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Remote Generative Ai Engineer Jobs in Washington, DC

Rios Partners

AI Engineer

Arlington, VA · On-site +1

$100K - $110K/yr

Write and maintain documentation with the aid of generative AI tools.Collaboration & Continuous ... Strong programming skills in Python or JavaScript/TypeScript.Familiarity with LLM concepts (tokens ...

ManTech

Data and AI Solution Engineer

Herndon, VA · Remote

$179K - $318K/yr

MANTECH seeks a Solution Engineer specialized in Generative AI and Rapid Prototyping to support our ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

Interon IT Solutions

AI Product Owner

Chantilly, VA · Remote

Remote Employment Type: W2 Industry: Healthcare We are seeking an experienced AI Product Owner to ... Collaborate with AI/ML engineers, data scientists, and architects throughout the AI product ...

Mondo

AI Product Manager

Centreville, VA · Remote

$140K - $150K/yr

AI Product Manager Location-Type: Remote (U.S. Based) Start Date Is: ASAP Employment Type ... This individual will partner closely with customers, Product leadership, AI engineers, and cross ...

Relativity

Software Engineer

Washington, DC · On-site +1

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... Experience working with large language model (LLM) APIs or generative AI systems * Experience ...

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Remote Generative Ai Engineer information

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$43K

$131.2K

$216.9K

How much do remote generative ai engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for remote generative ai engineer in Washington, DC is $131,228.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $171,600.00 per year, depending on experience, location, and employer.

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

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

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

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.
What are the most commonly searched types of Generative Ai Engineer jobs in Washington, DC? The most popular types of Generative Ai Engineer jobs in Washington, DC are:
What are popular job titles related to Remote Generative Ai Engineer jobs in Washington, DC? For Remote Generative Ai Engineer jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Remote Generative Ai Engineer jobs in Washington, DC look for? The top searched job categories for Remote Generative Ai Engineer jobs in Washington, DC are:
Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Washington, DC as of August 2026, with employment types broken down into 76% Full Time, 19% Part Time, and 5% Contract. Highlights an 100% Remote job distribution, with an average salary of $131,228 per year, or $63.1 per hour.

GenAI Engineer

Accenture Federal Services

Washington, DC • Remote

Full-time

Re-posted 17 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

44th of 485 rated business services

Job description

At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.
Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.
Join us to drive positive, lasting change that moves missions and the government forward!

We are entering a new chapter in technology - one shaped by a generalization of AI. Accenture is a trusted industry leader at the forefront of AI innovation, providing clients with scalable AI and generative AI solutions for reinvention - to solve new problems, create new inventions, change how we work and live, and transform industries and governments.

Seeking a Generative AI Engineer with the technical acumen and problem-solving ability to identify and develop new opportunities for the use of AI agents to solve real-world mission-critical problems for our clients. You will have expertise in the key components to power GenAI adoption - including rapid prototyping of custom applications, search capabilities such as R.A.G, Prompt Engineering Expertise, Large Language Model Expertise (Selection, fine tuning, and deployment) and GenAI Use Case evaluation. You will collaborate with a community of GenAI leaders, software and systems engineers, data scientists, solutions architects, and product owners to deliver innovative world-class solutions that will transform our clients ecosystem and reinvent the way they operate.

The Work:

  • Design and build GenAI use cases based on client's needs and specific data
  • Understanding of Agentic AI frameworks and design and when they are appropriate for use
  • Develop and deploy generative AI models using platforms such as Amazon Kendra, Google Vertex AI, and AWS Bedrock.
  • Implement large language models (LLMs) and transformer models to create advanced AI applications.
  • Integrate solutions with cloud-based AI services such as Google Cloud Document AI, Google Cloud Gemini, Google Cloud Gemma, and Google Cloud Generative AI Language Models. .
  • Show your curiosity, motivation, and passion for experimentation and continuous learning to drive AI innovation that is applicable across enterprise client domains.

Here's what you need:

  • Experience building, deploying or supporting production AI platforms, including scalability, reliability, GPU infrastructure, monitoring, and collaboration, with ML engineers;
  • Hands-on experience delivering production solutions on AWS, Azure, or GCP, including AI services such as Bedrock, Azure AI, Vertex AI, or similar.
  • Experience deploying and managing containerized applications on Kubernetes in production environments;
  • Proven production operations experience, monitoring, troubleshooting, root cause analysis, incident resolution, performance optimization of AI platforms. Plus, modern Gen AI technologies such as LLMs, transformer-based models, and RAG.
  • US citizenship requirement

Bonus points if you have:

  • Strong understanding of AI ethics, responsible AI, and generative AI data ethics.
  • Experience in LLM fine-tuning and LLMOps.
  • Ability to author and validate prompts for AI models.
  • Familiarity with NVIDIA AI Foundations and OpenAI ChatGPT.
  • Experience with AI-assisted development platforms (e.g., Cursor, Windsurf, Claude, etc.).
  • Experience implementing tool-using AI agents to assist in API integration - enabling agent access to external data sources and web services.
  • Experience using deployment/virtualization tools in containerized environments (e.g., VMware, Docker, Kubernetes)
  • Proficiency in scripting with Linux Bash, PowerShell, or equivalent automation tools

As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply.

The pay range for the states of California, Colorado, Hawaii, Illinois, Maine, Maryland, Massachusetts, Minnesota, New Jersey, New York, Vermont, Virginia, Washington, and the District of Columbia, and the city of Cleveland is:
$98,500—$184,900 USD
What We Believe
As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement.
Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women.
Requesting An Accommodation
Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.

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