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How much do gen ai developer jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for gen ai developer in Tennessee is $41.10, according to ZipRecruiter salary data. Most workers in this role earn between $21.39 and $49.76 per hour, depending on experience, location, and employer.

What is a Gen AI developer?

A Gen AI Developer is a professional who designs, builds, and deploys applications using generative artificial intelligence models, such as large language models (LLMs) or image generators. They work with AI frameworks and APIs to create solutions that can generate text, images, code, or other content based on user input. Gen AI Developers often need skills in programming, machine learning, and prompt engineering, and they play a key role in building innovative AI-powered applications across various industries.

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

To thrive as a Gen AI Developer, you need a strong background in computer science, machine learning, and deep learning frameworks, often supported by a degree in a related field. Proficiency with tools such as Python, TensorFlow or PyTorch, and experience with cloud platforms like AWS or Azure, as well as relevant certifications, are commonly required. Critical thinking, creativity, and effective communication are essential soft skills for solving complex problems and collaborating with cross-functional teams. These competencies are vital for developing innovative AI solutions that drive business value and maintain technological competitiveness.

What are some common challenges Gen AI developers face when deploying models into production environments?

Gen AI Developers often encounter challenges such as ensuring model scalability, maintaining data privacy, and managing high computational requirements when deploying generative AI models. Integrating models with existing systems and monitoring for model drift or bias are also critical concerns. Close collaboration with DevOps, data engineering, and security teams is essential to build robust deployment pipelines and maintain reliable performance in real-world applications.

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

AspectGen Ai DeveloperMachine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related fields; experience with AI frameworksBachelor's or higher in CS, Data Science, or related fields; strong programming skills
Work EnvironmentTech companies, AI startups, research labs focusing on generative AITech firms, data-driven companies, research institutions working on ML models
Employer & Industry UsagePrimarily in AI development, focusing on generative models and AI applicationsBroader industry use, including predictive modeling, data analysis, and automation

While both roles involve AI and machine learning skills, Gen AI Developers specialize in creating generative AI models like chatbots and content generators, whereas Machine Learning Engineers develop a wide range of ML algorithms for various applications. The roles often overlap but differ in focus and project types.

How can I become a Gen AI developer?

To become a Gen AI developer, you should gain strong programming skills in languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and develop expertise in natural language processing and large language models. Building a portfolio of AI projects and obtaining relevant certifications can also enhance your qualifications for this role.

Is a Gen AI Developer a promising career?

A Gen AI Developer is a growing role focused on creating and improving generative artificial intelligence systems, often requiring skills in machine learning, deep learning, and programming languages like Python. The demand for such developers is increasing as AI applications expand across industries, making it a promising career with strong job growth prospects.

What are popular job titles related to Gen Ai Developer jobs in Tennessee?

For Gen Ai Developer jobs in Tennessee, the most frequently searched job titles are:

What job categories do people searching Gen Ai Developer jobs in Tennessee look for?

The top searched job categories for Gen Ai Developer jobs in Tennessee are:

What cities in Tennessee are hiring for Gen Ai Developer jobs?

Cities in Tennessee with the most Gen Ai Developer job openings:

Infographic showing various Gen Ai Developer job openings in Tennessee as of August 2026, with employment types broken down into 81% Full Time, 17% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $85,497 per year, or $41.1 per hour.

Life Sciences Experience Design Strategy Manager

Deloitte

Nashville, TN • On-site

Full-time

Re-posted 5 days ago


Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services


Job description

Position Summary

The Experience Design Strategy Manager is a client-facing consulting leader who delivers experience design strategy engagements for Life Sciences clients. This role combines experience design strategy, digital product fluency, consulting execution, and Life Sciences commercial knowledge to help clients improve patient, provider, and business outcomes. The manager works across strategy and delivery to turn research, data, and business needs into actionable experience solutions. 

Recruiting for this role ends on November 1, 2026

Work you'll do

This role is ideal for someone who is equally comfortable shaping experience vision and driving cross-functional execution through launch and adoption. You will work across strategy, design, product, and engineering to ensure concepts become real, measurable solutions, used by patients and/or providers in production. 

As a Manager, you will be responsible for:

  • Leading engagements that define experience and product strategy for Life Sciences clients across patient services, user engagement, and commercial operations 
  • Partnering with client commercial, digital, and patient services leaders to define and deliver experience strategies and products that meet patient and provider needs and drive business outcomes. 
  • Translating business and user challenges into structured design strategies, insights, product visions, roadmaps, release priorities, and measurable outcomes 
  • Connecting experience strategy to digital product delivery by aligning design intent with epics, features, user stories, MVP definitions, and delivery plans that product and engineering teams can execute 
  • Partner closely with product, engineering, data, and business stakeholders to move from concept through build, launch, and iteration. 
  • Guide teams in prioritization, trade-off decisions, dependency management, and release planning to drive delivery with speed and clarity. 
  • Understand which AI-enabled tools and modern ways of working can accelerate research synthesis, concept development, and product planning and champion usage. 
  • Managing client relationships, facilitating working sessions, and overseeing scope, timelines, risks, and dependencies across design workstreams
  • Supporting practice growth through proposals, solution shaping, workplans, and team coaching
  • Champion and advocate for the role of design both with clients and while coaching and developing teams

A successful candidate would possess these skills:

  • Ability to stretch from framing ambiguous business problems through roadmap definition, build planning, launch through close collaboration with design, product and engineering leaders 
  • Agile product delivery practices to align user value, business value, and technical feasibility throughout execution. 
  • Experience overseeing roadmap creation, backlog shaping, prototyping, MVP scoping, and release planning. 
  • Strong executive storytelling and team leadership 

The Team

An evolving customer and regulatory landscape, mounting pipeline of next-gen assets and portfolio pressures, and intensifying competition are presenting new organizational and operational hurdles for Life Sciences companies. These complex market dynamics are requiring new levels of rigor and insight in experience strategy, digital product design, and patient-centered solutions, both domestically and globally.

We are looking for practitioners who will work alongside Life Sciences organizations, from biotechnology firms to global big pharma to medical device companies, to drive business value through end-to-end delivery of experience design strategies that connect human insight to commercial impact.

Qualifications

Required:

  • 6+ years in experience design strategy, service design, or human-centered design in a commercial or digital environment
  • 6+ years of experience working with Life Sciences commercial teams in patient services, customer engagement, or commercial operations
  • 6+ years of experience in the US Life Sciences ecosystem, including patient journeys, healthcare provider engagement models, and commercial operating environments
  • 6+ years of experience in digital product design and delivery, including product management, roadmapping, user story development, and agile delivery
  • 6+ years of experience leading design-led innovation processes including but not limited to conducting or leading design research/user interviews, journey mapping, service blueprinting, and/or concepting
  • 1+ years of experience using artificial intelligence tools in day-to-day workflow
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience presenting recommendations and deliverables to executive stakeholders
  • Experience managing engagements involving multiple stakeholder groups across design, commercial, digital, and product functions
  • Experience using data, analytics, and artificial intelligence-enabled tools in consulting, strategy, or product delivery
  • Experience working with product, engineering, and technology teams to translate design strategies into delivery plans
  • Experience supporting proposals, solution shaping, or workplan development
  • Experience coaching or developing cross-functional teams including practitioners with design, strategy, and/or product skillsets

Life Sciences Experience Design Strategy Manager

Position Summary

Throughout the health ecosystem, you'll find courageous and inspiring people who are committed to driving transformation, advancing access to healthcare, and leading a well-being revolution. Where you find innovators committed to sustainable progress, you'll find Deloitte's Life Sciences & Health Care practice. Our leaders work side-by-side to orchestrate and deliver on the business of science and health. We bring trusted, flexible approaches that help foster innovation, harness new technologies, and formulate consumer-driven strategies to engineer a digitally enabled, equitable future of health.

Recruiting for this role ends on August 31, 2026

Work you'll do

The Experience Design Strategy Manager is a client-facing consulting leader who delivers experience design strategy engagements for Life Sciences clients. This role combines experience design strategy, digital product fluency, consulting execution, and Life Sciences commercial knowledge to help clients improve patient, customer, and business outcomes. The manager works across strategy and delivery to turn research, data, and business needs into actionable experience solutions.

As a Manager, you will be responsible for:

  • Leading experience design strategy workstreams across patient services, customer engagement, and commercial operations for Life Sciences clients
  • Partnering with client commercial, digital, and patient services leaders to define and deliver human-centered experience strategies tied to business outcomes
  • Translating business and user challenges into structured design strategies, insights, and deliverables grounded in research and data
  • Connecting experience strategy to digital product delivery by aligning design intent with product roadmaps, user stories, development priorities, and implementation needs
  • Managing client relationships, facilitating working sessions, and overseeing scope, timelines, risks, and dependencies across design workstreams
  • Supporting practice growth through proposals, solution shaping, workplans, and team coaching
  • Champion and advocate for the role of design both with clients and while coaching and developing teams

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 mentor and provide clear guidance to others

The Team

An evolving customer and regulatory landscape, mounting pipeline of next-gen assets and portfolio pressures, and intensifying competition are presenting new organizational and operational hurdles for Life Sciences companies. These complex market dynamics are requiring new levels of rigor and insight in experience strategy, digital product design, and patient-centered solutions, both domestically and globally.

We are looking for practitioners who will work alongside Life Sciences organizations, from biotechnology firms to global big pharma to medical device companies, to drive business value through end-to-end delivery of experience design strategies that connect human insight to commercial impact.

Qualifications

Required:

  • 6+ years of experience in experience design strategy, service design, or human-centered design in a commercial or digital environment
  • 6+ years of experience working with Life Sciences commercial teams in patient services, customer engagement, or commercial operations
  • 6+ years of experience in the US Life Sciences ecosystem, including patient journeys, healthcare provider engagement models, and commercial operating environments
  • 6+ years of experience in digital product design and delivery, including product management, roadmapping, user story development, and agile delivery
  • 6+ years of experience leading design-led innovation processes including but not limited to conducting or leading design research/user interviews, journey mapping, service blueprinting, and/or concepting
  • 1+ years of experience using artificial intelligence tools in day-to-day workflow
  • Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
  • Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred:

  • Experience presenting recommendations and deliverables to executive stakeholders
  • Experience managing engagements involving multiple stakeholder groups across design, commercial, digital, and product functions
  • Experience using data, analytics, and artificial intelligence-enabled tools in consulting, strategy, or product delivery
  • Experience working with product, engineering, and technology teams to translate design strategies into delivery plans
  • Experience supporting proposals, solution shaping, or workplan development
  • Experience coaching or developing cross-functional teams including practitioners with design, strategy, and/or product skillsets

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 $163,400 - $322,100.

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.

This position is aligned with the Core Talent Model. To view the associated benefit package, please reference this document https://resources.deloitte.com/:b:/r/sites/dnet-tod-us/Shared Documents/Benefits/USBenefitsJourneyCDandETAM.pdf?csf=1&web=1&e=pKjS1C.

#Customer_US

#CSD_US

Qualifications:

Position Summary

The Experience Design Strategy Manager is a client-facing consulting leader who delivers experience design strategy engagements for Life Sciences clients. This role combines experience design strategy, digital product fluency, consulting execution, and Life Sciences commercial knowledge to help clients improve patient, provider, and business outcomes. The manager works across strategy and delivery to turn research, data, and business needs into actionable experience solutions. 

Recruiting for this role ends on November 1, 2026

Work you'll do

This role is ideal for someone who is equally comfortable shaping experience vision and driving cross-functional execution through launch and adoption. You will work across strategy, design, product, and engineering to ensure concepts become real, measurable solutions, used by patients and/or providers in production. 

As a Manager, you will be responsible for:

  • Leading engagements that define experience and product strategy for Life Sciences clients across patient services, user engagement, and commercial operations 
  • Partnering with client commercial, digital, and patient services leaders to define and deliver experience strategies and products that meet patient and provider needs and drive business outcomes. 
  • Translating business and user challenges into structured design strategies, insights, product visions, roadmaps, release priorities, and measurable outcomes 
  • Connecting experience strategy to digital product delivery by aligning design intent with epics, features, user stories, MVP definitions, and delivery plans that product and engineering teams can execute 
  • Partner closely with product, engineering, data, and business stakeholders to move from concept through build, launch, and iteration. 
  • Guide teams in prioritization, trade-off decisions, dependency management, and release planning to drive delivery with speed and clarity. 
  • Understand which AI-enabled tools and modern ways of working can accelerate research synthesis, co...

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