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Generative Ai Project Manager Jobs in Charleston, SC

HDR

Project Manager - Building Design

Charleston, SC · On-site

From high-performance data centers driving the future of AI to dynamic commercial environments ... HDR is looking for an experienced Project Manager to join the Building Engineering Services ...

Blackbaud

Enterprise Architect

Charleston, SC · On-site

$130 - $160/hr

... Generative AI solution patterns* Solid understanding of AI/ML architectures, including data pipelines, model lifecycle management, and integration patterns* Hands-on familiarity with modern data ...

Blackbaud

Enterprise Architect

SC · Remote

$70.75 - $91/hr

... Generative AI solution patterns * Solid understanding of AI/ML architectures, including data pipelines, model lifecycle management, and integration patterns * Hands-on familiarity with modern data ...

PBK

Design Director

North Charleston, SC · On-site

Oversees design presentations, monitors project design development, and provides design direction ... Sketch-up, Generative AI, etc. * Ability to interact with senior management, external client ...

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All JobsGenerative Ai Project JobsGenerative Ai Project Manager JobsGenerative Ai Project Manager Jobs in Charleston, SC

Generative Ai Project Manager information

See Charleston, SC salary details

$36K

$96.1K

$151.6K

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

As of Sep 5, 2026, the average yearly pay for generative ai project manager in Charleston, SC is $96,091.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $115,100.00 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 Charleston, SC?

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

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

The top searched job categories for Generative Ai Project Manager jobs in Charleston, SC are:

What cities near Charleston, SC are hiring for Generative Ai Project Manager jobs?

Cities near Charleston, SC 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 Charleston, SC as of June 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, and 2% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $96,091 per year, or $46.2 per hour.

Senior AI Solutions Architect (Remote Opportunity)

Veterans EZ Info Inc

Charleston, SC • On-site

$180 - $240/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 17 days ago

Job description

VetsEZ is seeking a Senior AI Solutions Architect to lead the design and implementation of enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA), with responsibility for AI architecture across the JLV contract. The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Search and Summarization initiative, delivering a secure, governed AI-assisted search and summarization MVP for development, clinical evaluation, and designated-user testing in an approved lower environment utilizing Retrieval-Augmented Generation (RAG) and Large Language Models (LLMs) within a secure AWS cloud environment.


Working closely with Government stakeholders, clinical subject matter experts, software engineers, cybersecurity teams, and DevSecOps personnel, this individual will establish the overall AI solution architecture while ensuring scalability, security, interoperability, Responsible AI, and compliance with Federal cybersecurity and AI governance requirements.


Responsibilities:

  • Lead the architecture, design, and implementation of enterprise AI solutions utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).

  • Design scalable, secure, and maintainable AI architectures supporting enterprise healthcare applications.

  • Define solution architecture, data flows, system interfaces, AI orchestration, and integration patterns.

  • Evaluate AI technologies, services, and frameworks to support current and future project needs.

  • Ensure architecture supports approved future phases without expanding the authorized MVP scope.

  • Design AI solutions leveraging Amazon Bedrock and AWS cloud services.

  • Architect secure AI pipelines supporting approved document access and processing, retrieval, vector search, prompt orchestration, and AI-assisted summarization.

  • Define strategies for model selection, prompt management, retrieval optimization, and AI performance tuning.

  • Define monitoring and evaluation strategies to detect model, prompt, retrieval, and data drift and address degradation in accuracy, safety, or clinical relevance.

  • Optimize AI architectures for scalability, operational cost, reliability, and response time.

  • Collaborate with DevSecOps teams to support deployment automation and operational readiness.

  • Design integration between AI services and existing enterprise healthcare applications.

  • Define secure interfaces utilizing REST APIs and modern integration patterns.

  • Ensure solutions align with healthcare interoperability standards including FHIR, HL7, and CCD.

  • Collaborate with application development teams to integrate AI capabilities into clinician workflows.

  • Promote consistent architecture patterns and engineering best practices across JLV development teams.

  • Design AI solutions that comply with Federal cybersecurity, privacy, and Responsible AI requirements.

  • Incorporate Human-in-the-Loop (HITL), source traceability, approved data boundaries, retention and purge controls, explainability, auditability, and governance principles into solution architecture.

  • Support Authority to Operate (ATO), AI governance, Security Impact Analysis (SIA), and technology approval activities.

  • Ensure secure handling of Protected Health Information (PHI) and Personally Identifiable Information (PII).

  • Collaborate with cybersecurity teams to implement secure AI architectures and operational controls.

  • Serve as the technical leader for AI architecture across the JLV contract.

  • Mentor software engineers and provide architectural guidance throughout the software development lifecycle.

  • Participate in architecture reviews, design sessions, sprint planning, backlog refinement, and technical estimation.

  • Produce architecture documentation, system design artifacts, interface specifications, and implementation guidance.

  • Present technical approaches and architectural recommendations to Government leadership and stakeholders.


Requirements:

  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.

  • 10+ years designing enterprise software solutions.

  • 5+ years designing cloud-native architectures utilizing AWS or comparable cloud platforms.

  • Demonstrated experience architecting Artificial Intelligence, Machine Learning, or Generative AI solutions.

  • Experience implementing enterprise applications utilizing Amazon Bedrock or similar AI platforms.

  • Experience leading technical architecture across multidisciplinary engineering teams.

  • Amazon Bedrock and AWS cloud services

  • Large Language Models (LLMs)

  • Retrieval-Augmented Generation (RAG)

  • Prompt engineering, source-grounded AI evaluation, and hallucination testing

  • Vector databases, embeddings, and semantic search

  • REST APIs and enterprise integration

  • Cloud architecture and distributed systems

  • DevSecOps and CI/CD

  • Healthcare interoperability (FHIR, HL7, CCD)


Additional Qualifications:

  • Strong understanding of enterprise architecture principles and cloud-native application design.

  • Experience balancing AI performance, scalability, security, explainability, and operational cost.

  • Excellent analytical, architectural, and problem-solving skills.

  • Strong written and verbal communication skills with the ability to communicate complex technical concepts to diverse audiences.

  • Ability to obtain and maintain a Government Public Trust clearance.

  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.

  • Experience designing AI-enabled clinical workflow, search, summarization, or clinician-support solutions requiring human validation.

  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP, including applicable High-Impact AI requirements.

  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.

  • AWS Solutions Architect, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.


Benefits:

  • Medical, Dental, and Vision Insurance

  • 401(k) with Employer Match

  • Paid Time Off plus Federal Holidays

  • Corporate Laptop

  • Professional Development and Training Opportunities

  • Remote Opportunity


Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.


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