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Generative Ai Engineer Jobs in Silver Spring, MD

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Thomson Reuters

Generative AI & Machine Learning Engineer

Mclean, VA · On-site

$98K - $134K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role As a Generative AI and Machine Learning Engineer, you will be responsible for supporting product development efforts that range from generative AI and machine learning application ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

Global Alliant Inc

AI Engineer

Rockville, MD · On-site

$140K/yr

AI Engineer Location: Remote/Hybrid (subject to contract requirements) Clearance: Must be eligible ... Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies

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Generative Ai Engineer information

See Silver Spring, MD salary details

$39.3K

$119.8K

$198K

How much do generative ai engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for generative ai engineer in Silver Spring, MD is $119,778.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,800.00 and $156,600.00 per year, depending on experience, location, and employer.

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

To thrive as a Generative AI Engineer, you need a deep understanding of machine learning, deep learning architectures (such as GANs and transformers), and proficiency in programming languages like Python, along with a degree in computer science, engineering, or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and relevant cloud platforms, as well as certifications in AI or ML, are highly valuable. Strong problem-solving skills, creativity, and effective communication help engineers collaborate and innovate within diverse, multidisciplinary teams. These skills are critical for developing advanced AI models, driving continuous improvement, and successfully translating complex research into practical applications.

What does a generative AI engineer do?

As a Generative AI Engineer, your typical responsibilities involve designing, developing, and optimizing generative models for tasks such as image synthesis, natural language generation, or data augmentation. You will often collaborate closely with data scientists, researchers, and product teams to translate business or research goals into scalable AI solutions. Day-to-day work may include experimenting with different neural network architectures, optimizing model performance, and deploying models to production environments. Many roles also offer opportunities to contribute to publications or open-source projects, and there is strong potential for career growth into lead engineering or research positions as you gain experience.

What is a generative AI engineer?

A Generative AI Engineer is a specialized software engineer who designs, develops, and optimizes AI models that generate content such as text, images, audio, or video. They work with deep learning frameworks, train large-scale models, and fine-tune pre-trained architectures to improve performance. Their role involves data preprocessing, model deployment, and continuous optimization to enhance AI-generated outputs. Generative AI Engineers typically collaborate with data scientists, researchers, and product teams to integrate AI solutions into applications and services.

What are the most commonly searched types of Generative Ai Engineer jobs in Silver Spring, MD? The most popular types of Generative Ai Engineer jobs in Silver Spring, MD are:
What are popular job titles related to Generative Ai Engineer jobs in Silver Spring, MD? For Generative Ai Engineer jobs in Silver Spring, MD, the most frequently searched job titles are:
What job categories do people searching Generative Ai Engineer jobs in Silver Spring, MD look for? The top searched job categories for Generative Ai Engineer jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Generative Ai Engineer jobs? Cities near Silver Spring, MD with the most Generative Ai Engineer job openings:
Generative Ai Engineer jobs near you
Infographic showing various Generative Ai Engineer job openings in Silver Spring, MD as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 67% Physical, 3% Hybrid, and 30% Remote job distribution, with an average salary of $119,778 per year, or $57.6 per hour.

AI Engineer

Global Alliant Inc

Rockville, MD • On-site, Remote

Full-time

Re-posted 21 days ago

Job description

Position: AI Engineer
Location: Remote/Hybrid (subject to contract requirements)
Clearance: Must be eligible to obtain and maintain a Public Trust

Criteria: Need US citizenshipbecause of federal regulations and the sensitive nature of the work involved.


Key Qualifications:

  • 5+ years of experience in AI/ML, Data Science, or Data Engineering
  • 3+ years of experience working with healthcare data
  • Strong experience with Python, SQL, Machine Learning, NLP, and Generative AI technologies
  • Experience with healthcare datasets, including Medicare, Medicaid, claims, provider, beneficiary, or clinical data
  • Familiarity with healthcare interoperability standards such as FHIR and HL7
  • Experience with cloud platforms (AWS, Azure, or GCP)
  • Knowledge of HIPAA, healthcare data governance, and federal compliance requirements
  • Experience supporting federal healthcare programs or CMS initiatives is highly preferred


Preferred Skills:

  • Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG)
  • Databricks, Snowflake, Spark/PySpark
  • Healthcare analytics, fraud/waste/abuse detection, risk adjustment, and population health initiatives


If interested in applying for the position, please reach out to me at mayuri.s@globalalliantinc.com





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About Global Alliant

Sourced by ZipRecruiter

Global Alliant is an Innovative and Award winning Information Technology and Software Development Company based in Maryland. We partner with clients to transform their complex and mission critical business challenges using Digital Transformation, Cloud Modernization, Agile Engineering, and Process Automation Solutions. Our core capabilities reach across Public Sectors composed of Federal, State, and Local Government Agencies, and deliver the Best in Class Solutions. Global Alliant understands rapid policy changes to bring suitable program and delivery oversight coupled with technical subject matter expertise to not only meet but exceed client expectations.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Columbia, MD, US

Year founded

2016

Social media

Twitter

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