Manager, AI Solutions Engineer

Conagra Brands • Chicago, IL

2d • $107,000 - $156,000

About The Position

This role provides rigorous data analysis that influence business decisions and drives results to achieve the company’s growth objectives. The incumbent will work on a variety of high-visibility projects and will have the opportunity to apply advanced analytics, data modeling and machine learning concepts to collaborate cross-functionally to create recommendations and solutions to solve business challenges.

Requirements

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, Data Science, or a related quantitative field (or equivalent practical experience)
• 7+ years of experience building and deploying production-grade data science, machine learning, or AI-powered systems
• Proven experience owning solutions end-to-end from development through production deployment
• Strong programming skills in Python and at least one additional language (e.g., TypeScript/JavaScript, Java, or C#)
• Experience building and deploying containerized applications and APIs using modern cloud platforms (e.g., Azure, AWS, Kubernetes/AKS)
• Experience working with CI/CD pipelines (e.g., GitHub Actions, Azure DevOps) for building, testing, and deploying applications
• Strong applied machine learning experience, including model validation, monitoring, and maintaining performance in production environments
• Experience with LLM-based systems, including retrieval (RAG), agentic workflows, or prompt-based applications, with an emphasis on reliability and evaluation
• Strong API design and system integration skills, including building and operating production APIs
• Experience working with large-scale data systems (e.g., Databricks, Spark, Snowflake)
• Familiarity with embeddings and vector or hybrid search (e.g., Azure AI Search, Elasticsearch, OpenSearch, FAISS, Pinecone)
• Experience building lightweight user interfaces or integrating AI solutions into business-facing applications
• Strong problem-solving skills, communication, and ability to work cross-functionally with technical and business stakeholders

Responsibilities

• Design, build, and deploy production-grade AI/ML applications and services that deliver measurable business impact, including APIs, agentic workflows, and integrated decision systems
• Own solutions end-to-end from problem framing → model development → application integration → production deployment
• Develop and deploy machine learning models, LLM-powered workflows, and optimization solutions, ensuring they are reliable, scalable, and production-ready
• Design, containerize, and deploy services using modern cloud-native patterns (e.g., Docker, Kubernetes/AKS), exposing models and workflows via APIs for downstream consumption
• Build application-layer solutions and lightweight user interfaces (e.g., APIs, internal tools, or simple front-end experiences) that integrate AI outputs into business workflows
• Collaborate with Data Engineering, Platform Engineering, and IT to ensure solutions align with enterprise deployment patterns, CI/CD pipelines, and operational standards
• Help establish and evolve ML engineering and application development practices, including model lifecycle management, observability, testing, and production monitoring
• Apply strong software engineering practices to write clean, maintainable, and scalable code across services and applications
• Drive architectural decisions and contribute to engineering standards for AI-enabled applications across the team
• Translate complex technical systems into clear business outcomes and partner with stakeholders to ensure solutions are adopted and drive measurable impact
• Continuously deliver high-quality solutions with a focus on speed, reliability, and business value
• Stay current with advancements in applied AI, LLM tooling, and cloud-native development, adopting approaches that improve real-world outcomes

Benefits

• Health: Comprehensive healthcare plans, wellness incentive program, mental wellbeing support and fitness reimbursement
• Wealth: Great 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 (subject to your location and role) and volunteer opportunities

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees