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Ai Manager Jobs in Arizona (NOW HIRING)

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

AI MANAGER Location: Tucson, AZ Duration: 12+ Months Visa: USC, GC, H1B and EAD Contract Type: W2 This position manages a team of five AI professionals responsible for designing, developing, and ...

Deloitte

Oracle Gen AI Manager

Tempe, AZ

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Deloitte

Finance Analytics & AI Manager

Tempe, AZ

Work you'll do As a Finance Analytics & AI Manager on the Finance Transformation team, you'll work with the best in the business to solve the toughest client problems. From learning to leadership ...

Trico Electric Cooperative

Manager IT/ AI

Marana, AZ · On-site

$105K - $130K/yr

Join Our Team as a Manager, IT & AI at Trico Electric Cooperative! Posting Period: Thursday July 9th - Until Filled Annual Salary: $105,000 - $130,000 DOE Cooperative Expectations We are committed to ...

Globe Telecom, Inc.

AI Transformation Manager

Globe, AZ · On-site

Identify opportunities to connect multiple AI capabilities into broader business solutions. 3. Program & Initiative Management * Coordinate the delivery of AI initiatives across Business, Technology ...

ClifyX

AI Solution Product Manager

Phoenix, AZ · On-site

ClifyX is a company focused on AI solutions, and they are seeking an AI Solution Product Manager to lead the development and management of AI-enabled products. The role involves collaborating with ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

Bakertilly

AI Program Enablement Senior Manager

Phoenix, AZ · On-site

$115K - $115K/yr

The AI Enablement Sr. Manager will accelerate responsible, measurable AI adoption across Marketing, Sales, and Client Experience. This role will combine hands-on AI expertise with program leadership ...

onsemi

Sr. Manager AI & Data Science

Scottsdale, AZ · On-site

Sr. Manager AI & Data Science We are seeking a visionary and technically strong Senior Manager of AI & Data Science to lead a high-performing team focused on delivering scalable AI/ML solutions ...

YO AI Labs

AI Consulting Expert - Remote

Phoenix, AZ · Remote

$100 - $200/hr

Job Title: AI Consulting Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job ... management consulting, corporate strategy, business transformation, or operations. * Experience ...

micro1 AI

AI Training Expert - US Tax Law

Mesa, AZ · Remote

$65 - $70/hr

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

Mission Lane

Operations Senior Manager, AI

Phoenix, AZ · On-site +1

$136K - $162K/yr

That's the work of the Operations Senior Manager, AI. The impact you'll make: You'll have the scope and autonomy to develop and deliver an AI Operations strategy from the ground up: identifying ...

micro1 AI

AI Training Expert - US Tax Law

Phoenix, AZ · Remote

$65 - $70/hr

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

micro1 AI

AI Training Expert - US Tax Law

Yuma, AZ · Remote

$65 - $70/hr

No prior AI experience needed. Your ability to read a statute and break it into precise, testable requirements is what matters. Key Responsibilities: * Read and interpret sales and use tax statutes ...

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Ai Manager information

See Arizona salary details

$23.3K

$100.2K

$188.8K

How much do ai manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai manager in Arizona is $100,173.00, according to ZipRecruiter salary data. Most workers in this role earn between $53,398.00 and $138,350.00 per year, depending on experience, location, and employer.

What does an AI manager do?

An AI Manager oversees the development, implementation, and optimization of artificial intelligence solutions within an organization. They lead AI teams, manage projects, and ensure alignment with business goals while addressing technical and ethical concerns. AI Managers collaborate with data scientists, engineers, and executives to drive innovation and improve operational efficiency. They also stay updated on industry trends and advancements to leverage AI effectively.

What are the key skills and qualifications needed to thrive as an AI manager?

