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Generative Ai Project Manager Jobs in Houston, TX

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 ... Experience supporting AI, machine learning, generative AI, automation, analytics, data, or software ...

Project Manager, AI and Data Science

Houston, TX ยท Hybrid

$49.50 - $66.75/hr

... Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ... Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots ...

... Generative AI products. On the SaaS side, you will lead pilots and rollouts, change management ... Act as Project Manager for SaaS AI tools (for example ChatGPT, Slack AI, Scribe): manage pilots ...

Generative AI Engineer

Houston, TX ยท On-site

$55 - $60/hr

Generative AI Engineer Work Location: Houston, TX Duration: 6-12 Months Contract Work Mode: Onsite ... side projects, and you understand what "production" demands. Genuine curiosity about AI/agentic ...

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design ... Ability to lead projects or workstreams * Ability to manage and prioritize multiple tasks in a fast ...

AI Architect

Houston, TX ยท On-site

$60.75 - $79/hr

... Generative AI solutions, including leadership of large-scale digital transformation and customer ... platform projects. - Proven ability to modernize legacy applications using cloud-native ...

AI Architect

Webster, TX ยท Remote

$55.25 - $72.75/hr

... and Generative AI solutions using Azure AI and OpenAI technologies. * Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.

AI Architect

Meadows Place, TX ยท Remote

$54.25 - $71.50/hr

... and Generative AI solutions using Azure AI and OpenAI technologies. * Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.

AI Architect

Houston, TX ยท Remote

$60.25 - $79.25/hr

... and Generative AI solutions using Azure AI and OpenAI technologies. * Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.

AI Architect

Pasadena, TX ยท Remote

$57.50 - $75.75/hr

... and Generative AI solutions using Azure AI and OpenAI technologies. * Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.

AI Architect

Highlands, TX ยท Remote

$55 - $72.50/hr

... and Generative AI solutions using Azure AI and OpenAI technologies. * Develop enterprise copilots, intelligent assistants, document intelligence platforms, and knowledge management solutions.

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Showing results 1-20

Generative Ai Project Manager information

See Houston, TX salary details

$36.8K

$98.1K

$154.7K

How much do generative ai project manager jobs pay per year?

As of Aug 18, 2026, the average yearly pay for generative ai project manager in Houston, TX is $98,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,000.00 and $117,500.00 per year, depending on experience, location, and employer.

What does a generative AI project manager do?

A Generative AI Project Manager oversees projects that involve the development and implementation of generative artificial intelligence solutions. Their responsibilities include coordinating teams of data scientists, engineers, and designers, managing project timelines and budgets, and ensuring that deliverables meet business objectives. They also facilitate communication between technical and non-technical stakeholders to ensure alignment and project success. Additionally, they stay updated on advances in AI technology to guide project direction and innovation.

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

To thrive as a Generative AI Project Manager, you need a solid understanding of AI/machine learning concepts, project management methodologies, and a relevant degree (such as computer science or engineering). Familiarity with tools like Jira, Agile frameworks, and AI platforms (e.g., TensorFlow, PyTorch) as well as certifications like PMP or Agile Scrum Master are highly beneficial. Strong leadership, communication, and problem-solving skills set outstanding candidates apart by enabling them to bridge technical and non-technical teams. These abilities are crucial for delivering AI projects on time, ensuring alignment with business goals, and adapting to rapidly evolving technology landscapes.

What are some unique challenges faced by generative AI project managers when overseeing cross-functional teams?

Generative AI Project Managers often encounter the challenge of bridging knowledge gaps between technical AI specialists, such as data scientists and engineers, and non-technical stakeholders, like product managers or business leaders. Coordinating clear communication and aligning project goals requires balancing rapid technological changes with business requirements, all while ensuring ethical and responsible AI development. Additionally, managing timelines can be complex due to the experimental nature of generative AI projects, which may involve iterative prototyping and unexpected roadblocks. Building trust and facilitating collaboration across diverse teams is key to project success.

What is the difference between Generative Ai Project Manager vs Data Scientist?

AspectGenerative Ai Project ManagerData Scientist
Required CredentialsProject management certifications, AI knowledgeDegree in Data Science, Computer Science, or related fields
Work EnvironmentCross-functional teams, project planningData analysis, model development
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, research institutions, analytics companies

While both roles involve AI, the Generative Ai Project Manager oversees AI projects, coordinating teams and timelines, whereas the Data Scientist focuses on analyzing data and building models. The project manager ensures project delivery, while the data scientist develops the AI models used within projects.

What are popular job titles related to Generative Ai Project Manager jobs in Houston, TX?

For Generative Ai Project Manager jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Generative Ai Project Manager jobs in Houston, TX look for?

The top searched job categories for Generative Ai Project Manager jobs in Houston, TX are:

What cities near Houston, TX are hiring for Generative Ai Project Manager jobs?

