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Generative Ai Project Manager Jobs in Georgia (NOW HIRING)

Starr And Associates LLC

Senior Project Manager

Atlanta, GA · On-site

$95K - $125K/yr

Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior Project Manager ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

Starr And Associates LLC

Senior Project Manager

Atlanta, GA · On-site

$95K - $125K/yr

Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior Project Manager ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

Starr And Associates LLC

Senior Project Manager

Atlanta, GA · On-site

$95K - $125K/yr

Vision insurance Senior Project Manager Starr & Associates (S&A) is seeking an experienced Senior ... Experience supporting AI, Machine Learning, Generative AI, or advanced analytics initiatives. Core ...

ASI

Project Manager Signage

Atlanta, GA · On-site

$52K - $65K/yr

Create message schedules and location plans for Sales or Project Management teams using SignAgent, Excel, Adobe InDesign & AI. * Project manage multiple job assignments at the same time. Remuneration ...

Global Payments

AI Engineer

Alpharetta, GA

Collaborate with data scientists, product managers, and engineers to translate business ... Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.

ASI

Project Manager Signage

Atlanta, GA · On-site

$52K - $65K/yr

Create message schedules and location plans for Sales or Project Management teams using SignAgent, Excel, Adobe InDesign & AI. * Project manage multiple job assignments at the same time. Remuneration ...

Global Payments, Inc.

AI Engineer

Alpharetta, GA · On-site

Collaborate with data scientists, product managers, and engineers to translate business ... Hands-on experience with Generative AI models (e.g., GPT, Mistral, Claude) and agentic AI systems.

KPMG

Manager, AI Engineer

Atlanta, GA

Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and ...

KPMG

Manager, AI Engineer

Atlanta, GA · On-site

Define solution architectures that integrate LLMs, generative AI, and traditional ML with enterprise platforms * Manage AI projects including architecture design, model development, integration, and ...

Deloitte

Oracle Gen AI Manager

Atlanta, GA

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 ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Georgia

Generative Ai Project Manager information

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 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.
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What cities in Georgia are hiring for Generative Ai Project Manager jobs? Cities in Georgia with the most Generative Ai Project Manager job openings:
Generative Ai Project Manager jobs near you
Infographic showing various Generative Ai Project Manager job openings in Georgia as of August 2026, with employment types broken down into 88% Full Time, 11% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution.

Voice AI Project Manager (Temporary full-time engagement)

Clearwave Corporation

Atlanta, GA • On-site

Temporary

Posted 8 days ago

Job description

Who We Are:
Clearwave Corporation is an innovative healthcare technology company based in Atlanta, Georgia that provides a complete patient-engagement platform for specialty practices. Our solutions simplify patient experiences and help practices grow and scale in our ever-changing healthcare environment, all to create a better all-around healthcare experience. With proven ROI, Clearwave improves practice revenues, reduces staff workload, and enhances the patient experience. Through self-service scheduling and check-in, patient communication, and insurance verification, Clearwave helps practices provide a digital-first, convenient, compliant, and safe experience that patients have come to expect from healthcare providers. With 95% client retention, we understand that we're stronger when we support our customers. Clearwave is committed to superior client onboarding and ongoing client success with an unsurpassed client-partner relationship.
POSITION SUMMARY: Estimated six-month, full-time employment engagement
The Voice AI Project Manager serves as the implementation lead across all active Voice AI deployments, sitting at the intersection of client delivery, operational execution and program development. This role currently spans six beta clients at varying stages of go-live and is built for ambiguity, requiring the ability to pivot quickly as product capabilities and program priorities evolve in real time. The person in this role will surface implementation considerations early and translate learnings into repeatable frameworks for general availability and future clients.
This is temporary, full-time employment position. We estimate this project will take six months, with the option to extend in 30-day increments if necessary.
ESSENTIAL FUNCTIONS:
  • Design, document and continuously improve the end-to-end implementation process for the Voice AI Agent, from pre-deployment discovery through post-launch optimization.
  • Serve as the internal subject matter expert and primary point of contact for Voice AI deployment projects, partnering closely with implementation, client success and product teams.
  • Review AI-handled calls per client across all live Voice AI Agent deployments to identify misroutes, failed containment, edge cases and scripting gaps, and log findings for prompt and flow adjustments.
  • Pull and analyze KPIs across the VocalVector dashboard, VV call exports, client phone systems (e.g., Weave), Clearwave Scheduling dashboard and audit logs, tracking containment rate, transfer rate, handle time, scheduling activity and pass rate per client.
  • Maintain the Voice AI Beta Dashboard and weekly reporting for internal stakeholders.
  • Partner in all weekly Voice AI implementation calls directly with client contacts, communicating performance data, flagging open items and aligning on next steps.
  • Build and maintain a library of repeatable assets, including call flow templates, specialty-specific scripting guides, integration checklists, training materials and onboarding playbooks.
  • Lead client-facing project management for Voice AI implementations during the beta program, ensuring on-time delivery and measurable outcomes, including call resolution rates and hours saved.
  • Maintain living documentation that reflects current product behavior, integration requirements and workflows.
  • Translate product and engineering updates into updated implementation processes, ensuring teams and clients stay aligned as the Voice Agent evolves.
  • Identify patterns across deployments to feed continuous improvement back into both the product roadmap and implementation methodology.

POSITION QUALIFICATIONS
Competencies:
  • Strong project management discipline, with the ability to manage multiple concurrent client deployments at varying stages of go-live.
  • Excellent client-facing communication skills, including the ability to present performance data, manage expectations and build trust through change.
  • Strong cross-functional collaboration skills, able to coordinate effectively across clients, internal teams and external partners.
  • Analytical mindset with the ability to interpret KPI and performance data across multiple systems and translate it into action.
  • Process orientation and documentation discipline, with the ability to turn ad hoc learnings into repeatable, scalable frameworks.
  • Strategic thinking that connects day-to-day implementation work to broader product roadmap and go-to-market decisions.
  • Strong attention to detail when auditing calls and identifying scripting gaps, edge cases or failed containment.
  • Self-starter mentality suited to a first-of-kind product still being shaped in the field.

Experience:
  • Bachelor's degree in Business Administration, Development, Engineering or related field, or equivalent experience required
  • Prior experience in implementation, client success, project management or program management, ideally in a SaaS, healthcare technology or AI product environment.
  • Experience supporting or leading client-facing rollouts of new or emerging products, particularly during beta phases.
  • Experience working cross-functionally with product, engineering and client-facing teams.
  • Experience building process documentation, playbooks or training materials.
  • Healthcare, healthcare technology or patient engagement experience is a plus.
  • Experience working with AI-driven products, voice agents, or contact center / IVR technology is a plus.

Computer Skills:
  • Proficiency with dashboard and reporting tools for tracking KPIs such as containment rate, transfer rate, handle time and pass rate.
  • Comfortable working across multiple software systems simultaneously, including client phone systems and scheduling platforms.
  • Proficiency with standard business productivity tools (e.g., Microsoft Office or Google Workspace) for documentation, reporting and presentations.
  • Familiarity with call audit or call review tooling and the ability to interpret call logs and transcripts.
  • Comfortable learning and navigating new internal and client-facing software platforms as deployments

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