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 our Instagram and TikTok channels!
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. You'll 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.
What's 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; I'm 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:
$120,100.00 - $150,100.00
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 candidate's 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 saving for the future, we offer plans tailored to meet you and your family's needs. Coverage for 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 a physical, social, emotional, and financial well-being lifestyle for our employees and their families.
You'll 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/Pension, Life, Accidental Death & Dismemberment, Disability, Discounted Perks

Location(s)
Toronto - Queen's Quay - Headquarters
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 [email protected] for assistance.