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Generative Ai Developer Jobs in Murfreesboro, TN

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 ...

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 ...

AWS Certified Cloud Practitioner, AWS Certified Solutions Architect (Associate), AWS Certified AI Practitioner (AIF-C01), AWS Certified Generative AI Developer (Professional - AIP-C01), AWS Certified ...

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 ...

Understanding of DevOps principles and experience with tools such as GitHub Actions * Experience working with large language model (LLM) APIs or generative AI systems * Experience designing and ...

... Generative AI Leader, or relevant Google Cloud and AI certifications. DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud-native engineering ...

Principal AI Engineer

Nashville, TN · On-site

$180 - $240/hr

... Generative AI Leader, or relevant Google Cloud and AI certifications. * DevOps / Engineering: GitHub, Google Cloud Professional DevOps Engineer, Kubernetes (CKA), Terraform, or cloud‑native ...

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Generative Ai Developer information

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How much do generative ai developer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for generative ai developer in Murfreesboro, TN is $38.98, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $47.16 per hour, depending on experience, location, and employer.

What is a generative AI developer?

A Generative AI Developer is a technology professional who specializes in designing, building, and deploying artificial intelligence systems that can create new content, such as text, images, audio, or code. They work with advanced machine learning models, like generative adversarial networks (GANs) or large language models, to enable computers to produce original outputs. These developers often collaborate with data scientists, researchers, and product teams to integrate AI-generated content into software applications and business solutions.

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

To thrive as a Generative AI Developer, you need strong programming skills (especially in Python), a deep understanding of machine learning concepts, and an advanced degree in computer science or a related field. Familiarity with frameworks like TensorFlow, PyTorch, and experience with cloud platforms or model deployment tools are typically required. Creative problem-solving, adaptability, and effective collaboration are standout soft skills in this evolving field. These abilities are crucial to design, implement, and refine generative models that solve real-world problems and drive innovation.

What are some common challenges faced by generative AI developers when deploying models in production environments?

Generative AI Developers often encounter challenges such as ensuring model reliability, managing computational resource requirements, and addressing ethical considerations like data bias or content safety. Deploying generative models at scale requires robust monitoring to detect unexpected outputs or model drift, and collaboration with data engineers and product teams to optimize performance. Staying up-to-date with evolving frameworks and best practices is essential, as production environments demand both technical rigor and adaptability to new AI advancements.

What is the difference between Generative Ai Developer vs Machine Learning Engineer?

AspectGenerative Ai DeveloperMachine Learning Engineer
CredentialsBachelor's or higher in CS, AI, or related fields; experience with deep learning frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentDevelops AI models for content creation, chatbots, and creative applicationsBuilds and deploys ML models for various data-driven solutions across industries
Industry UsageTech, entertainment, marketing, and creative sectorsFinance, healthcare, tech, and e-commerce sectors

While both roles involve AI and machine learning, Generative Ai Developers focus on creating models that generate content, such as images or text, whereas Machine Learning Engineers develop broader ML solutions for diverse applications. The roles often overlap but differ mainly in their specific focus areas and use cases.

How to become a generative AI developer?

To become a generative AI developer, you should have a strong foundation in programming languages like Python, experience with machine learning frameworks such as TensorFlow or PyTorch, and knowledge of neural network architectures like transformers. Gaining expertise in natural language processing and deep learning, along with practical experience through projects or internships, is essential. Certifications in AI or data science can also enhance your qualifications.

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For Generative Ai Developer jobs in Murfreesboro, TN, the most frequently searched job titles are:

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The top searched job categories for Generative Ai Developer jobs in Murfreesboro, TN are:

What cities near Murfreesboro, TN are hiring for Generative Ai Developer jobs?

Cities near Murfreesboro, TN with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Murfreesboro, TN as of August 2026, with employment types broken down into 70% Full Time, 27% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $83,128 per year, or $40 per hour.

Sr. AI Engineer

Brooksource

Franklin, TN • On-site

$120 - $130/hr

Contractor

Medical, Dental, Vision, Retirement, PTO

This job post has expired 1 day 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.