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Ai Alignment Jobs in Minnesota (NOW HIRING)

Artius Solutions

AI Product Manager

Chanhassen, MN · On-site

Define and manage the AI product roadmap aligned with business goals and priorities. * Partner with stakeholders to identify AI/ML use cases that solve real customer problems. * Collaborate with data ...

Digital Links Inc

AI/ML Engineer

Minneapolis, MN · On-site

The ideal candidate should be capable of independently delivering scalable AI systems aligned with business use cases. Must-Have Skills (Non-Negotiable) 1. Core AI/ML Engineering Strong proficiency ...

Jobtailor

Data & AI Product Owner

Minneapolis, MN · On-site

$120 - $170/hr

* Define and communicate the vision, goals, and success metrics for data products and AI products in alignment with Mortenson's Data & AI strategy. * Maintain and prioritize the product backlog(s ...

Programmers.io

AI Program Lead

Minneapolis, MN · On-site

... alignment across: o AI DLC o Quality Engineering (AIQE) o App Ops / Observability · Own development of: o Solution architecture o Delivery roadmap o Execution model · Coordinate and manage: o ...

Blank Metal Inc

AI Engineer

Minneapolis, MN · On-site

$108K - $146K/yr

Outcome-driven model: our projects align with client success, not billable hours * AI-native culture: you'll work with peers who deeply understand modern AI's potential and limits * Real ...

FAVARH

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

Review and approve AI solution designs to ensure alignment with security, privacy, and resilience requirements * Design controls for secure data pipelines, secure model storage, controlled model ...

Voya Financial

AI Security Architect

Minneapolis, MN · On-site

$67.75 - $87.75/hr

... aligned with enterprise security architecture and compliance requirements • Ensure secure use of generative AI, large language models (LLMs), and third‑party AI services through policy, technical ...

U.S. Bank

Head of AI Delivery

Minneapolis, MN · On-site

$221K/yr

Head of AI Solutions This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise ...

US Bank

Head of AI Delivery

Minneapolis, MN · On-site

$221K/yr

Head of AI Solutions This role operates across innovation, execution, governance, and transformation to ensure AI solutions align with Responsible AI principles, regulatory expectations, enterprise ...

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Ai Alignment information

What is AI alignment?

AI alignment refers to the process of ensuring that artificial intelligence systems act in ways that are aligned with human values, intentions, and ethical standards. This field focuses on designing AI models that not only achieve their objectives but also do so safely and beneficially for humanity. As AI systems become more advanced, alignment becomes increasingly important to prevent unintended consequences or harmful behaviors. Researchers in AI alignment work on technical solutions, such as value learning and interpretability, as well as broader ethical and policy considerations.

What are some common challenges faced by professionals working in AI alignment roles?

Professionals in AI alignment roles often encounter the challenge of translating complex ethical principles and human values into machine-understandable objectives. Balancing technical constraints with theoretical considerations requires close collaboration with cross-functional teams, including ethicists, engineers, and product managers. Additionally, the rapidly evolving landscape of artificial intelligence demands continuous learning to stay current with new alignment techniques and research findings. Navigating these challenges can be intellectually stimulating and offers significant opportunities for interdisciplinary growth.

What are the key skills and qualifications needed to thrive as an AI alignment specialist, and why are they important?

To thrive as an AI Alignment Specialist, you need a strong background in computer science, mathematics, and machine learning, often evidenced by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and formal verification systems is typically required, along with understanding of AI safety principles. Analytical thinking, ethical reasoning, and effective communication are crucial soft skills for success in this role. These skills ensure that AI systems are developed safely, ethically, and in alignment with human values, which is essential for mitigating risks associated with advanced AI.

What is the difference between Ai Alignment vs Data Scientist?

AspectAi AlignmentData Scientist
Required CredentialsAdvanced degrees in AI, Machine Learning, or related fieldsDegree in Data Science, Statistics, Computer Science, or related fields
Work EnvironmentResearch labs, AI development companies, tech firmsTech companies, finance, healthcare, consulting firms
Industry UsageFocuses on ensuring AI systems behave as intendedAnalyzes data to extract insights and build predictive models

While both roles involve advanced technical skills, Ai Alignment specialists focus on aligning AI systems with human values and safety, whereas Data Scientists analyze data to inform business decisions. The roles often overlap in AI research environments but serve different primary objectives.

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

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

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

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

What cities in Minnesota are hiring for Ai Alignment jobs?

Cities in Minnesota with the most Ai Alignment job openings:

Ai Alignment jobs near you
Infographic showing various Ai Alignment job openings in Minnesota as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, 3% Contract, and 1% Nights. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Director - AI Digital Biology

Mayo Career Site UK

Rochester, MN • On-site

$150 - $210/hr

Other

Posted 5 days ago

Job description

The Director - Artificial Intelligence (AI) leads the engineering and research team that builds and delivers Mayo Clinic DigPath's digital-biology technology platforms, accountable for translating the organization's vision into validated, deployed products. Working closely with the Vice President, Digital Biology, the Chief Medical Officer, and the Chief Science Officer, the Director helps shape technical direction and owns its execution—the roadmap, delivery, and technical quality for DigPath's core model and platform portfolio, including foundation and task-specific models, AI Virtual Cells, biological digital twins, and digital biomarker discovery. Directing a multidisciplinary team of AI/ML engineers, software developers, and research scientists, the Director turns clinical and scientific priorities into engineering execution - partnering with the CMO for clinical relevance and the CSO for scientific rigor - to consistently ship breakthrough tools with speed, technical excellence, and unwavering focus on Mayo Clinic's core value: the needs of the patient come first.

The Director partners closely with executive leaders, clinical and business stakeholders, and technical teams to ensure AI initiatives are aligned with enterprise strategy, governance expectations, and operational readiness. The role leads multidisciplinary teams across product, operations, and technology and serves as a key connector between strategy and execution.

Key Responsibilities
  • AI Strategy & Program Leadership: Lead development and execution of enterprise AI strategy and multi-year roadmaps aligned with organizational goals.
  • Portfolio Oversight: Oversee intake, prioritization, and sequencing of AI initiatives; balance value, feasibility, risk, and capacity across portfolios.
  • Cross‑Functional Leadership: Partner with clinical, operational, technical, legal, compliance, and data leaders to advance AI initiatives from concept through deployment.
  • Governance & Responsible AI: Ensure AI initiatives adhere to governance frameworks, ethical standards, regulatory requirements, and risk management practices.
  • Operational Enablement: Establish operating rhythms, performance metrics, and reporting mechanisms to track progress, outcomes, and value realization.
  • Stakeholder Engagement: Serve as a trusted advisor to senior leaders; communicate AI strategy, progress, and impact through executive‑level updates and presentations.
  • People & Team Leadership: Lead, develop, and support managers and senior professionals; foster a culture of accountability, collaboration, and continuous improvement.
  • Financial & Resource Stewardship: Support budget planning, resource allocation, and business case development for AI initiatives.
Core Competencies
  • Enterprise AI & Digital Strategy
  • Executive Presence & Influence
  • Change Leadership & Resilience
  • Ethical & Responsible AI Stewardship
  • Cross‑Functional Collaboration
  • Program & Portfolio Management

This is a hybrid position and incumbent must live within 100 miles of the Rochester, MN campus.
Mayo Clinic will not sponsor or transfer visas for this position including F1 OPT STEM.

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