Top 62 Cloud architects Jobs in Minnesota

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
10d
Sr. Principal Engineer
Horizontal Talent —Minneapolis, MN
- Azure
- System design
- Java
4d
DevOps Architect (Azure & IaC)
Emergent Software —Minneapolis, MN
- $160,000 - $190,000 a year
- Overtime
- Remote
- 8 years
- Mentoring
- Senior level
- Profit sharing
- Paid parental leave
Quick Apply
AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail
Amazon Web Services, Inc. —Minneapolis, MN
- $124,700 - $204,300 a year
- Full-time
- Math
- Travel
- Fair chance
- AD&D insurance
- Health insurance
Enterprise Cloud Architect
HealthPartners/GHI —Bloomington, MN
- $63.77 - $95.65 an hour
- Full-time
- Hybrid work
- System design
- HIPAA
- Research
- Health insurance
US Tech - AI Engineering Manager
PRICE WATERHOUSE COOPERS —Minneapolis, MN
- $73,500 - $244,000 a year
- Remote
- Azure
- DevOps
- System design
- Paid holidays
- Health insurance
Solutions Architect, Healthcare
Amazon Web Services, Inc. —Minneapolis, MN
- $124,700 - $177,600 a year
- Full-time
- System design
- HIPAA
- Travel
- AD&D insurance
- Health insurance
Senior Data Cloud Architect - SI Partners
Snowflake —Minnesota
- $165,000 - $288,750 a year
- Computer Science
- 5 years
- Bachelor of Science
- Health savings account
- Paid holidays
Azure Architect
Legence —Minneapolis, MN
- $130,000 - $180,000 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- 8 years
- AD&D insurance
- Disability insurance
Quick Apply
Staff Software Engineer, IoT Cloud
SmartThings —Minneapolis, MN
- $139,000 - $198,000 a year
- Email
- Hybrid work
- Computer Science
- Office
- Java
- Paid parental leave
- Health savings account
Quick Apply
Senior AI Cloud Architect
Robotics Technologies —Minneapolis, MN
- Computer science
- Azure
- Computer Science
Principle Solutions Architect , Healthcare & Life Sciences
Amazon Web Services, Inc. —Minneapolis, MN
- $182,800 - $272,000 a year
- Full-time
- Computer science
- Computer Science
- System design
- AD&D insurance
- Health insurance
Advanced AI Architect
Accenture —Minneapolis, MN
- $87,400 - $293,800 a year
- Full-time
- Hybrid work
- DevOps
- US work authorization
- Military encouraged
- Paid holidays
- Disability insurance
Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare
Amazon Web Services, Inc. —Minneapolis, MN
- $153,600 - $207,800 a year
- Full-time
- HIPAA
- 3 years
- Presentation skills
- AD&D insurance
- Health insurance
Enterprise Cloud Architect
Trbhi —Rochester, MN
- Email
- Quality control
- Mentoring
- Agile
Salesforce Data Cloud & AI Associate Architect
Accenture —Minneapolis, MN
- $68,300 - $218,800 a year
- Full-time
- Hybrid work
- Computer science
- Computer Science
- Mid-level
- Paid holidays
- Disability insurance
Senior Principal Cloud Architect
Tennant Company —Eden Prairie, MN
- $132,400 - $205,100 a year
- Azure
- Computer Science
- System design
- Disability insurance
- Health insurance
Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)
Accenture —Minneapolis, MN
- $87,400 - $266,300 a year
- Full-time
- Hybrid work
- Management
- Computer Science
- Mentoring
- Paid holidays
- Disability insurance
AI Native Transformation Enterprise Consultant
Accenture —Minneapolis, MN
- $59,100 - $196,000 a year
- Full-time
- Hybrid work
- Azure
- System design
- Analysis skills
- Paid holidays
- Disability insurance
Senior Serverless Architect (AWS)
Dev Technology —Minneapolis, MN
- $145,000 - $225,000 a year
- 7 years
- System design
- Research
- Paid training
- Commuter assistance

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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
10 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

cloud architects jobs in minnesota

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

Sr. Principal Engineer

DevOps Architect (Azure & IaC)

AI/ML Specialist Solutions Architect, Retail, AGS US Specialist SA, Retail

Enterprise Cloud Architect

US Tech - AI Engineering Manager

Solutions Architect, Healthcare

Senior Data Cloud Architect - SI Partners

Azure Architect

Staff Software Engineer, IoT Cloud

Senior AI Cloud Architect

Principle Solutions Architect , Healthcare & Life Sciences

Advanced AI Architect

Sr. Solutions Architect, HCLS AI/ML and Data Strategy Specialists, Global Healthcare

Enterprise Cloud Architect

Salesforce Data Cloud & AI Associate Architect

Senior Principal Cloud Architect

Salesforce Data Cloud & AI Tech Architect (Tech Architecture/Solution Architecture)

AI Native Transformation Enterprise Consultant

Senior Serverless Architect (AWS)

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