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Generative Ai Developer Jobs in Memphis, TN (NOW HIRING)

FedEx Group

Sr Cyber Security Analyst

Memphis, TN · On-site

$100 - $125/hr

As a hands-on Full Stack Developer in fraud solution integration team, your primary focus will be ... Generative AI APIs, or intelligent workflow automation) to accelerate development cycles and ...

FedEx

Sr Cyber Security Analyst

Memphis, TN · On-site

$89K - $115K/yr

As a hands-on Full Stack Developer in fraud solution integration team, your primary focus will be ... Experience utilizing AI technologies (e.g., AI coding assistants, Generative AI APIs, or ...

Deloitte

Cyber Data Protection Manager

Memphis, TN · On-site

$107K - $145K/yr

... considerations for generative AI, copilots, agents, or other AI-enabled business use cases ... Bachelor's degree in Cybersecurity, Information Security, Engineering, Computer Science ...

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Generative Ai Developer information

See Memphis, TN salary details

$18

$44

$98

How much do generative ai developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for generative ai developer in Memphis, TN is $44.07, according to ZipRecruiter salary data. Most workers in this role earn between $22.93 and $53.32 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.

What are popular job titles related to Generative Ai Developer jobs in Memphis, TN?

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

What job categories do people searching Generative Ai Developer jobs in Memphis, TN look for?

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

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

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

Generative Ai Developer jobs near you
Infographic showing various Generative Ai Developer job openings in Memphis, TN as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $91,656 per year, or $44.1 per hour.

Cyber Full-Stack Software Engineer

Deloitte

Memphis, TN • On-site

Full-time

Re-posted 20 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

48th of 154 rated financial services

Job description

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, andaa proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

Join Deloitte's Cyber Engineering team to help build technology that supports the next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will collaborate with cross-functional teams to deliver scalable, secure, and maintainable solutions that support client and business needs.

Work you'll do

As a Full Stack Engineer on the Cyber Engineering team, you will be responsible for...

  • Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
  • Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
  • Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
  • Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
  • Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
  • 1-3+ years experience in the following areas: 
    • 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
    • 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot
    • 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments
    • 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines
    • 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with object-oriented programming, design patterns, and clean coding practices
  • Experience building secure, reusable, responsive, and maintainable applications
  • Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
  • Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
  • Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments
  • Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberCtBEngg

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Qualifications:

Deloitte Cyber understands the unique challenges and opportunities businesses face in cybersecurity. Deloitte's Cyber team helps our clients navigate the ever-changing threat landscape. We simplify complexity, and enable businesses to operate with resilience, grow with confidence, andaa proactively manage their security posture.

Recruiting for this role ends on 12/31/2026.

The Team:

Deloitte's Cyber Engineering is a new team that is spearheading the buildout of Cybersecurity technology that will underpin the next generation of our Cybersecurity services. Join us as we work with technologies shaping the future of Cybersecurity to build future capabilities today.

Position Summary

Join Deloitte's Cyber Engineering team to help build technology that supports the next generation of cybersecurity services. As a Full Stack Engineer, you will design, develop, and enhance applications across frontend and backend environments, working with modern engineering practices and cloud-based technologies. You will collaborate with cross-functional teams to deliver scalable, secure, and maintainable solutions that support client and business needs.

Work you'll do

As a Full Stack Engineer on the Cyber Engineering team, you will be responsible for...

  • Collaborating with business stakeholders, engineers, and team leadership to translate business needs into technical solutions
  • Designing, developing, testing, and enhancing full stack applications across frontend and backend technologies
  • Building and integrating application programming interfaces, microservices, and cloud-based services to support product functionality
  • Supporting product quality through code reviews, testing, debugging, and continuous integration and continuous deployment practices
  • Contributing to technical analysis, solution design, and delivery activities that support client outcomes and product development

A successful candidate would possess these skills:

  • Ability to work independently and collaborate as part of a team
  • Effective written and verbal communication skills
  • Meticulous attention to detail and quality of work product
  • Ability to build and sustain professional relationships
  • Ability to lead projects or workstreams
  • Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
  • Strong interpersonal skills and professional demeanor
  • Ability to meet deadlines
  • Ability to provide clear guidance to others

Qualifications

Required:

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Applied Mathematics, Physics, Statistics, or a similar technical field
  • 1-3+ years experience in the following areas: 
    • 1-3+ years of experience in full stack development across frontend and backend technologies, including experience with Angular, React, or Next.js and JavaScript, TypeScript, HTML5, and CSS3
    • 1-3+ years of experience in backend development using Node.js, Python with Django or Flask, or Java with Spring Boot
    • 1-3+ years of experience building and consuming Representational State Transfer application programming interfaces and working with microservices or serverless architectures in production environments
    • 1-3+ years of experience working with relational databases and at least 1 NoSQL database, and using Git, Azure DevOps or similar tools, Docker, Agile or Scrum methods, automated testing, and continuous integration and continuous deployment pipelines
    • 1-3+ years of experience developing, integrating, or deploying artificial intelligence, Generative AI, or agentic AI solutions within enterprise applications on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
  • Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Limited immigration sponsorship may be available.

Preferred:

  • Experience with object-oriented programming, design patterns, and clean coding practices
  • Experience building secure, reusable, responsive, and maintainable applications
  • Experience with secure development practices, DevOps, DevSecOps, web security, GitOps, or Kubernetes customization
  • Experience with OpenSearch, Elasticsearch, Neo4j, Memgraph, Maven, or Gradle
  • Experience with Bootstrap, jQuery, or JavaServer Pages in legacy or mixed-technology environments
  • Cloud certification in Amazon Web Services, Microsoft Azure, or Google Cloud Platform

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $100,400 to $197,900.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

#CyberCtBEngg

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

Education:Bachelor's DegreeEmployment Type:

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