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Generative Ai Certification Jobs in Raleigh, NC (NOW HIRING)

Experience securing machine learning, generative AI, or agentic AI workloads and pipelines on AWS ... Professional certification in Amazon Web Services (AWS), cloud security, or cybersecurity

Legal Product Consultant

Raleigh, NC · On-site

$110K - $138K/yr

You will also play a pivotal role in product innovation, experimenting with generative AI ... certifications, etc. In addition to your salary, Litera offers benefits such as a comprehensive ...

... Generative AI services * Leading cloud migration, application consolidation, and database ... certifications; and other business and organizational needs. The disclosed range estimate has not ...

... Generative AI, transformative technologies, and creative design. We can enhance customer ... certifications; and other business and organizational needs. The disclosed range estimate has not ...

Showing results 21-40

Generative Ai Certification information

See Raleigh, NC salary details

$10

$20

$32

How much do generative ai certification jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for generative ai certification in Raleigh, NC is $20.08, according to ZipRecruiter salary data. Most workers in this role earn between $13.32 and $25.96 per hour, depending on experience, location, and employer.

What is the difference between Generative Ai Certification vs Data Scientist?

AspectGenerative Ai CertificationData Scientist
Required credentialsCertification programs, online coursesDegree in data science, statistics, or related fields
Work environmentTraining, project-based, AI-focused teamsResearch, analysis, data modeling in various industries
Employer usageTech companies, AI startups, training providersTech firms, finance, healthcare, consulting
Search intentLearning AI generative models, certification programsAnalyzing data, building models, insights

Generative Ai Certification focuses on training individuals in AI generative models through courses and certifications, often for skill validation. Data Scientists typically hold degrees and perform data analysis, modeling, and insights across industries. While both roles involve AI and data, certifications are more about skill validation, whereas data scientists are involved in comprehensive data analysis and modeling tasks.

What is a generative AI certification?

A Generative AI Certification is a credential that demonstrates your knowledge and skills in developing, deploying, and understanding generative artificial intelligence models, such as those used for creating text, images, audio, or video. These certifications typically cover foundational AI concepts, deep learning, neural networks, and hands-on experience with tools like GPT, DALL-E, or similar models. Earning a certification can enhance your credibility and job prospects in AI-related fields, proving your ability to work with cutting-edge generative technologies.

What are some common challenges professionals face when applying generative AI techniques in real-world projects?

Professionals working with generative AI often encounter challenges such as ensuring data quality, managing computational resource demands, and aligning model outputs with business objectives. Successfully deploying generative models requires close collaboration with data engineers, domain experts, and stakeholders to address ethical considerations and ensure outputs are both accurate and useful. Additionally, adapting quickly to the fast-evolving landscape of generative AI tools and frameworks is crucial for staying effective and competitive in the field.

What are the key skills and qualifications needed to thrive as a generative AI specialist, and why are they important?

To thrive as a Generative AI Specialist, you need a solid background in computer science, machine learning, and deep learning, often supported by a relevant degree and experience with AI frameworks. Proficiency in tools like TensorFlow, PyTorch, and experience with generative models such as GANs or transformers, as well as certifications in AI, are typically required. Strong problem-solving, creativity, and effective communication skills help distinguish top performers in this field. These skills are essential for developing innovative AI solutions, collaborating with cross-functional teams, and addressing complex challenges in generative AI applications.
What are popular job titles related to Generative Ai Certification jobs in Raleigh, NC? For Generative Ai Certification jobs in Raleigh, NC, the most frequently searched job titles are:
What job categories do people searching Generative Ai Certification jobs in Raleigh, NC look for? The top searched job categories for Generative Ai Certification jobs in Raleigh, NC are:
What cities near Raleigh, NC are hiring for Generative Ai Certification jobs? Cities near Raleigh, NC with the most Generative Ai Certification job openings:
Infographic showing various Generative Ai Certification job openings in Raleigh, NC as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution, with an average salary of $41,765 per year, or $20.1 per hour.

IT Senior Delivery Manager, Enterprise Systems

Labcorp

Durham, NC • Hybrid

$126K - $127K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago


Labcorp rating

6.6

Company rating: 6.6 out of 10

Based on 1,138 frontline employees who took The Breakroom Quiz

98th of 120 rated laboratories


Job description

Labcorp is a global leader in diagnostic testing and drug development solutions, helping healthcare providers, researchers, and patients make informed decisions that advance care. Join us in our mission to improve health and improve lives.

