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Ai Project Management Jobs in Texas (NOW HIRING)

AI Technical Project Manager / AI Program ManagerJob Summary We are seeking an experienced AI ... This is a fully onsite role in Austin, TX, requiring strong communication, stakeholder-management ...

New

AI Project Manager

Houston, TX ยท On-site

$75 - $95/hr

AI Project Manager Location: Houston, TX / Fully onsite M-F Pay: $75.00 - $95.00 / Per Hour ... Strong stakeholder-management skills and the confidence to independently lead meetings with ...

Project Manager - AI Academy (AI Adoption & Awareness) ENGINEERING DIVISION ยท Plano, Texas, United ... Lead end-to-end program management for AI Academy initiatives, including AI adoption, awareness ...

Summary The Project Management Supervisor has two primary job functions: to support a limited ... AI Enablement Across the Team: Partner with Marketing & Innovation and BOPS leadership on the ...

Senior AI Admin at 7-Eleven have solid technical background and help bring a technical perspective to managing AI projects. You'll be joining a multidisciplinary team of product managers, scientists ...

Senior AI Admin at 7-Eleven have solid technical background and help bring a technical perspective to managing AI projects. You'll be joining a multidisciplinary team of product managers, scientists ...

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Showing results 1-20

Ai Project Management information

See Texas salary details

$35.9K

$95.7K

$150.9K

How much do ai project management jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai project management in Texas is $95,664.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,100.00 and $114,600.00 per year, depending on experience, location, and employer.

How do I become an AI project manager?

To become an AI project manager, you typically need a background in project management, often with a relevant degree such as computer science, engineering, or business. Experience managing technology projects, knowledge of AI and machine learning concepts, and proficiency with project management tools are important. Certifications like PMP or Agile can also enhance your qualifications.

Is project management a good career even with AI?

Project management remains a valuable career as AI tools can automate routine tasks but do not replace the need for human oversight, leadership, and decision-making. Skills in communication, risk management, and familiarity with project management software like MS Project or Jira are essential, and continuous learning is important to adapt to technological changes.

What are some typical challenges faced by AI project managers, and how can they be addressed?

AI Project Managers often encounter challenges such as managing interdisciplinary teams, aligning project goals with rapidly evolving technologies, and ensuring ethical and compliant deployment of AI solutions. Handling shifting priorities, budget constraints, and complex data requirements can also be demanding. Successful AI Project Managers address these challenges by promoting clear communication, establishing realistic timelines, maintaining flexibility, and staying up to date on industry best practices. Collaboration with data scientists, engineers, and business stakeholders is key to proactively identifying and mitigating risks while delivering project goals. Regular training and an openness to learning also help in navigating the unique complexities of AI-driven projects.

What is AI project management?

An AI Project Management job involves overseeing projects that develop and implement artificial intelligence solutions. AI project managers coordinate teams, manage timelines, ensure resource allocation, and address risks to deliver AI-driven initiatives successfully. They work closely with data scientists, engineers, and business stakeholders to align AI projects with company goals. Strong technical knowledge, leadership skills, and an understanding of AI methodologies are essential for success in this role.

How much does an AI project manager make?

An AI project manager's salary typically ranges from $80,000 to $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in AI tools and methodologies can earn higher compensation, often exceeding $150,000.

What are the key skills and qualifications needed to thrive in AI project management, and why are they important?

To thrive in AI Project Management, you need a solid background in project management principles, a strong understanding of artificial intelligence concepts, and preferably a degree in computer science, engineering, or a related field. Familiarity with tools like Jira, Asana, or Microsoft Project and certifications such as PMP or Agile are commonly required, along with experience in AI platforms and data analytics systems. Excellent communication, leadership, and problem-solving abilities set top candidates apart, as does the capacity to bridge technical and business teams. These skills are critical to ensure projects stay on track, meet stakeholder expectations, and deliver effective AI solutions.

What are the most commonly searched types of Ai Project Management jobs in Texas?

The most popular types of Ai Project Management jobs in Texas are:

What are popular job titles related to Ai Project Management jobs in Texas?

