Demand Science AI Engineer at Conagra Brands orchestrating AI solutions and developing applications for business value. Collaborating across teams to enhance consumer demand, marketing strategy, and product development.
Responsibilities
Deliver agentic AI solutions by 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 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
Contribute to solution paths for both technical and business problems
Partner across IT and the business to support agile application development
Participate in all Agile ceremonies, including: planning, pointing, demos, and retros
Prioritize unit tests, both manual and automated, to ensure the highest code quality
Collaborate with the team on technical blueprints / designs to develop specific features / stories
Develop system integrations following established application integration architecture framework and standards
Requirements
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, backend data loads, and JavaScript
Experience working in a .NET enterprise environment and a proficient level understanding of OOP/SOLID principles
Familiarity and experience with agentic AI and concepts
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 DevOps
Experience using CI/CD pipelines
Experience with cloud infrastructure (Azure preferred)
Experience with cloud engineering concepts (serverless development, infrastructure as code, distributed computing)
Versed in Agile, Continuous Delivery, and DevOps methodologies
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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