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Generative Ai Testing Jobs in Minnesota (NOW HIRING)

Accenture

Senior Data Scientist

Minneapolis, MN · On-site

... generative AI, agentic AI, and decision-science problem statements. * Perform exploratory data analysis, statistical analysis, hypothesis testing, experimental design, feature engineering, predictive ...

Genesys

You will drive innovation in Generative AI, lead the evolution toward agentic AI systems, and ... testing). * Lead end-to-end development from concept to production, ensuring robustness ...

Target

Senior AI Engineer - Circlecard

Minneapolis, MN · On-site

$98K - $176K/yr

You are equally comfortable designing distributed services and applying Generative AI technologies ... testing, peer reviews, and established software engineering practices. * Design and ...

Vizient

Director of Engineering

Minneapolis, MN

... testing, and observability. Lead the delivery of secure, scalable, cloud-native applications that leverage advanced analytics, machine learning, generative AI, and intelligent automation. Champion ...

M. A. Mortenson Company

AI Engineer

Minneapolis, MN · On-site

... testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock ... Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex)

Mortenson

AI Engineer

Minneapolis, MN · On-site

... testing, and deploying AI solutions that enhance decision-making, automate workflows, and unlock ... Experience with LLMs, multimodal models, or generative AI (eg. Azure AI Foundry, Google Vertex)

Mortenson

AI Intern

Minneapolis, MN · On-site

$18/hr

... testing AI agents and custom AI systems * Contribute to prompt engineering agent workflows, and ... vision, and generative AI * Document learning and contribute to internal knowledge sharing

M. A. Mortenson Company

AI Intern

Minneapolis, MN · On-site

$18/hr

... testing AI agents and custom AI systems * Contribute to prompt engineering agent workflows, and ... vision, and generative AI * Document learning and contribute to internal knowledge sharing

FAVARH

AI Principal Engineer

Minneapolis, MN · On-site +1

Establish and drive engineering best practices for model evaluation, validation, testing ... Experience building and supporting enterprise-scale generative AI solutions. * Experience with ...

Pwc

AI Engineer

Minneapolis, MN · On-site

$50K - $112K/yr

... Applying generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning ... testing, and adversarial benchmarking, to assess reasoning, tool-calling reliability, and output ...

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Generative Ai Testing information

What is the difference between Generative Ai Testing vs Data Scientist?

AspectGenerative Ai TestingData Scientist
Required CredentialsKnowledge of AI models, testing tools, programming skillsStatistics, programming, data analysis certifications
Work EnvironmentAI development teams, testing labs, tech companiesResearch labs, tech firms, finance, healthcare
Employer & Industry UsageAI product testing, quality assurance in techData analysis, predictive modeling across industries

Generative Ai Testing focuses on evaluating and validating AI-generated content and models, ensuring quality and accuracy. Data Scientists analyze data, build models, and derive insights. While both roles require programming and AI knowledge, Generative Ai Testing emphasizes testing processes, whereas Data Scientists focus on data analysis and model development.

How do I become a Generative AI Testing?

To become a Generative AI Tester, develop skills in machine learning, natural language processing, and programming languages like Python. Gain experience with AI frameworks such as TensorFlow or PyTorch and understand data quality and model evaluation techniques. Certifications in AI or data science can enhance your qualifications and improve job prospects.

Is Generative AI Testing a good career?

Generative AI Testing is a growing field within AI development that involves evaluating the quality and safety of AI-generated content. It requires skills in machine learning, programming, and understanding AI models, making it a promising career path with increasing demand as AI technologies expand. Professionals in this area can find opportunities in tech companies, research labs, and startups focused on AI innovation.

What are the key skills and qualifications needed to thrive as a generative AI testing specialist, and why are they important?

To thrive as a Generative AI Testing Specialist, you need a robust understanding of machine learning principles, model evaluation techniques, and a background in computer science or a related field. Familiarity with tools such as Python, TensorFlow, PyTorch, and model evaluation frameworks, as well as experience with automated testing platforms, is typically required. Analytical thinking, attention to detail, and strong communication skills help you identify model weaknesses and collaborate effectively with development teams. These skills are crucial to ensure the reliability, safety, and ethical deployment of generative AI solutions.

What are some common challenges faced when testing generative AI models, and how can I prepare to address them in this role?

Testing generative AI models often involves unique challenges such as evaluating the quality and relevance of generated content, detecting bias or inappropriate outputs, and ensuring model consistency across various prompts. You may work closely with data scientists and engineers to create robust evaluation frameworks and develop automated as well as manual testing strategies. Familiarity with prompt engineering, statistical evaluation techniques, and domain-specific knowledge will help you address these challenges effectively. Proactively staying updated on industry best practices and collaborating with cross-functional teams are key to success in this dynamic field.

What is generative AI testing?

Generative AI Testing refers to the process of evaluating and validating AI systems, particularly those that generate content such as text, images, or code. This type of testing focuses on assessing the accuracy, reliability, fairness, and safety of generative models to ensure they function as intended and avoid producing harmful or biased outputs. Testers use various methods, including automated and manual techniques, to check for issues like hallucinations, inappropriate content, or security vulnerabilities. The goal is to build trust in generative AI systems and ensure they meet quality and ethical standards before deployment.

What are popular job titles related to Generative Ai Testing jobs in Minnesota?

For Generative Ai Testing jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Generative Ai Testing jobs in Minnesota look for?

