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Masters In Artificial Intelligence Jobs in Kansas

Accenture

Full Stack Engineer Manager

Overland Park, KS

$94K - $293K/yr

Experience in Artificial Intelligence (AI), Large Language Model (LLM), or High-Performance Computing (HPC) * Strong proficiency in Linux, with a deep understanding of operating systems at the kernel ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Instacart

Have a graduate degree (masters or PhD) in artificial intelligence, machine learning, operations research or equivalent self study and experience * Have strong programming skills in Python and ...

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Masters In Artificial Intelligence information

Which 3 jobs will survive AI?

For a Masters in Artificial Intelligence, roles such as AI research scientist, machine learning engineer, and data scientist are likely to persist as they require advanced expertise, creativity, and problem-solving skills that are difficult for AI to fully replicate. These jobs involve designing, developing, and interpreting complex algorithms and models, often requiring domain-specific knowledge and critical thinking. Continuous learning and staying updated with new tools and techniques are essential for long-term career resilience in these fields.

What are the key skills and qualifications needed to thrive with a Master's in Artificial Intelligence, and why are they important?

To thrive with a Master's in Artificial Intelligence, you need a solid background in mathematics, programming (often Python), and machine learning principles, supported by an advanced degree in AI or a related field. Familiarity with tools such as TensorFlow, PyTorch, and cloud computing platforms, as well as knowledge of data analysis and visualization systems, is typically required. Strong problem-solving abilities, creativity, and effective communication skills help you design solutions and present technical concepts to diverse audiences. These competencies are crucial for developing innovative AI systems, collaborating across teams, and driving impactful technology projects.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as a senior AI researcher, machine learning director, or AI executive, often requiring advanced skills in deep learning, data science, and programming. These roles usually involve leadership, strategic planning, and extensive experience, and they may be found in large tech companies or specialized AI firms. Compensation at this level reflects significant expertise and responsibility in developing and deploying AI solutions.

How does earning a Master's in Artificial Intelligence impact opportunities for interdisciplinary collaboration in professional settings?

A Master's in Artificial Intelligence uniquely positions professionals to collaborate across diverse teams, including data scientists, software engineers, and domain experts in areas like healthcare, finance, or manufacturing. Graduates often find themselves bridging gaps between technical and non-technical stakeholders, translating complex AI concepts into actionable business solutions. This interdisciplinary environment enhances problem-solving skills and offers exposure to a wide range of real-world challenges, fostering both personal and career growth. Such collaboration is highly valued by employers, as it drives innovative solutions and helps integrate AI technologies into various industries.

Is a master's degree in AI worth it?

A master's degree in artificial intelligence can enhance job prospects for AI roles by providing advanced knowledge in machine learning, data analysis, and programming skills. It often leads to higher salaries and more specialized positions, but practical experience and skills in tools like Python and TensorFlow are also highly valued in the industry.

What is a Masters in Artificial Intelligence?

A Masters in Artificial Intelligence is a graduate-level degree program that focuses on teaching students advanced concepts and techniques in AI, including machine learning, deep learning, natural language processing, robotics, and data science. The program is designed to equip students with both theoretical knowledge and practical skills needed to develop intelligent systems and solve real-world problems using AI technologies. Graduates are prepared for careers in industries such as technology, healthcare, finance, and academia, or for pursuing further research in the field.

What is the average salary with an AI master's?

A master's in artificial intelligence typically leads to roles such as AI engineer or data scientist, with average salaries ranging from $90,000 to $130,000 annually in many regions. Salaries depend on experience, location, and specific skills like machine learning or programming languages such as Python.
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Masters In Artificial Intelligence jobs near you
Infographic showing various Masters In Artificial Intelligence job openings in Kansas as of July 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution.
Director Artificial Intelligence

Director Artificial Intelligence

ORANGE EV LLC

Kansas City, KS • On-site

Full-time

Posted 25 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