GenAI Engineering Lead for Enterprise Solutions

Kraft Heinz, Inc.

Chicago (IL)

On-site

USD 121,000 - 151,000

Full time

14 days+
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Benefits offered by this job

401(k) matching
Discretionary bonus
Healthcare coverage

Job summary

Kraft Heinz, Inc. is seeking a Senior Manager of AI Engineering in Chicago to guide a team delivering enterprise GenAI and agentic solutions. You will own stakeholder relationships, establish standards, and drive architecture decisions with business and technology leaders.

The role demands strong leadership, cloud experience, and strategic execution across multiple units. The position emphasizes Responsible AI practices, architecture pattern selection, and end-to-end delivery within enterprise

Qualifications

  • Master's degree in computer science, engineering, information technology or related field; or Bachelor's with equivalent experience.
  • Years of AI/ML, software or solution architecture, or technical leadership experience including mentoring engineers.
  • Hands-on GenAI deployment experience on a major cloud platform (preferably Azure).
  • Ability to translate business requirements into technical designs and configurations.
  • Proficiency with LLMs, RAG, prompt/context engineering and agentic workflows.

Responsibilities

  • Lead a team that builds and deploys enterprise GenAI and agentic solutions; own stakeholder relationships.
  • Set engineering standards, priorities, and delivery expectations; manage performance and career growth.
  • Define the AI engineering strategy and roadmap across multiple business units.
  • Collaborate with AI Architects, Data Engineers, and Product owners to align delivery with enterprise goals.

Skills

AI/ML leadership
GenAI
LangGraph
Stakeholder management

Education

Master's degree in CS/Engineering or related field

Tools

Microsoft Azure

Job description

Kraft Heinz, Inc. is seeking a Senior Manager of AI Engineering in Chicago to guide a team delivering enterprise GenAI and agentic solutions. You will own stakeholder relationships, establish standards, and drive architecture decisions with business and technology leaders.

The role demands strong leadership, cloud experience, and strategic execution across multiple units. The position emphasizes Responsible AI practices, architecture pattern selection, and end-to-end delivery within enterprise

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