Principal Engineer - AI​/ML Platform

Principal Engineer - AI /ML Platform Skip to main content#Principal Engineer - AI /ML Platform page is loaded## Principal Engineer - AI /ML Platform Apply remote type:
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7000 Target Pkwy N,NCD-0375 Brooklyn Park,MN 55445:
100 Mathilda Place,Ste 100 Sunnyvale,CA time type:
Full time posted on:
Posted Todayjob requisition :
RThe pay range is $ - $Pay is based on several factors which vary based on position. These include labor markets and in some instances may include education, work experience and certifications. In addition to your pay, Target cares about and invests in you as a team member, so that you can take care of yourself and your family. Target offers eligible team members and their dependents comprehensive health benefits and programs, which may include medical, vision, dental, life insurance and more, to help you and your family take care of your whole selves.

Other benefits for eligible team members include 401(k), employee discount, short term disability, long term disability, paid sick leave, paid national holidays, and paid vacation. Find competitive benefits from financial and education to well-being and beyond at
** PRINCIPAL ENGINEER – AI PLATFORMS
**** About Us
** Working at Target means helping all families discover the joy of everyday life. We bring that vision to life through our values and culture. Learn more about Target here.

Target's AI Platform organization is building the next generation of enterprise AI capabilities that enable teams to develop, deploy, govern, and operate Machine Learning and Generative AI solutions  platform powers AI innovation across the enterprise by providing secure, scalable, and reusable capabilities that accelerate development while maintaining enterprise standards for reliability, governance, and operational excellence.

As a Principal Engineer – ML Operations Platform, you will provide technical leadership in defining the architecture and evolution of our enterprise machine learning platform. You will work across engineering, data science, infrastructure, security, and product organizations to establish scalable patterns for developing, deploying, monitoring, and governing machine learning systems throughout their lifecycle.

This role is ideal for a technology leader who enjoys solving complex platform challenges, influencing engineering strategy, and building capabilities that enable hundreds of engineers and data scientists to deliver AI solutions efficiently and safely.
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* About the Role:

** As a Principal Engineer, you will define the long-term architecture and technical direction for Target's ML Operations Platform. You will establish enterprise-wide standards for machine learning lifecycle management, deployment, governance, observability, and operational excellence while partnering with cross-functional engineering teams to modernize AI platform capabilities. You will influence architecture across multiple organizations, mentor senior engineers, evaluate emerging technologies, and guide strategic platform investments that improve developer productivity and accelerate AI adoption.

Key responsibilities include:

* Define the long-term technical strategy and architecture for the enterprise ML Operations Platform.
* Design scalable, secure, and resilient cloud-native platforms supporting machine learning workloads.
* Establish best practices for model development, deployment, monitoring, and lifecycle management.
* Lead architecture for enterprise machine learning infrastructure supporting batch, streaming, and real-time inference.
* Drive adoption of cloud-native technologies, Kubernetes, and modern platform engineering practices.
* Define standards for model governance, observability, reliability, explainability, and responsible AI.
* Partner with infrastructure, security, and engineering teams to improve platform scalability, performance, and operational efficiency.
* Evaluate emerging technologies and recommend architectural approaches that improve platform capabilities.
* Mentor engineers and influence technical direction across multiple engineering organizations.

Core responsibilities of this job are articulated within this job description. Job duties may change at any time due to business needs.
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* About You:

*** MS in Computer Science, Engineering, Mathematics, or related technical field with relevant software engineering experience
* Extensive experience designing and delivering large-scale cloud-native platforms or distributed systems
* Deep experience building and operating enterprise machine learning platforms and MLOps capabilities
* Strong understanding of machine learning lifecycle management, deployment strategies, observability and production operations
* Demonstrated experience with machine learning platforms and tooling such as Vertex AI, Kubeflow, MLflow, and/or equivalent technologies
* Experience building developer platforms or internal platform products
* Experience with distributed training, GPU infrastructure, and large-scale…