Staff Machine Learning Engineer GenAI

Job Description

Here at Kraft Heinz we grow our people to grow our business because we believe that great people make great companies. When you join our table you can expect access to an array of holistic wellness benefits* and perks DCPP VRSP and TFSA Business Resource Groups (BRGs) to help foster diversity inclusion and belonging for all employees and an industry-leading total rewards package that emphasizes a high discretionary bonus.

*Benefits begin immediately upon hire.

Get a peek into life here at Kraft Heinz through ourInstagramandTikTokchannels!

Staff Machine Learning Engineer - GenAI at a glance...

You will lead engineering for agentic domain-focused expert services on Kraft Heinz AI (KHAI). You will convert research notebooks and PoCs into production-grade low-latency microservices orchestrating LLMs with tools retrieval and enterprise data. Youll collaborate with the GenAI CoE product security and platform teams and partner with our Power Platform/Copilot Studio engineers where appropriate to deliver scalable automation and conversational experiences.

Whats on the menu

• Design & build GenAI microservices (REST /SDKs) with clear SLOs strong observability and multi-tenant controls; ensure seamless integration with KHAI and enterprise systems.

• Build Agentic AI workflows on Copilot Studio and work with Power Platform engineers to integrate KHAI agent services into enterprise workflows and enable scalable automation.

• Productionize models & agents: harden PoCs into resilient components (retry/idempotency versioning circuit breakers fallbacks canary/blue-green) with CI/CD for both code and models.

• Engineer agentic workflows: tool use retrieval (RAG) memory planning and policy/guard layers to deliver task-level outcomes rather than single-step responses.

• Optimize for latency throughput and cost: profile/model batching async I/O caching vector I/O and right-sizing CPU/GPU to meet experience and unit-economics targets.

• Build ML pipelines: automate data prep training evaluation packaging and deployment; integrate with feature stores model registries and inference gateways.

• Integrate with Microsoft ecosystem: collaborate with Copilot Studio/Power Platform teams to connect KHAI agent services with conversational bots and workflow automations.

• Quality & testing: establish golden datasets prompt/model eval harnesses unit/contract/integration/perf tests and regression gates (quality drift bias).

Recipe for Success - apply now if this sounds like you!

• I have 8 years in software engineering including 4 years building and operating ML/AI applications or microservices in production.

• I have strong Python and software fundamentals (design patterns testing performance profiling).

• I have experience shipping RESTful/gRPC services at scale.

• I have a proven record taking models from prototype to production (feature stores model registries packaging inference patterns/batching).

• I have a solid grasp of the ML lifecycle: data prep training evaluation deployment and monitoring (quality drift bias) with incident response.

• I am cloud fluent (Azure preferred; AWS/GCP welcome) across compute storage networking and AI/ML services.

• I have experience in containers & orchestration (Docker Kubernetes) and CI/CD for both code and models.

• I have excellent communication and stakeholder skills; Im able to influence across DS product platform security and business teams.

Please note: This job positing is just a preview of the full scope of the position. A comprehensive job description will be shared.

We hope to find you a seat at our table!

Our Total Rewards philosophy is to provide a meaningful and flexible spectrum of programs that equitably support our diverse workforce and their families and complement Kraft Heinz strategy and values.

New Hire Base Salary Range:

Bonus: This position is eligible for a performance-based bonus as provided by the plan terms and governing documents.

The compensation offered will take into account internal equity and may vary depending on the candidates geographic region job-related knowledge skills and experience among other factors

Benefits: Coverage for employees (and their eligible dependents) through affordable access to healthcare protection and savingfor the future we offer plans tailored to meet you and your familys needs. Coveragefor benefits will be in accordance with the terms and conditions of the applicable plans and associated governing plan documents.

Wellbeing: We offer events resources and learning opportunities that inspire aphysical social emotional and financial well-being lifestyle for our employees and their families.

Youll be able to participate in a variety of benefits and wellbeing programs that may vary by role country region union status and other employment status factors for example:

• Physical - Medical Prescription Drug Dental Vision Screenings/Assessments

• Social - Paid Time Off Company Holidays Leave of Absence Flexible Work Arrangements Recognition Training

• Emotional Employee Family Assistance Program Wellbeing Programs Family Support Programs

• Financial -Savings/PensionLife Accidental Death & Dismemberment Disability Discounted Perks

Location(s)

Kraft Heinz is an Equal Opportunity Employer Underrepresented Ethnic Minority Groups/Women/Veterans/Individuals with Disabilities/Sexual Orientation/Gender Identity and other protected classes.In order to ensure reasonable accommodation for protected individuals applicants that require accommodation in the job application process may contact for assistance.