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Senior AI Engineer - TS/SCI with Polygraph at GD Information Technology, Inc. · Katori

Asks for

The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP)”
The ad says“Required Skills and Abilities: Works independently under general supervision, strong documentation and communication skills, strong user interaction and business analysis skills.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Skills and Abilities: Works independently under general supervision, strong documentation and communication skills, strong user interaction and business analysis skills.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP)”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP)”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”
The ad says“Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.”

Values

The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”
The ad says“Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.”

Type of Requisition:

Regular

Clearance Level Must Currently Possess:

Top Secret SCI + Polygraph

Clearance Level Must Be Able to Obtain:

Top Secret SCI + Polygraph

Public Trust/Other Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship Required:

Yes

Job Description:

Seize your opportunity to make a personal impact as an AI Engineer supporting national security activities. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career.

At GDIT, people are our differentiator. As an AI Engineer, you will help ensure today is safe and tomorrow is smarter. Our work depends on an AI Engineer joining our team to support our intelligence customer in Chantilly, VA.

How an AI Engineer Will Make an Impact:

Develops innovative AI-driven solutions to solve complex problems and enhance business processes.
Collects, cleans, and preprocesses large volumes of structured and unstructured data from various sources, ensuring data quality, integrity and relevance for model training and evaluation.
Trains, validates, and optimizes large language models using state-of-the-art techniques and frameworks. Evaluates model performance, interpret results, and iterate on model design as needed.
Extracts, selects, and engineers relevant features from raw data to improve model performance and generalization capabilities. Utilizes domain knowledge and data exploration techniques to identify informative features.
Monitors model performance, reliability, and scalability in production environments, implementing automated monitoring and alerting systems to detect anomalies and performance degradation.
Documents technical designs, implementation details, and best practices for AI solutions.
Collaborates with cross-functional teams to include data scientists, software engineers, product managers, and other stakeholders to understand requirements, prioritize projects and delivery impactful AI Solutions.

What You'll Need to Succeed:

Education: Bachelor's degree in Engineering, Computer Science, or other related analytical, scientific, or technical discipline.
Required Experience: 5+ years of related experience.
Required Technical Skills: Experience with designing, developing, implementing and using machine learning algorithms and large language models to address business challenges and opportunities, such as predictive analytics, natural language processing, computer vision and recommender systems; understanding of Agentic AI frameworks (e.g. Pydantics, CrewAI, Langchain), proficiency in programming languages such as Python and Java.
Security Clearance Level: TS/SCI w/ Polygraph
Required Skills and Abilities: Works independently under general supervision, strong documentation and communication skills, strong user interaction and business analysis skills.
Preferred Skills: Understanding of machine learning algorithms, including supervised and unsupervised learning, deep learning, reinforcement learning, Large Language Models, generative AI and ensemble methods; familiarity with machine learning libraries and frameworks; knowledge of software development best practices, version control systems and agile methodologies.
Location: On Customer Site.
US Citizenship Required.

GDIT IS YOUR PLACE

At GDIT, the mission is our purpose, and our people are at the center of everything we do.

Growth: AI-powered career tool that identifies career steps and learning opportunities
Support: An internal mobility team focused on helping you achieve your career goals
Rewards: Comprehensive benefits and wellness packages, 401K with company match, and competitive pay and paid time off
Community: Award-winning culture of innovation and a military-friendly workplace

OWN YOUR OPPORTUNITY Explore a career in data science and engineering at GDIT and you’ll find endless opportunities to grow alongside colleagues who share your determination for solving complex data challenges.

The likely salary range for this position is $127,500 - $172,500. This is not, however, a guarantee of compensation or salary. Rather, salary will be set based on experience, geographic location and possibly contractual requirements and could fall outside of this range.

Scheduled Weekly Hours:

Travel Required:

None

Telecommuting Options:

Onsite

Work Location:

USA VA Chantilly

Additional Work Locations:

Total Rewards at GDIT:

Our benefits package for all US-based employees includes a variety of medical plan options, some with Health Savings Accounts, dental plan options, a vision plan, and a 401(k) plan offering the ability to contribute both pre and post-tax dollars up to the IRS annual limits and receive a company match. To encourage work/life balance, GDIT offers employees full flex work weeks where possible and a variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave. To ensure our employees are able to protect their income, other offerings such as short and long-term disability benefits, life, accidental death and dismemberment, personal accident, critical illness and business travel and accident insurance are provided or available. We regularly review our Total Rewards package to ensure our offerings are competitive and reflect what our employees have told us they value most.

Our Identity Verification Process:

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during virtual interviews. We reserve the right to take your picture to verify your identity and prevent fraud. By proceeding, you authorize the collection, processing, and use of your biometric data for identity verification and security purposes.

About Our Work:

We are GDIT. A global technology and professional services company that delivers technology solutions and mission services to every major agency across the U.S. government, defense and intelligence community. Our 26,000 experts extract the power of technology to create immediate value and deliver solutions at the edge of innovation. We operate across 50+ countries worldwide, offering leading mission-ready capabilities in AI, cloud, cyber and software development.

Join our Talent Community to stay up to date on our career opportunities and events at

gdit.com/tc.

Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans