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Contract Ai Manager Jobs (NOW HIRING)

BTree Solutions, Inc.

AI MANAGER

Vail, AZ · On-site

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 ...

Sleeper

AI Content Creator (Contract)

About the Role We're building out a roster of contract AI Content Creators to help us scale content ... Manage and grow social accounts as part of the role - including posting cadence, comment/DM ...

Allied Consultants, Inc.

AI Solutions Architect

Austin, TX · On-site

$62.50 - $82.25/hr

Job Description We are currently seeking a contract AI Solutions Architect to be a key resource on ... management, and error recovery for long-running workflows. * Prior experience building Agent ...

New

Cohere

Contract Manager

New York, NY · On-site

$97K - $130K/yr

We build cutting-edge foundation AI models and end-to-end products that are designed to solve real ... Contract Manager Remote (North America) Who are we? Our mission is to scale intelligence to serve ...

DEFCON AI

Program Contracts Manager

$110K - $140K/yr

ABOUT DEFCON AI RESILIENCE IN THE FACE OF DISRUPTION. DEFCON AI is an insights company that ... What You'll Do Own Contract & Subcontract Operations * Manage the full lifecycle of contracts and ...

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How much do contract ai manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for contract ai manager in the United States is $106,034.00, according to ZipRecruiter salary data. Most workers in this role earn between $89,000.00 and $119,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Contract AI Manager, you typically need expertise in artificial intelligence, project management, and contract negotiation, supported by a degree in computer science or related fields. Familiarity with AI development platforms, data analysis tools, and contract management software is often required, along with certifications like PMP or Six Sigma being advantageous. Strong leadership, communication, and problem-solving abilities help you manage cross-functional teams and client expectations effectively. These skills are crucial for ensuring successful AI project delivery within contractual obligations and fostering productive client relationships.

Will AI take over contract AI management jobs?

Contract AI Managers oversee the deployment and optimization of AI systems, and while automation tools can handle routine tasks, human oversight remains essential for strategic decision-making and ethical considerations. AI is more likely to augment these roles rather than fully replace them, requiring skills in AI tools, contract management, and data analysis.

What is the difference between Contract Ai Manager vs Data Scientist?

AspectContract Ai ManagerData Scientist
Required CredentialsTypically a bachelor’s degree in computer science, AI, or related field; certifications in AI/ML are a plusUsually a master’s or PhD in data science, statistics, or related fields; certifications in data analysis or ML are common
Work EnvironmentProject-based, often contract roles within tech companies, startups, or consulting firmsResearch and development settings, tech companies, or analytics teams within various industries
Employer & Industry UsageUsed by organizations deploying AI solutions on a contract basis, focusing on AI project managementEmployed to analyze data, develop models, and generate insights across industries

The Contract Ai Manager primarily oversees AI projects and manages contracts, requiring project management skills and AI knowledge. In contrast, Data Scientists focus on analyzing data, building models, and deriving insights. While both roles require technical expertise, their focus areas and responsibilities differ significantly.

How does a contract AI manager typically balance project delivery with managing external vendor relationships?

As a Contract AI Manager, you will often be responsible for overseeing multiple AI projects while simultaneously coordinating with external vendors and contractors. Balancing these responsibilities requires strong project management skills, clear communication, and regular status updates to ensure all parties align with project goals and deadlines. You may need to negotiate deliverables, manage expectations, and resolve any issues that arise between your internal team and external partners. This role offers a dynamic environment where collaboration and adaptability are key to delivering successful AI solutions on time and within budget.

What is a contract AI manager?

A Contract AI Manager is a professional responsible for overseeing artificial intelligence projects on a contractual basis, rather than as a full-time employee. They manage AI initiatives, coordinate teams, and ensure project goals are met within the agreed contract period. Their work can involve supervising data scientists, ensuring compliance with AI ethics and regulations, and reporting progress to stakeholders. Contract AI Managers are often hired for their expertise on specific projects or to fill temporary leadership gaps in organizations.
More about Contract Ai Manager jobs
What cities are hiring for Contract Ai Manager jobs? Cities with the most Contract Ai Manager job openings:
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Contract Ai Manager jobs near you
Infographic showing various Contract Ai Manager job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 12% Part Time, and 1% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $106,034 per year, or $51 per hour.

AI MANAGER

BTree Solutions, Inc.

Vail, AZ • On-site

Contractor

Re-posted 23 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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