Labcorp is seeking a Senior IT Delivery Manager to join our team at Durham, NC office.


Work Schedule

This is a fulltime, exempt (salaried) position assigned to a First Shift schedule, with standard business hours of Monday through Friday, 8:00 a.m. to 5:00 p.m. Business needs may occasionally require flexibility in work hours, including earlier, later, or additional hours, with reasonable notice provided when possible.

Applicants who live within 35 miles of either the Burlington, NC or Durham, NC location will follow a hybrid schedule. This schedule includes a minimum of three in-office days per week at an assigned location, either Burlington or Durham, supporting both collaboration and flexibility.

Job Responsibilities

  • Manage end to end delivery of IT initiatives, including AI, data, and digital transformation programs, ensuring scope, schedule, cost, and quality targets are met.
  • Develop project plans including scope definition, detailed activities, schedule baselines, resource plans, and cost estimates.
  • Drive Agile ceremonies-sprint planning, backlog refinement, daily standups, reviews, and retrospectives-while integrating structured project controls where applicable.
  • Track project performance through KPIs, sprint metrics, burndown charts, schedule variance, effort tracking, and quality indicators.
  • Use AI powered tools to enhance planning accuracy, automate documentation, identify risks, and generate project insights and dashboards.
  • Oversee delivery of AI and Non-AI use cases, coordinating across technical, QA, architecture, and business teams to ensure production readiness.
  • Monitor project progress, adjust plans as needed, and ensure timely escalation of risks, issues, and dependencies.
  • Maintain RAID logs and execute proactive mitigation strategies across workstreams.
  • Facilitate cross functional collaboration with engineering, QA, architecture, data, and business teams to ensure project alignment and release readiness.
  • Prepare and deliver clear, concise status reports, dashboards, and executive summaries for stakeholders.
  • Ensure adherence to enterprise governance, change control, security, and compliance standards, including AI governance and responsible AI considerations where applicable.
  • Partner closely with Product Owners to refine backlog priorities, ensuring user stories, acceptance criteria, and AI use case outcomes are clearly defined and measurable.
  • Conduct stakeholder communication and management, ensuring expectations, scope, and timelines remain aligned.
  • Support team productivity by leveraging generative AI for documentation, requirement drafting, summarization, and workflow automation.
  • Coordinate resource allocation and collaborate with leads to manage team capacity and competency needs, including AI/data skills.
  • Facilitate post implementation reviews, lessons learned, and continuous improvement activities.
  • Promote a delivery culture focused on predictability, accountability, and customer centric outcomes.

Minimum Qualifications

  • Bachelor's Degree.
  • 8 or more years of experience in IT project delivery, Agile delivery management, or related roles, including delivery of digital, data, or AI enabled initiatives
  • 5 or more years of experience managing projects using both Agile and traditional PM methodologies.
  • 1 or more years of experience supporting delivery of AI-enabled solutions, with awareness of AI lifecycle considerations such as data readiness, model dependencies, integration complexity, and production readiness.
  • 2 or more years of experience with Jira, Confluence, Azure DevOps, or similar tools.

Preferred Qualifications

  • PMP, CAPM, CSM, or SAFe certification (or progress toward certification).
  • 1 or more years of experience working on CRM, analytics, cloud, or enterprise platform projects.
  • 1 or more years of experience with generative AI, project intelligence platforms, or AI driven automation tools.

Additional Qualifications

  • Proficiency in project planning, scheduling, risk management, and performance tracking.
  • Strong understanding of AI enabled tools used in project delivery, reporting, or productivity workflows.
  • Experience with cross functional delivery involving engineering, QA, architecture, and data teams.
  • Familiarity with data driven reporting, KPI frameworks, and dashboarding tools.
  • Excellent communication and stakeholder management skills across technical and business audiences.
  • Ability to manage multiple priorities in a dynamic environment.

Benefits: Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan.Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan.Employees who are regularly scheduled toworka 7 on 7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, pleaseclick here.

    Labcorp is proud to be an Equal Opportunity Employer:

    Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law.

    We encourage all to apply

    If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit ouraccessibility siteor contact us atLabcorp Accessibility. Formore information about how we collect and store your personal data, please see ourPrivacy Statement.


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