Generative AI Engineer - Washington D.C. - Ability to Obtain Secret Clearance

Generative AI Engineer

needed for a Direct Hire, opportunity with

SOC's

direct client located in

Washington, DC.

Onsite, full time and can sit in any of the below locations:

Atlanta, Georgia

Austin, Texas

Nashville, Tennessee

Albany, New York

Washington D.C. Metro

Sacramento, California

**Due to federal requirements, candidates must be able to obtain a S

ecret Security Clearance

to be considered for this role.*

Our AI & Data team provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our team help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively with organizational intelligence programs and differentiated strategies to win in their chosen markets.

Job Responsibilities:

Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases

Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products

Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation

Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions

Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

Required Qualifications:

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field

2+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions

2+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow

1+ years of technology consulting experience in the Federal Health space

Active certification in Python, PySpark, PyTorch, or TensorFlow

Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.

Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.

Preferred Qualifications:

Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field

Ability to obtain and maintain a US government security clearance

2+ years of experience deploying machine learning models into production environments

2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions

2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes

1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

Employment Prerequisites

The following requirements must be met to be eligible for this position: successful completion of a background investigation and drug urinalysis.

SOC, a Day & Zimmermann company, is an Equal Opportunity Employer, EOE AA M/F/Vet/Disability.

Note: Any pay ranges displayed are estimations, which may have been provided by job boards. Actual pay is determined by an applicant’s experience, technical expertise, and other qualifications as listed in the job description. All qualified applicants are welcome to apply.

#INDSOC

Estimated Min Rate

: $98000.00

Estimated Max Rate

: $140000.00