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Remote Generative Ai Engineer Jobs in Clinton, MD

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 ...

PhoenixTeam

GenAI Engineer

Arlington, VA · Remote

Applied AI Engineering & Delivery * Design, implement, fine-tune, and deploy generative AI and ML solutions aligned to real business use cases. * Translate technical and business requirements into ...

ManTech

AI Engineer

Washington, DC · On-site +1

$141K - $236K/yr

The AI Engineer supports the development and operationalization of advanced AI and agentic AI ... For Remote Opportunities), education and certifications as well as Federal Government Contract ...

System One

AI Engineer

Washington, DC · Remote

$41.85/hr

AI Engineer Location: Washington, DC (Remote) Type: Contract Compensation: $41.85/HR on W2 Security Clearance: Public Trust Responsibilities * Build and deploy agentic AI systems capable of ...

InterImage

Software Engineer

Arlington, VA · Remote

This role is ideal for candidates who are passionate about software engineering, curious about Generative AI, and eager to help modernize how technology supports national security and operational ...

InterImage

Software Engineer

Arlington, VA · On-site +1

This role is ideal for candidates who are passionate about software engineering, curious about Generative AI, and eager to help modernize how technology supports national security and operational ...

Promise

Software Engineer - AI

Washington, DC · Remote

$150K - $215K/yr

As a Software Engineer - AI, you'll design and deliver end-to-end generative AI and large language model (LLM) applications that directly power this mission. You'll build AI pipelines and ...

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All JobsGenerative Ai Engineer JobsRemote Generative Ai Engineer JobsRemote Generative Ai Engineer Jobs in Clinton, MD

Remote Generative Ai Engineer information

See Clinton, MD salary details

$37.8K

$115.2K

$190.4K

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

As of Aug 18, 2026, the average yearly pay for remote generative ai engineer in Clinton, MD is $115,203.00, according to ZipRecruiter salary data. Most workers in this role earn between $82,500.00 and $150,600.00 per year, depending on experience, location, and employer.

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 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 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.

How much does a remote generative AI engineer make?

A remote generative AI engineer typically earns between $100,000 and $160,000 annually, depending on experience, skills, and the company's location. Senior roles or those with specialized expertise in machine learning and deep learning can command higher salaries, especially with proficiency in tools like TensorFlow or PyTorch.

What are the best remote generative AI engineer jobs?

Remote generative AI engineer jobs are available across technology companies, research institutions, and startups, often requiring skills in machine learning frameworks like TensorFlow or PyTorch and experience with natural language processing or computer vision. These roles typically involve developing and deploying AI models remotely, with some positions offering flexible schedules and requiring certifications or advanced degrees in computer science or related fields.

What is the average salary of a remote generative AI engineer?

The average salary for a remote generative AI engineer typically ranges from $100,000 to $150,000 annually, depending on experience, skills in machine learning frameworks, and the complexity of projects. Senior roles or those with specialized expertise in deep learning and large language models can earn higher compensation. Remote positions often offer competitive pay comparable to on-site roles in the tech industry.

What job categories do people searching Remote Generative Ai Engineer jobs in Clinton, MD look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Clinton, MD are:

What cities near Clinton, MD are hiring for Remote Generative Ai Engineer jobs?

Cities near Clinton, MD with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you
Infographic showing various Remote Generative Ai Engineer job openings in Clinton, MD as of June 2026, with employment types broken down into 92% Full Time, 4% Part Time, and 4% Contract. Highlights an 100% Remote job distribution, with an average salary of $115,203 per year, or $55.4 per hour.