The top searched job categories for Generative Ai Testing jobs in Minnesota are:

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Cities in Minnesota with the most Generative Ai Testing job openings:

Generative Ai Testing jobs near you
Infographic showing various Generative Ai Testing job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 7% Part Time, 3% Contract, and 1% Nights. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution.

Principal Engineer - Application Security (SDLC, SAST, DAST, SCA, Threat Modeling, Pen Testing, DevS

Target Brands, Inc.

Brooklyn Park, MN • On-site

$168K - $303K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 4 days ago

Target rating

6.6

Company rating: 6.6 out of 10

Based on 6,987 frontline employees who took The Breakroom Quiz

14th of 39 rated national retailers

Job description

The pay range is $168,000.00 - $303,000.00
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.
JOIN TARGET AS A PRINCIPAL ENGINEER - APPLICATION SECURITY
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.
About the Role:
We are seeking a Principal Application Security Engineer to provide technical leadership for our enterprise Application Security program. This role is responsible for advancing secure development practices, integrating security into the software development lifecycle, and partnering with engineering teams to reduce application risk through scalable security solutions.
The ideal candidate combines deep technical expertise with strategic thinking, enables developers, scales security through automation, and influences engineering organizations without direct authority.
Application Security Expertise
  • Provide technical leadership across Secure Software Development Lifecycle (SSDLC), Static Application Security Testing (SAST), Dynamic Application Security Testing (DAST), Software Composition Analysis (SCA), Threat Modeling, and Penetration Testing.
  • Guide engineering teams in vulnerability remediation and secure coding best practices.
  • Evaluate emerging application security technologies, emerging risks, and recommend pragmatic, risk-based improvements to application security capabilities.
  • Partner with Security Architecture to ensure application security practices align with enterprise security standards and design principles.

Software Engineering and Automation
  • Design and build automation that integrates security seamlessly into CI/CD pipelines.
  • Develop tooling, APIs, and automation to improve developer experience and reduce manual effort.
  • Partner with platform engineering teams to implement security controls within modern development workflows.
  • Identify and implement opportunities to leverage AI and generative AI technologies to improve application security processes, automate repetitive tasks, enhance developer enablement, and accelerate vulnerability detection and remediation while ensuring responsible and secure use of AI.

Security Strategy and Program Leadership
  • Help define the technical roadmap for the Application Security program.
  • Develop strategies that scale security across a large engineering organization through automation, standardization, and self-service capabilities.
  • Champion developer enablement by creating security guidance, reusable frameworks, documentation, and training.
  • Establish and track metrics that measure program effectiveness and continuously improve security maturity.

Cross-Functional Collaboration
  • Influence technical decisions through collaboration and technical leadership rather than organizational authority.
  • Communicate security risks and recommendations effectively to technical and non-technical audiences.
  • Mentor engineers and promote security best practices across the organization.

Problem Solving and Technical Leadership
  • Solve complex application security challenges involving modern software architectures and cloud-native platforms.
  • Drive continuous improvement across security tooling, developer workflows, and vulnerability management processes.
  • Provide technical leadership during the investigation and remediation of significant application security issues.

Core responsibilities of this job are described within this job description.
Job duties may change at any time due to business needs.
About You:
  • BS/MS in Computer Science, Information Security, Engineering or equivalent industry work experience
  • 10+ years of experience in software engineering, application security or related security engineering roles
  • Demonstrated expertise across SSDLC, SAST, DAST, SCA, Threat Modeling, and Penetration Testing
  • Strong software development experience in one or more modern programming languages
  • Experience integrating security into modern CI/CD pipelines and DevSecOps workflows
  • Proven experience building and scaling Application Security programs across large engineering organizations
  • Experience leveraging AI and Generative AI technologies to improve engineering productivity, security operations, or software development workflows
  • Demonstrated ability to evaluate, implement, and govern AI-enabled solutions while considering security, privacy, and organizational risk
  • Excellent communication, collaboration, and stakeholder management skills
  • Demonstrated ability to influence technical direction across multiple teams
  • Experience securing cloud-native applications in AWS, Azure or Google Cloud
  • Experience with Kubernetes, containers, APIs, and microservices architectures
  • Experience developing custom security tooling or automation
  • Knowledge of modern software supply chain security practices
  • Industry certifications such as CISSP, CSSLP, GIAC, OSCP, or cloud security certifications a plus

This position will operate as a Hybrid/Flex for Your Day work arrangement based on Target's needs. A Hybrid/Flex for Your Day work arrangement means the team member's core role will need to be performed both onsite at the Target HQ MN location the role is assigned to and virtually, 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. Click here if you are curious to learn more about Minnesota.
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 candidate.accommodations@HRHelp.Target.com. Non-accommodation-related requests, such as application follow-ups or technical issues, will not be addressed through this channel.
Application deadline is : 09/10/2026

What Target employees say

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Benefits

Hours and flexibility

Workplace

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About Target

Sourced by ZipRecruiter

We're here to help all families discover the joy of everyday life. Target is a general merchandise retailer with stores in all 50 U.S. states and the District of Columbia. 75% of the U.S. population lives within 10 miles of a Target store. We employ 400,000+ Our tagline is "Expect More. Pay Less." We've been using it since 1994! The Target Corporation also owns Shipt and Roundel. More to love! Target is headquartered in Minneapolis, Minnesota, its hometown since the first Target store opened in 1962 under The Dayton Company.

Industry

Retail and scientific research and development services

Company size

10,000+ Employees

Headquarters location

Minneapolis, MN, US

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