AI Engineer

Responsibilities for this Position

Location:

Any Location / Remote

Full Part/Time:
Full time

Job Req: RQ215010

Type of

Requisition :

Regular

Clearance Level Must Currently Possess:

None

Clearance Level Must Be Able to Obtain:

None

Public Trust/Other

Required:

None

Job Family:

Data Science and Data Engineering

Job Qualifications:

Skills:

AI Systems, Artificial Intelligence (AI), Data Science, Machine Learning (ML), Python (Programming Language)

Certifications:

None

Experience:

5 + years of related experience

US Citizenship

Required:

No

Job Description:

Own your opportunity to turn data into measurable outcomes for our customers' most complex challenges. As an AI Engineer, you will be responsible for designing, developing and deploying AI models, algorithms and systems to enhance productivity, decision-making and automation within the organization . Here, you'll see the bigger picture on mission initiatives and where your program management career can go at GDIT.

MEANINGFUL WORK AND PERSONAL IMPACT

As an AI Engineer, the work you'll do at GDIT will be impactful to the mission.

* Architect and implement production-grade multi-agent AI solutions with modern orchestration frameworks, enabling reliable, transparent, and secure agentic workflows

* Build and maintain end-to-end agentic AI pipelines, from data ingestion and embedding to deployment and continuous evaluation, optimized for reusability and scalability

* Develop, test, and deploy internal AI applications that enhances people-powered, AI-enabled productivity

* Provide unified observability with logging, metrics, and alerts and analyze agent runtime behavior to tune latency, accuracy, and cost in production

* Integrate agentic AI services with existing enterprise systems and uphold AIOps practices for consistent deployment and scaling

* Collaborate with cross-functional teams including data scientists, software engineers, and product / service owners to align AI projects with business goals

* Must stay updated on emerging AI related technologies and recommend improvements to existing AI systems

WHAT YOU'LL NEED TO SUCCEED

Bring your expertise and drive for innovation to GDIT. The AI Engineer must have:

* Education:

Bachelor's Degree in Computer Science, Computer Engineering, Data Science or a related field

* Experience:

5+ years of experience in AI and machine learning, including hands-on experience with designing, developing, and deploying AI models and systems. 1+ years of experience developing products or functional prototypes using RAG and agentic AI technologies.

* Role requirements:

Proven track record of delivering end-to-end AI projects and successfully integrating AI solutions into business processes. Proficiency in programming languages such as Python, R, or Java, and deep understanding of machine learning frameworks like Tensor Flow or PyTorch. Strong hands-on experience with MCP, Lang Graph, Llama Index, or similar agentic frameworks. Deep understanding of prompt or context engineering, tool definition, and state management for agents.

Experience with cloud computing platforms, such as Azure (Preferred), OCI, AWS, or Google Cloud, including AI services like Azure AI Foundry, Bedrock, or Vertex AI. Strong background in working with large datasets and performing data preprocessing, feature engineering, and model evaluation.

* Preferred

Skills and Abilities:

Masters degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable

* Location:

Remote

* Security clearance level:
None

* US Persons 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

* Flexibility:
Full-flex work week to own your priorities at work and at home

* 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 $136,000 - $184,000. 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:

40

Travel Required:

Less than 10%

Telecommuting Options:

Remote

Work Location:

Any Location / Remote

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…