To thrive as an AI Manager, you need a strong background in computer science, machine learning, project management, and proven experience leading AI initiatives, often supported by a relevant degree or industry certifications. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, cloud platforms, and knowledge of data governance and MLOps is commonly required. Excellent leadership, problem-solving, and communication skills help AI Managers effectively coordinate cross-functional teams and translate business objectives into actionable AI solutions. These competencies are essential for successfully driving AI projects from conception to deployment while aligning with organizational goals.

What types of teams or departments does an AI manager typically collaborate with?

AI Managers work closely with data scientists, software engineers, product managers, and business stakeholders to ensure AI projects align with company objectives. They often coordinate with IT teams for infrastructure requirements, as well as legal and compliance teams regarding data privacy and ethical AI practices. Close collaboration with these groups helps deliver robust and scalable AI solutions, fostering a multidisciplinary approach that enhances project success. By acting as a bridge between technical and non-technical teams, AI Managers ensure that business needs are clearly understood and translated into effective AI strategies.

How do you become an AI manager?

To become an AI manager, candidates typically need a strong background in computer science, data science, or related fields, along with experience in AI and machine learning projects. Developing skills in programming languages like Python, understanding AI tools and frameworks, and obtaining relevant certifications can enhance qualifications. Leadership and project management skills are also important for overseeing AI teams and initiatives.

How much does an AI manager make?

An AI manager's salary typically ranges from $100,000 to $180,000 annually, depending on experience, location, and industry. Senior AI managers with specialized skills in machine learning and data analysis can earn higher compensation, often supplemented with bonuses and stock options.

What is the role of an AI manager?

An AI manager oversees the development, implementation, and maintenance of artificial intelligence projects within an organization. They coordinate teams of data scientists and engineers, ensure project goals align with business objectives, and often require knowledge of machine learning tools and programming languages. Their role involves strategic planning, resource management, and ensuring ethical AI practices.

What are the most commonly searched types of Ai jobs in Arizona?

The most popular types of Ai jobs in Arizona are:

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For Ai Manager jobs in Arizona, the most frequently searched job titles are:

What job categories do people searching Ai Manager jobs in Arizona look for?

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Ai Manager jobs near you
Infographic showing various Ai Manager job openings in Arizona as of August 2026, with employment types broken down into 87% Full Time, 10% Part Time, 2% Temporary, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $100,173 per year, or $48.2 per hour.

AI MANAGER

BTree Solutions, Inc.

Vail, AZ • On-site

Contractor

Re-posted 3 days ago

Job description

Job Title: AI MANAGER
Location: Tucson, AZ
Duration: 12+ Months
Visa: USC, GC, H1B and EAD
Contract Type: W2
This position manages a team of five AI professionals responsible for designing, developing, and deploying AI-powered tools, applications, and capabilities that advance the University's academic, research, and administrative priorities. The manager drives applied AI strategy, identifies high-impact opportunities for AI tool adoption across campus, and ensures delivered solutions are scalable, responsible, and aligned with institutional AI governance standards. The position serves as a key bridge between emerging AI technologies and the practical needs of faculty, staff, students, and campus partners, championing innovation while maintaining rigorous standards for responsible AI implementation.
Job Duties:
AI Tool Development & Application Delivery:
  • Leads the design, development, and deployment of AI-powered tools, applications, and workflows for campus use, with a focus on practical, high-impact solutions that advance University research, teaching, and operational objectives.
  • Manages the full application development lifecycle from requirements gathering and prototyping through testing, deployment, and iteration.
  • Ensures developed tools meet institutional standards for responsible AI, data privacy, accessibility, and security.
  • Directs team members in applying AI/ML techniques, LLM integrations, API development, and software engineering best practices to deliver reliable, scalable campus solutions

Team Leadership & Professional Development:
  • Plans, directs, and evaluates the day-to-day work of a team of five AI professionals, including AI/ML engineers, developers, and applied researchers.
  • Establishes clear performance expectations, provides ongoing coaching and feedback, and conducts formal performance evaluations.
  • Identifies and supports individual development opportunities to build technical depth and innovation capacity across the team.
  • Fosters a collaborative, mission-driven team environment aligned with ORAI's responsible AI values and the University's commitment to inclusive excellence.

