Top 34 Principal software Jobs in Saint Michael, Mn

Principal Engineer - AI /ML Platform(Remote Or Hybrid)
Target —Brooklyn Park, MN
- $168,000 - $356,000 a year
- Full-time
- Remote
- Computer Science
- Travel
- Mentoring
- Paid holidays
- Disability insurance
14d
Principal Software Engineer (AI Platform & Full Stack Engineering) - Hybrid in MN
Optum —Minnetonka, MN
- $134,600 - $230,800 a year
- Full-time
- Hybrid work
- 6 years
- Computer Science
- Pass drug screening
Principal Engineer - Secure AI(Remote Or Hybrid)
Target —Brooklyn Park, MN
- $168,000 - $303,000 a year
- Full-time
- Remote
- Azure
- AWS
- Bachelor's degree
- Paid holidays
- Disability insurance
Principal Software Developer
Aspen Technology —Medina, MN
- $127,000 - $158,700 a year
- Full-time
- Azure
- Computer Science
- System design
- Health insurance
- Dental insurance
Principal Data Scientist - Remote
Optum —Minnetonka, MN
- $112,700 - $193,200 a year
- Full-time
- Hybrid work
- Pass drug screening
- System design
- Research
Principal Data Engineering - Remote
Optum —Minnetonka, MN
- $112,700 - $193,200 a year
- Full-time
- Hybrid work
- Azure
- Pass drug screening
- Office
Principal Data Engineer/Architect - Remote
Optum —Minnetonka, MN
- $112,700 - $193,200 a year
- Full-time
- Remote
- Computer science
- Computer Science
- 5 years
Senior Principal Cyber Security Specialist, Culture Lead
Medtronic —Mounds View, MN
- $170,400 - $255,600 a year
- Full-time
- Office
- 8 years
- Bachelor's degree
- Health savings account
- Employee stock purchase plan
5d
Principal Software Engineer (Corporate Systems)
Protolabs —Maple Plain, MN
- $131,500 - $197,300 a year
- Full-time
- Hybrid work
- Computer Science
- Research
- Office
- Health savings account
- Employee stock purchase plan
Quick Apply
Principal Site Reliability Engineer - Remote
Optum —Minnetonka, MN
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
Principal Engineer - Operational Technology
Target —Brooklyn Park, MN
- $168,000 - $303,000 a year
- Full-time
- Computer science
- Azure
- Computer Science
- Paid holidays
- Disability insurance
ServiceNow Principal Domain Architect - Remote
Sentara Hospitals —Osseo, MN
- $106,080.00 - $176,820.80 a year
- Overtime
- Remote
- Management
- Senior level
- AI
- 403(b) matching
- Paid parental leave
Quick Apply
Principal Software Cloud Engineer - Hybrid Cloud Platform Owner
Medtronic —Mounds View, MN
- $146,400 - $219,600 a year
- Full-time
- Azure
- Office
- 3 years
- Health savings account
- Employee stock purchase plan
Senior Principal Statistician
AtriCure —Minnetonka, MN
- Remote
- Background check
- Pass drug screening
- Doctor of Philosophy
- Paid parental leave
- Health insurance
Principal Architect - Remote
Optum —Plymouth, MN
- $134,600 - $230,800 a year
- Full-time
- Hybrid work
- Azure
- 5 years
- Pass drug screening
13d
Principal Systems Engineer (Enterprise scheduling & orchestration platforms )
U.S. Bank National Association —Hopkins, MN
- $119,765 - $140,900 a year
- Full-time
- 7 years
- Azure
- System design
- Paid holidays
- Disability insurance
8d
Sr Principal Project Management
Northrop Grumman —Plymouth, MN
- $101,400 - $176,300 a year
- Overtime
- System design
- Master's degree
- 8 years
- Paid holidays
- Disability insurance
Principal Firmware Engineer - Implantable Medical Devices
Enterra Medical, Inc. —Saint Louis Park, MN
- $130,000 - $160,000 a year
- Full-time
- Computer science
- 7 years
- Computer Science
Quick Apply
Principal Software Engineer- Machine Automation
IPG Photonics —Minneapolis, MN
- $127,347 - $168,735 a year
- Azure
- Computer Science
- System design
- Health savings account
- AD&D insurance
Quick Apply
Sr Principal IT Enterprise Architect - Digital Health & Product Innovation
Medtronic —Mounds View, MN
- $156,000 - $234,000 a year
- Full-time
- Azure
- ERP systems
- System design
- Health savings account
- Employee stock purchase plan
12h

