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Generative Ai Project Manager Jobs in Phoenix, AZ

Generative AI Strategist

Phoenix, AZ

$120.60K - $155.90K/yr

Engage in discussions about intricate industry-specific concepts with executives, line managers ... Collaborate with customers to define the scope of projects and articulate how generative AI can ...

Lead and oversee large-scale Generative AI projects from conception to deployment * Develop and ... Strong project management skills and experience working in Agile environments Qualifications:

Deloitte Oracle Generative AI Architect Managers help clients delineate strategy and vision, design and implement process and systems which align with business objectives and have a measurable impact ...

Generative AI Developer

Phoenix, AZ · On-site

$104.80K - $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 ...

Design and co-own the Generative AI/ML system and project architecture, frameworks, tools, and ... Manage and preprocess large datasets, design efficient data processing pipelines, and ensure data ...

AI Architect, Manager

Phoenix, AZ · On-site +1

$62.50 - $82.50/hr

Provide continuous advice, best practices, and quality assurance to AI project teams related to ... LLM solution architecture & solution development (Generative AI / Azure OpenAI) * Time-Series ...

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Generative Ai Project Manager information

See Phoenix, AZ salary details

$38.2K

$102K

$160.9K

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

As of May 28, 2026, the average yearly pay for generative ai project manager in Phoenix, AZ is $101,954.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,900.00 and $122,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Generative AI Project Manager, and why are they important?

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 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 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 Phoenix, AZ? For Generative Ai Project Manager jobs in Phoenix, AZ, the most frequently searched job titles are:

Generative AI Strategist

Forhyre

Phoenix, AZ

$120.60K - $155.90K/yr

Full-time

Posted 19 days ago


Job description

Embark on a transformative journey at the forefront of innovation as a Generative AI Strategist.

Are you ready to shape the future of business by unleashing the power of generative AI and machine learning? Join us in driving strategic alignment, fostering collaborative engagement, and leading sales initiatives to deliver tangible business value through cutting-edge generative AI solutions. If you possess a passion for innovation and a drive to revolutionize businesses through generative AI, we welcome you to be part of our dynamic team. Seize this opportunity to drive impactful change and lead businesses into a new era of technological advancement as a Generative AI Strategist.

Key Responsibilities:

Strategic Alignment:

  • Facilitate alignment between the customer's technologists and business leaders to unleash the potential of generative AI and machine learning for driving business value.
  • Develop comprehensive roadmaps to ensure the effective implementation of generative AI solutions.

Business Conceptualization:

  • Engage in discussions about intricate industry-specific concepts with executives, line managers, and technologists to identify key opportunities for leveraging generative AI.

Collaborative Engagement:

  • Work closely with various teams within the customer's organization, including applied scientists, solutions architects, business development, marketing, and industry specialists to foster collaboration and innovation.
  • Build strong partnerships with regional organizations and external partners to amplify the impact of generative AI solutions.

Sales Leadership:

  • Lead the strategic direction of large, complex sales opportunities from inception to successful closure and delivery.
  • Drive vision building exercises and scoping sessions to ensure alignment with customer needs and expectations.

Workshop Facilitation:

  • Conduct interactive workshop sessions with customers to identify potential areas for deploying generative AI and machine learning solutions.
  • Collaborate with customers to define the scope of projects and articulate how generative AI can drive tangible business outcomes.

Qualifications:

  • Proven experience in strategizing and implementing generative AI solutions in a business context.
  • Strong communication skills to engage with stakeholders at all levels and effectively convey complex concepts.
  • Expertise in collaborating with cross-functional teams and external partners to drive innovation and business growth.
  • Demonstrated ability to lead sales processes for complex technological solutions.
  • Proficiency in conducting workshops and facilitating productive discussions to drive actionable outcomes.

If you are passionate about leveraging generative AI to transform businesses and drive innovation, we invite you to join our dynamic team as a Generative AI Strategist.