Campus AI Innovation & Stakeholder Engagement:
  • Identifies, prioritizes, and advances opportunities to deploy AI tools and capabilities that meet the evolving needs of campus faculty, staff, students, and administrative units.
  • Partners with colleges, departments, and research groups to understand requirements and co-develop applied AI solutions.
  • Communicates AI tool capabilities, limitations, and responsible use guidelines to various campus audiences.
  • Represents AI²S/ORAI in campus working groups, advisory bodies, and innovation initiatives related to applied AI adoption.
  • Research Software Engineering & Technical Infrastructure:
  • Applies research software engineering principles to ensure AI tools and applications are built on robust, maintainable, and interoperable technical foundations.
  • Oversees integration of AI capabilities with existing University platforms, APIs, and research computing infrastructure, including cloud-based AI services (e.g., AWS Bedrock).
  • Ensures documentation, version control, testing protocols, and deployment pipelines meet institutional and software engineering standards.
  • Collaborates with the Cyberinfrastructure & Systems team to align application development with underlying infrastructure capabilities.

AI Governance, Responsible AI Compliance & Reporting:
  • Ensures all AI tools and applications developed by the team adhere to the University's responsible AI framework, data governance policies, and applicable regulatory requirements.
  • Reviews and evaluates AI solutions for bias, fairness, transparency, and alignment with ethical AI principles.
  • Contributes to ORAI AI governance activities, policy development, and institutional reporting on applied AI initiatives.
  • Maintains awareness of emerging AI technologies, regulatory developments, and peer institution practices to inform continuous improvement of the team's approach.

Knowledge, Skills and Abilities:
  • Practical knowledge of AI/ML concepts, techniques, and application development, including large language models (LLMs), generative AI, predictive modeling, and data analysis.
  • Knowledge and understanding of research software engineering principles, software development lifecycles, and technical documentation standards.
  • Knowledge of responsible AI frameworks, data privacy regulations (e.g., FERPA, HIPAA applicability), and institutional AI governance practices.
  • Knowledge and understanding of cloud AI platforms, API ecosystems, and integration patterns for enterprise AI tool deployment.
  • Knowledge and understanding of responsible AI principles, data privacy regulations, and AI governance frameworks.
  • Strong applied AI and software development skills, with demonstrated ability to move from concept to working application.
  • Effective team leadership and people management skills, including performance coaching, goal-setting, and staff development.
  • Ability to provide clear and accessible communication skills, including the ability to explain AI capabilities and limitations to non-technical campus stakeholders.
  • Project management and prioritization skills, with the ability to manage multiple concurrent initiatives in a dynamic environment.
  • Proficiency in AI/ML frameworks and tools (e.g., Python, LangChain, OpenAI/Anthropic APIs, Hugging Face, or equivalent) and software development practices including version control, CI/CD, and API development.
  • Ability to identify high-impact opportunities for AI tool adoption and translate campus needs into practical, responsible AI solutions.
  • Ability to build collaborative relationships across varioius university stakeholders, including faculty, staff, administrators, and technical teams.
  • Ability to stay current with rapidly evolving AI technologies and evaluate their applicability and responsible use in a university context.
  • Ability to cultivate an innovative, and mission-aligned team culture consistent with ORAI's responsible AI values.

Preferred Qualifications:
  • Experience designing, developing, and deploying AI/ML-powered tools or applications in an applied or enterprise environment.
  • Experience managing or leading a technical team, including setting priorities, evaluating performance, and supporting professional development.
  • Experience working with cloud-based AI platforms (e.g., AWS Bedrock, Azure OpenAI, or equivalent) preferred.
  • Experience in a higher education, research, or public sector environment preferred.
  • Master's degree in Computer Science, Artificial Intelligence, Data Science, Information Science, or a related field preferred

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