver against product features and stories
• Help determine product prioritization and technology roadmaps with development vendor resources and integration resources.
• Contribute to solution paths for both technical and business problems.
• Partner across IT and the business to support agile application development, Dev Ops with short-cycle iterations to deliver value.
• Participate in all Agile ceremonies, including: planning, pointing, demos, and retros
• Prioritize unit tests, both manual and automated, to ensure the highest code quality
• Contribute to the delivery pipeline using CI/CD best practices
• Collaborate with the team on technical blueprints / designs to develop specific features / stories
• Define enabling features to achieve a product's architectural roadmaps. Support the product manager and delivery manager in defining non-functional requirements for features.
• Develop system integrations following established application integration architecture framework and standards.
• Work with Business Analysts and Quality Assurance (QA) to ensure requirements are deliverable and testable.

• BS/BA or greater in Computer Science, Mathematics, Software Engineering, Computer Engineering, or a related field
• 2+ yrs. of related software development experience with Visual Studio, C#, Windows, MSSQL and backend data loads, and Java Script
• Experience working in a .NET enterprise environment and a proficient level understanding of OOP/SOLID principles.
• Familiarity and experience with agentic AI and concepts (orchestration, observability, Judging, MCP protocol, A2A)
• Experience With ML / Gen AI capabilities, LLM's, vector stores, text-to-speech etc.
• Experience working in an environment with big data (Databricks / snowflake, Data warehousing)
• Experience using Git and Azure Dev Ops, understanding of one-branch or trunk-based development
• Experience using CI/CD pipelines
• Experience with cloud infrastructure (Azure preferred) including Kubernetes, having experience with IaC and Terraform a plus
• Experience with cloud engineering concepts (serverless development, infrastructure as code, distributed computing)
• Versed in Agile, Continuous Delivery, and Dev Ops methodologies
• Experience using various unit testing frameworks
• Demonstrated individual and team success using agile methodologies to deliver
• Ability to work 3 days per week onsite (Tues, Weds & Thurs)

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#LI-Hybrid

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Pay Range:$72,500-$107,000

The annual salary listed above is the expected offering for this position. An employee’s actual annual salary will be based on but not limited to: location, relevant experience/level and skillset, while balancing internal Conagra employees’ equity. Conagra Brands will comply with applicable law regarding minimum salaries for exempt employees.

We care about your total well-being and will support you with the following, subject to your location and role:

• Health:
  Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: G reat pay, bonus incentive opportunity, matching 401(k) and stock purchase plan
• Growth:
  Career development opportunities, employee resource groups, on-demand learning and tuition reimbursement
• Balance:
  Paid-time off, parental leave, flexible work-schedules…