GenAI Data Automation Engineer

System One

Washington, DC • Remote

$48.95/hr

Contractor

Medical, Dental, Vision, Life, Retirement

Re-posted 17 days ago

Job description

Job Title: GenAI Data Automation Engineer Location: Washington, DC (Remote) Type: Contract To Hire Compensation: $48.95 /hr Security Clearance: Public Trust Responsibilities

  • Design and maintain data pipelines in AWS using S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB, and Step Functions.
  • Develop ETL/ELT processes to move data between DynamoDB, SQL Server (AWS), and Azure SQL systems.
  • Integrate AWS Connect CRM data into the enterprise data pipeline for analytics and operational reporting.
  • Engineer, enhance ingestion pipelines with Apache Spark, Flume, Kafka for real-time and batch processing into Apache Solr, AWS Open Search platforms.
  • Leverage Generative AI services and Frameworks (AWS Bedrock, Amazon Q, Azure OpenAI, Hugging Face, LangChain) to create automated processes for vector generation and embeddings, automate data quality checks, metadata tagging, and lineage tracking, and enhance ingestion/ETL with LLM-assisted transformation and anomaly detection.
  • Build conversational BI interfaces that allow natural language access to Solr and SQL data.
  • Develop AI-powered copilots for pipeline monitoring and automated troubleshooting.
  • Implement SQL Server stored procedures, indexing, query optimization, profiling, and execution plan tuning to maximize performance.
  • Apply CI/CD best practices using GitHub, Jenkins, or Azure DevOps for data pipelines and GenAI model integration.
  • Ensure security and compliance through IAM, KMS encryption, VPC isolation, RBAC, and firewalls.
  • Support Agile DevOps processes with sprint-based delivery of pipeline and AI-enabled features.
Requirements:
  • BS in Computer Science or related field with 2+ years of data engineering, automation experiences.
  • Hands-on experience with SQL, SSIS, Python, Spark, Bash, PowerShell, AWS/Azure CLIs.
  • Experience with AWS services like S3, RDS/SQL Server, Glue, Lambda, EMR, DynamoDB.
  • Familiarity with Apache Flume, Kafka, Solr for large-scale data ingestion and search.
  • Familiarity with LLM, Gen AI frameworks using AWS Bedrock, Azure OpenAI or open source platforms and tools.
  • Experience with integrating REST API calls in workflows.
  • Familiarity with JIRA, GitHub / Azure DevOps / Jenkins for SDLC and CI/CD automation.
  • Strong troubleshooting and performance optimization skills in SQL, Spark or other data solutions.
  • Experience operationalizing Generative AI (GenAI Ops) pipelines, including model deployment, monitoring, retraining, and lifecycle management for LLMs and AI-enabled data workflows.
  • Good communication and presentation skills.
  • Ability to obtain Federal government Public Trust clearance.
Preferred (plus)
  • Certifications: AWS Data Engineer, AWS AI/ML Specialty, Azure AI Engineer, Databricks Data Engineer.
  • Experience implementing RAG pipelines, embeddings, and vector search with Solr, OpenSearch, FAISS, Pinecone, or Pgvector/SQL server vector types.
  • Experience with GenAI powered coding tools such as Claude Code, OpenAI Codex, VS Code.
  • Experience with multi-cloud data integration (AWS – Azure SQL).
  • Familiarity with Microsoft BizTalk and SSIS for SQL Server ETL workflows.
  • Knowledge of data lineage/governance tools (Purview, Unity Catalog, AWS Glue Catalog).
  • Familiarity with Infrastructure-as-Code (Terraform/CloudFormation, Bicep) for deployments.
  • Experience with compliance frameworks (FedRAMP, PCI-DSS, HIPAA).

System One, and its subsidiaries including Joulé and Mountain Ltd., are leaders in delivering outsourced services and workforce solutions across North America. We help clients get work done more efficiently and economically, without compromising quality. System One not only serves as a valued partner for our clients, but we offer eligible employees health and welfare benefits coverage options including medical, dental, vision, spending accounts, life insurance, voluntary plans, as well as participation in a 401(k) plan.

System One is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, age, national origin, disability, family care or medical leave status, genetic information, veteran status, marital status, or any other characteristic protected by applicable federal, state, or local law.

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Ref: #851-Rockville-S1