AI Engineer

Job Description: AI Engineer

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 enhance 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 TensorFlow or PyTorch. Strong hands-on experience with MCP, LangGraph, LlamaIndex, 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: Master’s degree. Advanced coursework or a Certification in AI, Machine Learning or related areas desirable.

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.

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. GDIT typically provides new employees with 15 days of paid leave per calendar year to be used for vacations, personal business, and illness and an additional 10 paid holidays per year. Paid leave and paid holidays are prorated based on the employee’s date of hire. The GDIT Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees. 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.

Key skills/competency

• AI Systems
• Artificial Intelligence
• Machine Learning (ML)
• Python Programming
• Agentic AI
• RAG Technologies
• Cloud Platforms (Azure, AWS, GCP)
• Prompt Engineering
• AIOps
• Data Engineering