Senior Manager, AI Engineering

The Kraft Heinz Company • Chicago, IL

4d • $120,800 - $151,000 • Onsite

About The Position

This role involves guiding a team that builds and deploys enterprise Generative AI (GenAI) and Agentic solutions, while owning the stakeholder relationships for their delivery. The position requires solving ambiguous, enterprise-scale AI problems, including selecting models and patterns across GenAI, resolving integration challenges, and closing architecture gaps, risks, and dependencies. This is achieved through partnership with business and technology leaders to build tools and capabilities that generate value across the enterprise.

Requirements

• A Master’s degree in computer science, Engineering, Information Technology or a related field (or a Bachelor's degree with equivalent professional experience).
• Years of relevant experience in AI/ML, software or solution architecture, or technical leadership, including experience leading and/or mentoring engineers.
• Hands-on experience building and deploying GenAI solutions such as chatbots and agents on a major cloud platform (preferably Microsoft Azure).
• A proven ability to translate business requirements into technical design documents and system configurations.
• Working expertise with LLMs, RAG, prompt and context engineering, and agentic workflows, LangGraph, grounded in evals and error analysis.
• Strong software-engineering fundamentals and the judgment to make sound trade-offs across cost, scalability, reliability, security and privacy.
• Excellent stakeholder-management and communication skills, with the ability to influence and bridge technical and business audiences.

Responsibilities

• Lead, coach and develop a team of AI engineers delivering GenAI solutions; set engineering standards, priorities and delivery expectations, and manage performance and career growth.
• Own the AI engineering strategy and roadmap across more than one business unit and function, aligning delivery with enterprise objectives.
• Partner with Business and Product owners, AI Architects, Data Architects, Data Stewards, Data Engineers, ML Engineering, Full-Stack Developers and Enterprise Architecture to ensure end-to-end alignment.
• Translate business requirements into system architecture, solution flows and configuration specifications.
• Recommend architecture patterns, reusable components and model-selection strategies across GenAI (LLMs, RAG, agentic workflows, context engineering), balancing cost, latency, accuracy, reliability, security and privacy.
• Drive disciplined evaluation and error-analysis loops and Responsible AI practices to keep non-deterministic systems predictable and trustworthy.
• Identify architecture gaps, risks and dependencies early and propose mitigation strategies for ambiguous, enterprise-scale problems.
• Represent AI engineering to senior and executive leaders (Directors, VPs); communicate progress, trade-offs and risks, and act as the decision maker on architecture, model selection and delivery within enterprise standards and guardrails.

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• 7% 401(k) matching
• Business Resource Groups (BRGs)
• Industry-leading total rewards package
• High discretionary bonus
• Performance-based bonus
• Affordable access to healthcare
• Protection plans
• Savings for the future
• Events, resources, and learning opportunities for physical, social, emotional, and financial well-being
• Paid Time Off
• Company Holidays
• Leave of Absence
• Flexible Work Arrangements
• Recognition
• Training
• Employee Assistance Program
• Wellbeing Programs
• Family Support Programs
• Life insurance
• Accidental Death & Dismemberment insurance
• Disability insurance

What This Job Offers

• Job Type: Full-time
• Career Level: Manager