ZipRecruiter

Log In

1

Director Artificial Intelligence Testing Jobs in Minnesota

D.W. Simpson

Director, Actuary - Hybrid

Minneapolis, MN · On-site

$234K/yr

Growing Life client is seeking a Director - Actuary, with a focus on financial risk management and ... artificial intelligence tools & resources. The ideal candidate will be an FSA with 11+ years of ...

Actalent

R&D Engineer

Maple Grove, MN

$105K - $150K/yr

Plan and execute bench testing, hydrodynamic testing, and preclinical evaluations * Develop and ... Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of ...

next page

Showing results 1-20

All JobsArtificial Intelligence Testing JobsDirector Artificial Intelligence Testing JobsDirector Artificial Intelligence Testing Jobs in Minnesota

Director Artificial Intelligence Testing information

What are the common challenges faced by a director of artificial intelligence testing, and how can they be addressed?

A Director of Artificial Intelligence Testing often faces challenges such as ensuring the reliability and fairness of AI models, keeping up with rapidly evolving technologies, and managing cross-functional teams with diverse expertise. Addressing these challenges requires a strong framework for continuous testing, effective communication across data science, engineering, and QA teams, and staying updated on the latest AI validation tools and best practices. Proactively fostering a collaborative culture and investing in ongoing staff development can also help mitigate risks and drive successful AI deployments.

What does a director of artificial intelligence testing do?

A Director of Artificial Intelligence (AI) Testing oversees the development, implementation, and management of strategies to test and validate AI systems. This role ensures that AI models and solutions are reliable, ethical, and perform as intended before deployment. Responsibilities include leading teams of testers and engineers, establishing testing protocols, identifying potential biases, and ensuring compliance with regulations. The director also collaborates with other departments to integrate quality assurance throughout the AI development lifecycle.

What are the key skills and qualifications needed to thrive as a director of artificial intelligence testing?

To thrive as a Director of Artificial Intelligence Testing, you need deep expertise in AI/ML concepts, test methodologies, and a strong background in computer science or a related field, often supported by advanced degrees. Familiarity with AI testing tools, automation frameworks, and experience with cloud platforms and regulatory compliance systems is essential. Exceptional leadership, strategic thinking, and communication skills enable effective team management and stakeholder collaboration. These skills ensure robust AI system validation, risk mitigation, and the delivery of reliable, ethical AI solutions.
What are the most commonly searched types of Artificial Intelligence Testing jobs in Minnesota? The most popular types of Artificial Intelligence Testing jobs in Minnesota are:
Director Artificial Intelligence Testing jobs near you

Director, Artificial Intelligence (AI)

Ametek

Eden Prairie, MN

Full-time

Posted 29 days ago

AMETEK rating

7.6

Company rating: 7.6 out of 10

Based on 44 frontline employees who took The Breakroom Quiz

82nd of 156 rated electronics manufacturers

Job description

The Director, Artificial Intelligence (AI), will own and deliver the division's AI-driven value creation agenda. This leader is accountable for identifying, prioritizing, deploying, and scaling AI initiatives that drive measurable revenue growth, margin expansion, productivity improvement, and compliance strength. 

POSITION RESPONSIBILITIES: 

Financial Impact Ownership

  • Deliver defined annual AI-driven EBITDA improvement targets.
  • Build and manage a prioritized AI value portfolio aligned with division strategy.
  • Allocate AI-related investment within approved capital envelope based on ROI and risk.
  • Present AI value creation progress during division operating reviews.
  • Kill, pivot, or scale initiatives based on measurable performance thresholds.

Growth & Commercial Enablement

  • Identify AI-enabled revenue growth opportunities (pricing optimization, product differentiation, service models, installed base monetization).
  • Partner with commercial and product leaders to embed AI into customer-facing workflows.
  • Support development of AI-enabled products and digital service offerings.

Operational Margin Expansion

  • Lead deployment of AI-enabled workflow automation and process redesign across operations and SG&A.
  • Reduce cycle time, scrap, rework, inventory, and administrative inefficiencies.
  • Standardize and scale proven AI use cases across business units.
  • Ensure AI adoption translates into sustained operating discipline.

Governance, Risk & Compliance

  • Ensure all AI initiatives comply with enterprise AI governance, cybersecurity, data privacy, and regulatory standards.
  • Monitor AI solution reliability, performance, and risk exposure.
  • Serve as the division escalation point for AI-related risk and compliance matters.
  • Align divisional initiatives with broader enterprise architecture and platform strategy.

Organizational Capability & Adoption

  • Build AI literacy across division leadership, managers, and high-potential talent.
  • Translate AI concepts into practical operating behaviors for commercial, operations, and functional teams.
  • Establish adoption standards and accountability mechanisms tied to measurable outcomes.
  • Develop a network of functional AI champions within the division.
  • Embed AI-enabled decision-making into operating rhythms (forecasting, pricing reviews, production planning, customer engagement).

External Partnerships & Vendor Leverage

  • Identify and evaluate external AI technology partners aligned with divisional value priorities.
  • Structure pilots and commercial agreements to accelerate time-to-value while minimizing risk.
  • Define performance expectations and scalability requirements tied to business outcomes.
  • Rationalize vendor landscape to avoid redundant platforms and fragmented solutions.
  • Ensure third-party tools integrate with enterprise governance and architectural standards.


REQUIREMENTS:

Required Experience

  • 7+ years in business leadership, operations, product management, analytics, or technology-enabled transformation
  • Demonstrated ownership of financial outcomes (revenue growth, cost reduction, margin expansion)
  • Experience prioritizing investments and managing tradeoffs under capital constraints
  • Proven ability to lead cross-functional initiatives and influence senior stakeholders
  • Working knowledge of AI, advanced analytics, and modern digital platforms

Preferred

  • Experience deploying AI or advanced analytics solutions in an enterprise setting
  • Experience working with external technology vendors and negotiating commercial terms
  • Exposure to industrial, manufacturing, or engineered product environments
  • Experience operating within enterprise governance frameworks. 

What AMETEK employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply