1

Generative Ai Developer Jobs in Orlando, FL (NOW HIRING)

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering ... Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker ...

AI DevOps Engineer (AWS)

Orlando, FL

$49.25 - $67.50/hr

AI DevOps Engineer (AWS) Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering ... Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker ...

The Role Capco is seeking a Generative AI Engineer to help design, develop, and deploy intelligent applications powered by Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and ...

The company is seeking an AI Engineer - Manager to develop generative AI solutions, provide technical guidance, and mentor junior engineers while collaborating with cross-functional teams to meet ...

They are seeking an AI Tech Lead to develop generative AI solutions while mentoring a dedicated AI engineering team and collaborating with product managers and experts to deliver impactful technical ...

AI Technical Architect

Orlando, FL · Hybrid

$61.75 - $74.75/hr

Generative AI Architect Location: New York, NY & Orlando, FL | Practice Area: Technology & Engineering | Type: Permanent Shape the architecture of enterprise-scale generative AI solutions at the ...

Machine Learning Engineer

Orlando, FL · On-site

$120 - $160/hr

Seeking a Machine Learning Engineer for the following role - Generative AI & ML Frameworks: PyTorch, TensorFlow, Hugging Face Transformers, Diffusers Training: DeepSpeed, Accelerate, Ray, distributed ...

Data Scientist- Senior Associate

Orlando, FL · On-site

$55K - $55K/yr

Responsibilities : • Develop and implement core components of generative AI solutions including RAG pipelines and context engineering features within the established architecture; drive quality ...

Sr. AI Engineer

Orlando, FL · Hybrid

$97K - $134K/yr

Technology & Engineering | Type ... Permanent Build and scale cutting-edge generative AI solutions that drive real business impact The ...

Data Scientist- Associate

Orlando, FL · On-site

$55K - $55K/yr

Responsibilities : • Develop and implement core components of generative AI solutions, including RAG pipelines and context engineering features, within our established architecture; driving quality ...

Data Engineer [Hybrid] w2 role

Orlando, FL · On-site

$106K - $128K/yr

... DevOps practices for code deployment . * Experience working with a range of generative AI models, tools, and concepts. * Must Have * 5+ years of proven experience using SQL and Python. * Must Have ...

next page

Showing results 1-20

Generative Ai Developer information

See Orlando, FL salary details

$17

$42

$94

How much do generative ai developer jobs pay per hour?

As of Aug 21, 2026, the average hourly pay for generative ai developer in Orlando, FL is $42.32, according to ZipRecruiter salary data. Most workers in this role earn between $22.02 and $51.20 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 Orlando, FL?

For Generative Ai Developer jobs in Orlando, FL, the most frequently searched job titles are:

What job categories do people searching Generative Ai Developer jobs in Orlando, FL look for?

The top searched job categories for Generative Ai Developer jobs in Orlando, FL are:

What cities near Orlando, FL are hiring for Generative Ai Developer jobs?

Cities near Orlando, FL with the most Generative Ai Developer job openings:

Infographic showing various Generative Ai Developer job openings in Orlando, FL 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 $87,937 per year, or $42.3 per hour.

AI DevOps Engineer (AWS)

Capco

Orlando, FL

$49.25 - $67.50/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 14 days ago


Job description

AI DevOps Engineer (AWS)

Location: Orlando, FL (Hybrid) | Practice Area: Technology & Engineering | Type: Permanent, Full-Time

Build the cloud platforms powering the next generation of AI innovation.

The Role

Capco is looking for an experienced AI DevOps Engineer (AWS) to help design, build, and operate the cloud infrastructure that powers our Artificial Intelligence and Generative AI capabilities. Working within our Technology & Engineering Practice, you will enable AI Engineers and Data Scientists to deploy, scale, and manage AI solutions securely, reliably, and efficiently.

This is a senior individual contributor opportunity for someone who enjoys hands-on engineering, automation, cloud-native technologies, and solving complex platform challenges while working alongside multidisciplinary teams delivering innovative solutions for leading financial institutions.

What You’ll Do

  • Design, build, and maintain scalable AWS cloud infrastructure supporting AI, Machine Learning, and Generative AI platforms.
  • Develop Infrastructure as Code using Terraform (preferred), AWS CloudFormation, or equivalent technologies while building automated CI/CD pipelines for AI applications and services.
  • Deploy, manage, and optimize containerized workloads using Docker and Kubernetes (Amazon EKS preferred), supporting AI model deployment and lifecycle management.
  • Implement monitoring, logging, observability, security, and governance across cloud environments while optimizing reliability, scalability, performance, and cost efficiency.
  • Collaborate with AI Engineers, Data Scientists, Data Engineers, and Solution Architects to continuously improve platform engineering, automation, and operational excellence.

What We’re Looking For

  • 5–7 years of experience in DevOps, Cloud Engineering, Platform Engineering, or Site Reliability Engineering, supported by a Bachelor's degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.
  • Strong hands-on experience with AWS cloud services, Infrastructure as Code (Terraform preferred), CI/CD tooling, Docker, Kubernetes, Linux administration, and cloud networking fundamentals.
  • Experience supporting AI, Machine Learning, data platforms, or MLOps environments, with strong scripting skills in Python and/or Bash.
  • Experience implementing monitoring, observability, IAM, secrets management, cloud security, governance, and operational best practices using tools such as CloudWatch, Prometheus, Grafana, Datadog, or Splunk.
  • Strong troubleshooting, communication, collaboration, and stakeholder engagement skills with the ability to work effectively across cross-functional engineering teams.

Bonus Points For

  • Experience with Microsoft Azure and/or Google Cloud Platform.
  • Experience supporting Generative AI, Large Language Models (LLMs), MLOps, MLflow, SageMaker, Kubeflow, or similar technologies.
  • Familiarity with vector databases, AI inference platforms, or modern model deployment architectures.
  • Experience working within Financial Services or other highly regulated industries.
  • AWS Certified DevOps Engineer – Professional, AWS Solutions Architect, or Azure/Google Cloud certifications.

Why Join Capco

  • Deliver high-impact technology solutions for Tier 1 financial institutions.
  • Work in a collaborative, flat, and entrepreneurial consulting culture.
  • Access continuous learning, training, and industry certifications.
  • Be part of a team shaping the future of digital financial services.
  • Help shape the future of digital transformation across Financial Services and Energy.

Benefits

  • Medical, Dental, and Vision coverage.
  • 401(k) with company match, Health Savings Account (HSA), Flexible Spending Account (FSA), and commuter benefits.
  • Maternity and paternity leave, dependent care support, and tuition reimbursement.
  • Wellness reimbursement and Working Advantage employee discount marketplace.
  • A people-first culture focused on continuous learning, career growth, and professional development.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

Use of Artificial Intelligence in Talent Acquisition

At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination.

AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams.

Inclusion at Capco

We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day.

We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter.

#LI-MB1

#LI-HYBRID


Capco logo

About Capco

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

201 - 500 Employees

Headquarters location

Grand Junction, CO, US

Year founded

1958