AI Engineer Lead at Orica managing and optimizing AI models and datasets while mentoring engineers. Bridging R&D, Engineering, and Data Platforms in a collaborative environment.
About the role
- 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)
Benefits
- Comprehensive healthcare plans
- Wellness incentive program
- Mental wellbeing support
- Fitness reimbursement
- Bonus incentive opportunity
- Matching 401(k)
- Stock purchase plan
- Career development opportunities
- Employee resource groups
- On-demand learning
- Tuition reimbursement
- Paid-time off
- Parental leave
- Flexible work-schedules
- Volunteer opportunities
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