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Generative Ai Engineer Jobs in Tennessee (NOW HIRING)

Brooksource

Sr. AI Engineer

Franklin, TN · On-site

$120 - $130/hr

Senior Generative AI Engineer Location: Remote Duration: 6-Month Contract Overview Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of ...

Pwc

AI Engineer

Nashville, TN

$50K - $112K/yr

... generative AI techniques, including prompt engineering, LLM evaluation, and fine-tuning, to develop production-ready applications powered by foundation models - Developing automated evaluation ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

... generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and ... What You'll Do Agentic AI Solution Engineering: Design and build agentic AI systems that reason ...

Cyod

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

... Engineering Location Nashville, TN area preferred Insight at a Glance * 14,000+ engaged teammates ... generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and ...

Deloitte

Lead Generative AI Data Engineer III

Nashville, TN · On-site

$99K - $130K/yr

Our Deloitte AI & Engineering team works to transform technology platforms, drive innovation, and ... processing, or generative artificial intelligence solutions. * 2+ years of experience using ...

Insight Enterprises

Principal AI Engineer

Nashville, TN · On-site

$150 - $210/hr

... generative AI, and agentic systems, but many face a critical challenge: moving beyond demos and ... We are seeking a Principal AI Engineer with deep experience in agentic systems, Google Cloud ...

Creative Artists Agency (CAA)

AI - Data Engineer

Nashville, TN · On-site

$110K - $132K/yr

Prototype, evaluate approaches, test feasibility, and productionize generative AI solutions for real world use cases * Partner with engineering teams to develop technology infrastructure * Optimize ...

Relativity

Software Engineer

Nashville, TN · On-site

WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

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Generative Ai Engineer information

See Tennessee salary details

$34.5K

$105.2K

$173.8K

How much do generative ai engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for generative ai engineer in Tennessee is $105,161.00, according to ZipRecruiter salary data. Most workers in this role earn between $75,300.00 and $137,500.00 per year, depending on experience, location, and employer.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What are the key skills and qualifications needed to thrive as a generative AI engineer?

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

How do I become a generative AI engineer?

To become a generative AI engineer, you should have a strong foundation in programming languages such as Python, experience with machine learning frameworks like TensorFlow or PyTorch, and knowledge of deep learning models such as GANs or transformers. Gaining expertise through relevant coursework, online tutorials, and hands-on projects is essential, along with understanding data preprocessing and model evaluation. Building a portfolio of AI projects and staying updated with the latest research can also improve job prospects in this field.

What is the salary of a generative AI engineer?

The salary of a generative AI engineer typically ranges from $100,000 to $180,000 annually, depending on experience, location, and company size. Senior roles or those with specialized skills in deep learning and machine learning frameworks may earn higher compensation, often including bonuses and stock options.

What are the most commonly searched types of Generative Ai Engineer jobs in Tennessee?

The most popular types of Generative Ai Engineer jobs in Tennessee are:

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

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

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

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

Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Tennessee as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 63% Physical, 5% Hybrid, and 32% Remote job distribution, with an average salary of $105,161 per year, or $50.6 per hour.

Sr. AI Engineer

Franklin, TN • On-site

Brooksource
IT Services • 501 - 1,000 employees
Learn more about Brooksourceexternal

$120 - $130/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

This job post has expired 2 days ago. Applications are no longer accepted.

Job description

Senior Generative AI Engineer
Location: Remote
Duration: 6-Month Contract
Overview
Our client is seeking a Senior Generative AI Engineer to lead the evaluation, design, and implementation of enterprise AI solutions. This is a hands-on consulting role focused on helping the organization identify high-value AI use cases, assess risks and governance, and build scalable AI solutions across the business.
The ideal candidate combines a strong Data Science background with deep experience in Generative AI, cloud platforms, and modern data ecosystems. This individual will partner with technical and business stakeholders to recommend best practices, develop proof-of-concepts, and establish an enterprise AI strategy.
Responsibilities
  • Consult with business and technology teams to identify and prioritize Generative AI use cases.
  • Design and develop AI-powered solutions that improve business processes and decision-making.
  • Evaluate AI platforms, tools, and emerging technologies to recommend the best solutions for enterprise adoption.
  • Advise leadership on AI governance, security, compliance, ethical AI, and potential implementation risks.
  • Build and deploy AI models and applications leveraging enterprise data platforms.
  • Develop proofs of concept (POCs) and pilot solutions to validate business value.
  • Collaborate with data engineering teams to ensure AI solutions integrate seamlessly with existing data architecture.
  • Partner with stakeholders to establish AI best practices, standards, and adoption strategies.
  • Stay current on rapidly evolving AI technologies and provide recommendations for continuous innovation.

Required Qualifications
  • Hands-on experience designing and implementing Generative AI solutions in an enterprise environment.
  • Experience consulting with business stakeholders on AI strategy and implementation.
  • Strong understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration, and modern AI architectures.
  • Experience working across cloud environments including Microsoft Azure and AWS .
  • Experience with:
  • Microsoft AI ecosystem (Azure AI, Azure OpenAI, Microsoft Fabric, Microsoft Copilot, etc.)
  • Snowflake
  • Microsoft Fabric
  • Curo (or similar enterprise data platform)
  • Experience integrating AI solutions with modern data platforms and analytics environments.
  • Strong understanding of AI governance, model risk, privacy, and responsible AI practices.
  • Excellent communication skills with the ability to present technical concepts to executive and non-technical audiences.

Technology Stack
  • Microsoft Azure & Microsoft AI Suite
  • AWS
  • Snowflake
  • Microsoft Fabric
  • Curo
  • Python
  • Large Language Models (OpenAI, Anthropic, Gemini, etc.)
  • Prompt Engineering
  • RAG
  • AI Governance & Responsible AI

Ideal Candidate
We're looking for a senior AI professional who can bridge the gap between business strategy and technical execution. This person should be comfortable advising leadership on where AI can deliver the most value, understanding the associated risks, and building practical solutions that leverage modern cloud and data platforms. This is less of a pure software engineering role and more of a trusted AI consultant who can both architect and implement enterprise Generative AI initiatives.
Disclaimer: Brooksource, Medasource, and Calculated Hire are part of the Eight Eleven Group family of companies and operate under Eight Eleven Group, LLC. All employees receive the same benefits, policies, and terms of employment.
EEO:
We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, creed, sex, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, marital status, military or veteran status, citizenship, pregnancy (including childbirth, lactation, and related conditions), or any other protected status in accordance with applicable federal, state, and local laws.
Benefits & Perks:
Brooksource offers competitive medical, dental, vision, Health Savings Account, Dependent Care FSA, and supplemental coverage with plans that can fit each employee's needs. We offer a 401k plan that includes a company match and is fully vested after you become eligible, paid time off, sick time, and paid company holidays. We also offer an Employee Assistance Program (EAP) that provides services like virtual counseling, financial services, legal services, life coaching, etc.
Pay Disclaimer:
The pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

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