For Ai Project Management jobs in Texas, the most frequently searched job titles are:

What cities in Texas are hiring for Ai Project Management jobs?

Cities in Texas with the most Ai Project Management job openings:

Infographic showing various Ai Project Management job openings in Texas as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 70% In-person, 10% Hybrid, and 20% Remote job distribution, with an average salary of $95,664 per year, or $46 per hour.

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Posted 2 days ago

New


Job description

AI Technical Project Manager<>Location: Austin, TX
Work Model: Onsite โ€“ 5 days/week
Position Type: Contract
Role: AI Technical Project Manager / AI Program ManagerJob Summary

We are seeking an experienced AI Technical Project Manager to lead the planning, execution, and delivery of enterprise AI/ML and Generative AI initiatives for one of our Clients

The ideal candidate will have strong experience managing complex technology projects involving Artificial Intelligence, Machine Learning, Generative AI, LLMs, data platforms, and cloud technologies. This person will work closely with engineering, data science, product, architecture, business, risk, security, and executive stakeholders to ensure AI initiatives are delivered on time, within scope, and aligned with business objectives.

This is a fully onsite role in Austin, TX, requiring strong communication, stakeholder-management, and technical project leadership skills.

Key Responsibilities
  • Lead end-to-end delivery of complex AI/ML and Generative AI projects from initiation through production deployment.
  • Develop project plans, timelines, milestones, dependencies, resource plans, and delivery roadmaps.
  • Partner with AI/ML engineers, data scientists, software engineers, architects, product managers, and business stakeholders.
  • Translate business objectives into clear technical project requirements and executable delivery plans.
  • Manage multiple workstreams across AI, data, cloud, application development, and platform engineering teams.
  • Track project scope, schedule, budget, risks, issues, dependencies, and overall delivery status.
  • Establish project governance, reporting, RAID logs, status reporting, and executive-level communications.
  • Identify project risks and blockers early and drive appropriate mitigation and resolution.
  • Coordinate Agile ceremonies including sprint planning, backlog refinement, standups, demos, and retrospectives where applicable.
  • Work with Product Owners and Engineering Leads to prioritize deliverables and manage dependencies.
  • Coordinate AI model development, data preparation, experimentation, validation, deployment, and production rollout activities.
  • Help manage projects involving LLMs, GenAI applications, RAG, AI agents, predictive analytics, ML models, and AI-enabled applications.
  • Coordinate with security, privacy, compliance, legal, risk, and governance teams for responsible AI delivery.
  • Ensure project deliverables meet enterprise technology, security, regulatory, and governance requirements.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders.
  • Prepare executive presentations, project dashboards, status reports, and delivery metrics.
  • Drive cross-functional teams toward successful project completion and measurable business outcomes.
Required Qualifications
  • 8+ years of experience in IT Project Management / Technical Program Management.
  • 3+ years of experience managing AI/ML, Data Science, Generative AI, or advanced analytics projects.
  • Proven experience managing complex technology initiatives involving multiple engineering and business teams.
  • Strong understanding of AI/ML and Generative AI concepts.
  • Experience with LLMs, GenAI, RAG, AI/ML models, or AI-powered applications.
  • Strong knowledge of Agile/Scrum methodologies.
  • Experience managing project schedules, milestones, dependencies, risks, issues, and budgets.
  • Strong stakeholder management and executive communication skills.
  • Experience working with engineering, data, cloud, and architecture teams.
  • Strong understanding of SDLC and enterprise software delivery.
  • Excellent written and verbal communication skills.
  • Strong analytical, organizational, and problem-solving skills.
  • Ability to work effectively in a highly collaborative onsite environment.
Preferred Qualifications
  • Experience within Financial Services, Banking, Brokerage, Wealth Management, or FinTech.
  • Experience delivering AI solutions in a highly regulated enterprise environment.
  • Experience with Responsible AI, AI governance, model risk, data privacy, or security.
  • PMP, PMI-ACP, CSM, SAFe, or similar certification.
  • Experience working with senior executives and enterprise technology leadership.
  • Experience managing large-scale transformation or modernization programs.
  • Experience with cloud-based AI/ML platforms.