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Generative Ai Certification Jobs in Tennessee (NOW HIRING)

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow ... Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ...

Certifications in cloud (Azure AI Engineer, AWS ML Specialty, etc.). * Experience implementing generative AI and LLM solutions in production. * Background in industry-specific domains (finance ...

AI Architect

Memphis, TN · On-site

$130 - $190/hr

The ideal candidate possesses a broad understanding of modern AI technologies including Generative ... ExperienceLicenses & Certifications Equal Opportunity Employer This employer is required to notify ...

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Generative Ai Certification information

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 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 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 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.

Is generative AI certification worth it?

Generative AI certification can enhance a job seeker's credentials by validating skills in AI model development, data handling, and relevant tools like Python or TensorFlow. It can improve employability in roles such as AI engineer or data scientist, especially as demand for AI expertise grows. However, practical experience and project work are also important factors in securing related positions.

What jobs can you get with a generative AI certification?

A generative AI certification can qualify you for roles such as AI developer, machine learning engineer, data scientist, or AI researcher, where skills in neural networks, deep learning, and AI tools are essential. These positions often involve developing, training, and deploying AI models in various industries like technology, healthcare, and finance.

What are popular job titles related to Generative Ai Certification jobs in Tennessee?

For Generative Ai Certification jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Generative Ai Certification jobs in Tennessee look for?

The top searched job categories for Generative Ai Certification jobs in Tennessee are:

What cities in Tennessee are hiring for Generative Ai Certification jobs?

Cities in Tennessee with the most Generative Ai Certification job openings:

Infographic showing various Generative Ai Certification job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 86% In-person, 9% Hybrid, and 5% Remote job distribution.

Chief Functional Architect, SAP CX & Gen AI

Cognizant Technology Solutions

Brentwood, TN • On-site

$198K - $225K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Key responsibilities

  • Lead the design and governance of enterprise SAP CX cloud architectures that integrate generative AI capabilities.

  • Translate complex customer experience, procurement, and analytics requirements into scalable SAP CX solution roadmaps and functional designs.

  • Partner with business and technology stakeholders to define future-state operating models and transformation strategies across customer engagement and procurement domains.


Cognizant rating

7.0

Company rating: 7.0 out of 10

Based on 87 frontline employees who took The Breakroom Quiz

59th of 72 rated business consultants


Job description

Chief Functional Architect, SAP CX & Generative AI
About the role
As a Chief Functional Architect, SAP CX & Generative AI, you will lead the design of innovative SAP Customer Experience (CX) solutions that help global organizations transform customer engagement, procurement operations, and business performance. You will partner with business leaders, enterprise architects, and delivery teams to create scalable cloud-based solutions that leverage SAP CX, advanced analytics, and generative AI capabilities to drive meaningful business outcomes.
In this role, you will:
• Lead the design and governance of enterprise SAP CX cloud architectures that integrate generative AI capabilities to enhance customer experiences and business outcomes.
• Translate complex customer experience, procurement, and analytics requirements into scalable SAP CX solution roadmaps and functional designs.
• Partner with business and technology stakeholders to define future-state operating models and transformation strategies across customer engagement and procurement domains.
• Drive the integration of SAP CX solutions with procurement, analytics, and enterprise platforms to enable seamless data flow and process optimization.
• Guide the responsible adoption of generative AI capabilities to improve personalization, forecasting, decision support, and intelligent process automation.
• Mentor cross-functional teams on SAP CX architecture best practices, governance standards, and reusable solution patterns.
• Evaluate and continuously improve solution performance to ensure alignment with evolving business objectives and responsible AI practices.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position in New York. Regardless of your working arrangement, we are here to support a healthy work-life balance through our various wellbeing programs.
What you need to have to be considered
• Extensive experience architecting and delivering SAP CX cloud solutions in complex enterprise environments.
• Expertise SAP CX roadmap planning, solution mapping, and large-scale digital transformation initiatives.
• Strong understanding of customer experience processes across sales, service, marketing, and commerce.
• Proven experience with spend management analytics, procurement process optimization, and eProcurement solutions.
• Experience implementing solutions within life sciences or other highly regulated industries.
• Knowledge of generative AI technologies and responsible AI governance frameworks.
• Excellent stakeholder management, communication, and leadership skills.
These will help you stand out
• SAP Certified Application Associate in SAP CX or related SAP certification.
• AI, Machine Learning, or Generative AI certification from a major cloud provider.
• Experience integrating SAP CX with ERP, procurement, analytics, and cloud-native platforms.
• Knowledge of enterprise architecture, data strategy, and cloud transformation initiatives.
Compensation & Benefits
Salary and Other Compensation
The annual base salary for this position is between $198,000 and $225,000, depending on experience, qualifications, geographic location, and other factors permitted by law.
This position is also eligible for Cognizant's discretionary annual incentive program, subject to the terms and conditions of the applicable incentive plan.
Benefits
• Medical, dental, and vision insurance
• Life insurance
• Paid holidays and paid time off (PTO)
• 401(k) plan with company contributions, subject to plan terms
• Short-term and long-term disability coverage
• Employee assistance and wellbeing programs
• Learning and professional development opportunities
The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify compensation and benefits programs at any time, consistent with applicable law and business requirements.
Application Deadline
Applications will be accepted until October 15, 2026.
About Cognizant:
Cognizant (Nasdaq: CTSH) is an AI Builder and technology services provider, bridging the gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an organization's unique context into technology systems that amplify human potential, drive tangible outcomes and keep global enterprises ahead in a fast-changing world. See how at cognizant.ai or @cognizant.
Additional employment information
Compensation information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government issued ID during each interview.
Cognizant is an equal opportunity employer. Your application and candidacy will not be considered based on race, color, sex, religion, creed, sexual orientation, gender identity, national origin, disability, genetic information, pregnancy, veteran status or any other characteristic protected by federal, state or local laws.
If you have a disability that requires reasonable accommodation to search for a job opening or submit an application, please email [email protected] for roles based in the Americas or [email protected] for roles based in India.

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