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Generative Ai Project Manager Jobs in Austin, TX

MDAEdge

Generative AI Engineer

Austin, TX · On-site

... management and model deployment. • Ensure scalability and performance of generative AI applications. Qualifications : Required : • Designed and developed scalable generative AI platforms for ...

ClifyX

GenAI Project Manager

Austin, TX · On-site

The role requires significant experience in IT and project management, specifically in the field of Generative AI. Qualifications : Required : • Minimum 12 to 15 yrs of IT experience • Minimum 7 ...

Scalence L.L.C.

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

L.C. is seeking a Senior Generative AI Engineer to join their Apple Content Solutions Team. The ... managers to ensure that all project deliverables are on time and high quality. • Work ...

Stantec

Generative AI Developer

Austin, TX · On-site

... management, evaluation, deployment, and monitoring. • Partner with ML/AI leads and engineering ... in Generative AI, Agentic AI, and multi-agent systems. • Design, build, and deploy agentic ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

... generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This ... Establish and enforce governance for model usage, prompt and tool management, safety controls, data ...

Stantec

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

... generative AI and agentic AI systems within Stantec's Digital Center of Excellence (DCoE). This ... Establish and enforce governance for model usage, prompt and tool management, safety controls, data ...

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Generative Ai Project Manager information

See Austin, TX salary details

$38.2K

$101.8K

$160.6K

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

As of Aug 19, 2026, the average yearly pay for generative ai project manager in Austin, TX is $101,779.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,800.00 and $121,900.00 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 Austin, TX?

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

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

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

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

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

Generative Ai Project Manager jobs near you

AI Project Manager

Career Soft Solutions Inc

Manor, TX • On-site

Other

Posted 7 days ago

Job description

AI Technical Project Manager<>Location: Austin, TX
Work Model: Onsite – 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.

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