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Principal Engineer - AI /ML Platform(Remote Or Hybrid)

Target -
Brooklyn Park, MN

Apply Now

Job Details

Full-time
$168,000 - $356,000 a year
14 days ago

Benefits

Paid holidays
Disability insurance
Health insurance
Dental insurance
Vision insurance
Employee discount
Life insurance
Paid sick time

Qualifications

AI models
Software engineering
Computer Science
Continuous Delivery (CD) implementation
Kubernetes
Tooling
Team leadership
Infrastructure as Code (IaC)
Enterprise software
IT vision strategy
Generative models
Mathematics
Application deployment
AI platforms (beyond public GPTs)
Scalable systems
Technology security practices
Enterprise software systems development
Infrastructure architecture design
Production systems
Machine learning cloud services
Cloud security best practices implementation
Model deployment
Master of Science
Terraform
Mentoring
Cloud Native Design
Scalability
Monitoring system implementation
Master's degree in mathematics
Model training

Full Job Description

The pay range is $168,000.00 - $356,000.00

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 https://corporate.target.com/careers/benefits.

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 at scale. Our 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.

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.

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 inference platforms
Experience with feature management, model governance, and responsible AI practices.
Familiarity with Generative AI platforms and infrastructure supporting foundation model workloads
Experience with Terraform, GitOps, service mesh technologies, and platform automation
Experience mentoring senior engineers and leading enterprise-scale modernization initiatives
Expertise designing Kubernetes-based platforms supporting AI and machine learning workloads
Strong understanding of software engineering best practices including CI/CD, infrastructure as code, observability, testing, and automation
Experience defining technical strategy, architectural standards and engineering best practices across multiple teams
Excellent communication and influencing skills with the ability to communicate complex technical concepts to engineering and business leaders

This position may be considered for a Remote or Hybrid (known internally at Target as "Flex for Your Day") work arrangement based on Target's needs. A Remote work arrangement means the team member works full-time from home or an alternate location that's not a Target location, does not have a desk at a Target location and may travel to HQ up to 4 times a year. A Hybrid/Flex for Your Day work arrangement means the team member's core role may be performed either remote or onsite at a Target location depending upon what your role, team and tasks require for that day. Work duties cannot be performed outside of the country of the primary work location, unless otherwise prescribed by Target.

Benefits Eligibility

Please paste this url into your preferred browser to learn about benefits eligibility for this role: https://tgt.biz/BenefitsForYou_F

Americans with Disabilities Act (ADA)

In compliance with state and federal laws, Target will make reasonable accommodations for applicants with disabilities. If a reasonable accommodation is needed to participate in the job application or interview process, please reach out to [email protected]. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.

Application deadline is : 08/20/2026

Apply Now

Refine Your Search

principal software jobs in saint michael, mn

Principal Engineer - AI /ML Platform(Remote Or Hybrid)

Principal Software Engineer (AI Platform & Full Stack Engineering) - Hybrid in MN

Principal Engineer - Secure AI(Remote Or Hybrid)

Principal Software Developer

Principal Data Scientist - Remote

Principal Data Engineering - Remote

Principal Data Engineer/Architect - Remote

Senior Principal Cyber Security Specialist, Culture Lead

Principal Software Engineer (Corporate Systems)

Principal Site Reliability Engineer - Remote

Principal Engineer - Operational Technology

ServiceNow Principal Domain Architect - Remote

Principal Software Cloud Engineer - Hybrid Cloud Platform Owner

Senior Principal Statistician

Principal Architect - Remote

Principal Systems Engineer (Enterprise scheduling & orchestration platforms )

Sr Principal Project Management

Principal Firmware Engineer - Implantable Medical Devices

Principal Software Engineer- Machine Automation

Sr Principal IT Enterprise Architect - Digital Health & Product Innovation

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