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Gen Ai Developer Jobs in Washington, DC (NOW HIRING)

AI Architect

Mclean, VA ยท On-site

$190K - $230K/yr

As AI Architect, you'll own the north star for gen AI and ML engineering at KLDiscovery and build alongside the team to make it real. This is one of the most interesting AI problem sets in enterprise ...

Senior AI Systems Architect

Ashburn, VA ยท On-site

$145K - $208K/yr

AI/ML & Gen-AI Solution Engineering * Lead design and deployment of AI/ML and Gen-AI solutions including: * RAG architectures * Agentic AI frameworks * LLM orchestration * Computer Vision * Image ...

AI/ML & Gen-AI Solution Engineering * Lead design and deployment of AI/ML and Gen-AI solutions including: * RAG architectures * Agentic AI frameworks * LLM orchestration * Computer Vision * Image ...

Required:12+ years of experience in enterprise architecture, AI/ML engineering, cloud modernization, or advanced analytics solutions.5+ years designing and implementing AI/ML or Gen-AI solutions in ...

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Gen Ai Developer information

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$21

$51

$114

How much do gen ai developer jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for gen ai developer in Washington, DC is $51.27, according to ZipRecruiter salary data. Most workers in this role earn between $26.68 and $62.07 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 Washington, DC?

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

What job categories do people searching Gen Ai Developer jobs in Washington, DC look for?

The top searched job categories for Gen Ai Developer jobs in Washington, DC are:

Infographic showing various Gen Ai Developer job openings in Washington, DC as of August 2026, with employment types broken down into 48% Full Time, and 52% Contract. Highlights an 100% In-person job distribution, with an average salary of $106,651 per year, or $51.3 per hour.

Gen AI Developer with Python for Reston VA

Hexaware Technologies, Inc

Reston, VA โ€ข On-site

$52.25 - $72/hr

Other

Re-posted 4 days ago


Job description

ROLE: AWS Python + Gen AI Developer
Location- Reston, VA - Day one onsite
Technical Skills:
  • 10+ years of experience in software development, with 5+ years in AWS and AI/ML technologies.
  • Strong proficiency in Python programming and frameworks (e.g., Flask, FastAPI, Django).
  • Hands-on experience with AWS services (e.g., Lambda, S3, EC2, IAM, CloudFormation).
  • Experience with GenAI tools (e.g., OpenAI, Hugging Face, or custom LLMs).
  • Knowledge of DevOps tools like Docker, Kubernetes, and CI/CD pipelines.
  • Familiarity with RESTful APIs and integration of AI/ML solutions.
  • Strong debugging and problem-solving skills in production environments.
  • Soft Skills:
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced environment and manage competing priorities.