1

Ai Project Management Jobs in Texas (NOW HIRING)

PMO Manager

Sugar Land, TX · On-site

$110K - $155K/yr

... AI, automation, analytics, and other strategic initiatives What Success Looks Like • Project Managers are engaged, developed, and consistently improving their capabilities • Delivery practices ...

PMO Manager

Sugar Land, TX · On-site

$110K - $155K/yr

... AI, automation, analytics, ERP, infrastructure, cybersecurity, or digital transformation programs Experience establishing delivery standards and PMO practices Experience with project portfolio ...

... management * Track adoption metrics, rollout KPIs, operational readiness, and business value realization * Collaborate with vendor, architecture, and cybersecurity teams to support AI risk mitigation ...

Develop the overarching strategy, vision, and roadmap for all AI projects to achieve business ... Time Management to prioritize tasks, multitask, and manage time effectively across functional ...

... are AI project. In this role, you will help improve next-generation AI systems by reviewing ... Support audit program management initiatives using healthcare coding and compliance expertise.

Showing results 21-40

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 Sep 2, 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.

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.

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 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.

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 certification like PMP or Agile. Knowledge of artificial intelligence concepts, data science, and experience managing technical teams are also important. Developing skills in communication, leadership, and familiarity with AI tools and frameworks can enhance your qualifications.

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.

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 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 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $95,664 per year, or $46 per hour.

Project Manager AI/ML

Kanak Elite Services Inc

Houston, TX • On-site

Contractor

Re-posted 25 days ago


Job description

Job Title: Project Manager AI/ML

Location: Houston, TX (Onsite — Local or Must Relocate at Own Expense)
Duration: Long Term Contract

Job Description:

We are seeking a Project Manager to support ongoing technology initiatives in Dallas. The ideal candidate will have experience coordinating both domestic and international teams and a background in AI or Machine Learning projects (preferred but not mandatory).

Key Responsibilities:

  • Manage end-to-end project delivery across cross-functional teams
  • Coordinate with both offshore and onshore resources
  • Track project timelines, risks, and deliverables
  • Facilitate communication between technical and non-technical stakeholders
  • Prepare project reports and support leadership with updates

Required Skills:

  • Proven Project Management experience
  • Experience working with offshore and domestic teams
  • Strong communication and coordination skills
  • Background in AI/ML projects 

Thanks & Regards,

YOGITA

✉️ Yogita@kanakits.com