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Director Artificial Intelligence Testing Jobs in Kansas

BOOZ, ALLEN & HAMILTON, INC.

KS · On-site

$61K - $141K/yr

Support the HICOM in interpreting and applying exercise director guidance, ensuring all actions and ... As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with ...

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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 Kansas? The most popular types of Artificial Intelligence Testing jobs in Kansas are:
What cities in Kansas are hiring for Director Artificial Intelligence Testing jobs? Cities in Kansas with the most Director Artificial Intelligence Testing job openings:
Director Artificial Intelligence Testing jobs near you

Director Artificial Intelligence

ORANGE EV LLC

Kansas City, KS • On-site

Full-time

Re-posted 14 days ago

Job description

Join Orange EV, a fast-growing manufacturer of electric vehicles that are better for the earth, people and the bottom line. Make a difference for the world as part of a company leading the electric vehicle revolution.

Position Summary

Orange EV is a technology-forward OEM seeking a Director of Artificial Intelligence to serve as the company's AI authority and strategic enabler. This is a role reporting directly to the CEO, designed to ensure our internal leaders can move quickly and confidently with AI — while protecting the company's data, systems, reputation, and competitive position. This is not a role built primarily around building a large team or running large-scale engineering projects. It is a role built around enabling speed with guardrails — empowering every business function to leverage AI effectively, responsibly, and in alignment with company strategy. As the company grows, limited supervisory responsibilities may develop, but the core mission is always to make the business faster and smarter, safely.

The Opportunity

This is a rare opportunity to shape how a growing, technology-driven OEM harnesses AI across its entire enterprise. You will work at the intersection of strategy, operations, and technology — with direct access to the CEO and the ability to influence how the company competes and grows. Specifically, you will:

  • Define the AI governance framework that gives business leaders the confidence to move fast without undue risk
  • Be the trusted advisor who translates AI possibilities into practical, high-impact business decisions
  • Operate as a hands-on strategist — more architect and guide than manager
  • Build the foundation of an AI-capable culture in a company with the technical DNA to embrace it


Position Responsibilities

AI Strategy & Governance

  • Develop and own the company-wide AI strategy, roadmap, and governance framework — aligned to business objectives and the realities of an OEM operating environment
  • Establish clear AI policies, guardrails, and decision-making frameworks that enable internal leaders to move fast while protecting company data, IP, and regulatory standing
  • Define acceptable use standards for AI tools, platforms, and third-party integrations across all departments
  • Advise the CEO and executive team on AI trends, risk, and competitive implications specific to OEM and manufacturing-adjacent sectors

Enablement & Implementation

  • Partner with department heads across engineering, operations, supply chain, sales, finance, and HR to identify and prioritize high-value AI use cases
  • Lead the total Orange EV Team in an ongoing effort to begin to implement AI Vibe Coding projects that have ROI
  • Lead evaluation and selection of AI tools, platforms, and vendors — ensuring fit, security, and scalability
  • Guide proof-of-concept initiatives through to scaled deployment, ensuring business outcomes are realized and documented
  • Serve as the primary point of escalation when AI projects surface compliance, data privacy, or ethical concerns

Internal Capability & Culture

  • Design and deliver AI literacy programs to help business leaders understand what AI can and cannot do — and how to use it responsibly
  • Translate complex AI concepts into plain-language guidance that non-technical leaders can act on confidently
  • Champion responsible AI practices across the organization, building trust in AI outputs and processes
  • May supervise a small team of AI-focused staff as the company's AI program matures; initial scope is individual contributor with strategic influence


Position Qualifications

  • 5+ years of progressive experience in AI strategy, data science, machine learning, or enterprise technology leadership
  • Demonstrated success designing and implementing AI governance frameworks, acceptable use policies, or enterprise AI risk management programs
  • Strong business acumen — able to tie AI decisions directly to operational outcomes, margin, compliance, and competitive positioning
  • Proven ability to enable and guide non-technical business leaders through AI adoption, not just oversee technical builds
  • Experience operating effectively as an individual contributor with executive-level influence in a fast-moving, resource-conscious organization
  • Exceptional communication skills — able to simplify complex AI topics for a CEO, a plant manager, and a legal team equally


Ideal Candidates Will Also Have

  • Background in OEM, manufacturing, engineered products, or technology-intensive product companies
  • Familiarity with ERP platforms, PLM systems, supply chain software, or industrial data environments
  • Experience with AI regulatory and compliance topics including data privacy (GDPR, CCPA), export controls, or product liability considerations relevant to manufactured goods
  • Exposure to responsible AI standards, AI ethics frameworks, or enterprise AI audit practices
  • Advanced degree in Computer Science, Data Science, Engineering, or equivalent experience in a technology-forward industry environment


What Success Looks Like

In the first 90 days:

  • Complete AI readiness and risk assessment across all major business functions
  • Draft a foundational AI Acceptable Use Policy and governance framework for executive review
  • Identify the top 3–5 AI opportunities with the highest near-term business impact and lowest governance risk
  • Complete the implementation of AI Vibe Coding project within 10 weeks


In year one:

  • Governance framework is adopted and actively used by internal leaders as a decision-making tool, not a bottleneck
  • At least three AI initiatives are live, with documented ROI or operational improvement
  • Improve the efficiency of Orange EV within 6 months through the implementation of AI Vibe Coding
  • Department leaders describe the Director of AI as a trusted partner who helps them move faster — not a gatekeeper who slows them down


Orange EV is an Equal Opportunity Employers and seek diversity in candidates for employment.

EEO Employer W/M/Vet/Disabled/Sexual Orientation/Gender Identity