Cities near Houston, TX with the most Generative Ai Project Manager job openings:

AI Project Manager

Addison Group

Houston, TX โ€ข On-site

$75 - $95/hr

Contractor

Medical, Dental, Vision, Retirement

Posted 26 days ago


Job description

Position: AI Project Manager

Location: Houston, TX / Fully onsite M-F

Pay: $75.00 - $95.00 / Per Hour

Employment Type: Contract

Benefits: This position is eligible for medical, dental, vision, and 401(k).

Position Overview

We are seeking a Senior Project Manager/Product Owner to lead enterprise AI initiatives and serve as a key liaison between technical teams and business stakeholders. This individual will build upon the team’s established Agile foundation by representing the AI team in meetings, translating business needs into actionable plans, and driving projects from discovery through adoption. The role does not require deep technical expertise but does require strong business acumen, leadership, and a genuine interest in AI.

Key Responsibilities

  • Serve as a trusted representative and advocate for the Enterprise AI team across business and technology functions.
  • Partner with stakeholders to understand business processes, challenges, objectives, and potential opportunities for AI.
  • Lead discovery sessions, workshops, and stakeholder meetings to define use cases and establish clear desired outcomes.
  • Translate high-level or loosely defined requests into project scopes, requirements, user stories, acceptance criteria, and delivery plans.
  • Own and prioritize product backlogs based on business value, technical feasibility, dependencies, risk, and team capacity.
  • Lead AI initiatives through discovery, planning, development, testing, rollout, training, and adoption.
  • Create and deliver polished presentations, proposals, business cases, project updates, and executive-level communications.
  • Build stakeholder alignment and manage expectations regarding scope, timelines, priorities, AI capabilities, and data requirements.
  • Partner closely with AI engineers, developers, data professionals, architects, business analysts, and subject-matter experts.
  • Maintain clear visibility into project progress, ownership, risks, dependencies, decisions, and next steps.
  • Proactively identify roadblocks and shifting priorities, facilitate decisions, and hold project participants accountable for commitments.
  • Support Agile ceremonies such as backlog refinement, sprint planning, reviews, retrospectives, and prioritization sessions.
  • Coordinate multiple concurrent initiatives while ensuring the team remains focused on the highest-value work.
  • Support solution testing and quality assurance by validating requirements and coordinating stakeholder feedback.
  • Lead project demonstrations, training sessions, rollout communications, and post-launch feedback efforts.
  • Help refine the AI team’s delivery processes, stakeholder-engagement model, and approach to evaluating new opportunities.
  • Stay informed about emerging AI capabilities and help stakeholders understand their practical business applications and limitations.

Required Qualifications

  • 5+ years of experience in project management, product ownership, business analysis, technology consulting, business operations, or a comparable stakeholder-facing role.
  • Demonstrated experience leading complex, cross-functional technology or digital-transformation initiatives.
  • Strong stakeholder-management skills and the confidence to independently lead meetings with business and technology leaders.
  • Experience gathering requirements and translating business needs into defined priorities, user stories, project plans, and measurable outcomes.
  • Working knowledge of Agile and Scrum practices, including sprint planning, backlog refinement, prioritization, and iterative delivery.
  • Excellent written, verbal, and presentation skills, with the ability to communicate effectively with technical and nontechnical audiences.
  • Strong business acumen and the ability to quickly understand processes across different organizational functions.
  • Highly organized and proactive, with the ability to manage competing priorities without losing accountability or follow-through.
  • Comfortable navigating ambiguity, asking challenging questions, and bringing structure to early-stage ideas.
  • Tech-savvy and genuinely interested in artificial intelligence, automation, and emerging technologies.
  • Experience creating polished presentations and communicating recommendations to leadership.

Preferred Qualifications

  • Experience supporting AI, machine learning, generative AI, automation, analytics, data, or software-development initiatives.
  • Familiarity with AI solutions such as copilots, chatbots, semantic search, intelligent document processing, or retrieval-augmented generation.
  • Experience evaluating and prioritizing technology use cases based on business value, feasibility, risk, and organizational readiness.
  • Experience working within a large enterprise and coordinating initiatives across multiple business units.
  • Background in energy, oil and gas, industrial operations, or another complex enterprise environment.
  • Familiarity with Azure DevOps, Jira, or a similar project and backlog-management platform.
  • Experience with change management, process improvement, training, or product adoption.
  • PMP, CSPO, Scrum Master, or a comparable certification is a plus.

Ideal Candidate

  • Polished, proactive leader who can independently guide stakeholder conversations
  • Able to bring structure and clarity to ambiguous requests
  • Drives clear decisions, accountability, and next steps
  • Engaging, organized, and confident in working across the organization
  • Comfortable challenging unclear or competing priorities while maintaining strong relationships
  • Genuinely curious about AI and able to become a credible ambassador for the team

Addison Group is an Equal Opportunity Employer. Addison Group provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran, in accordance with applicable federal, state, and local laws. Reasonable accommodation is available for qualified individuals with disabilities upon request.

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