AI Platform Engineer

Requirements

• API Development, Application Programming Interface (API), Collaboration, Kubernetes, RESTful APIs Certifications:
• None Experience:
• 8 + years of related experience US Citizenship Required:
• Yes
• Job Description:
• MEANINGFUL WORK AND PERSONAL IMPACT
• Duties and Responsibilities
• Design, deploy, and maintain GPU-enabled Kubernetes environments for AI inference and orchestration.
• Operationalize commercial LLM inference services using frameworks such as Text Generation Inference (TGI), KServe, FastChat, Triton, or similar.
• Integrate vector databases and knowledge repositories to support RAG and graph-augmented LLM workflows.
• Build and maintain secure REST APIs for AI job submission, inference requests, and workflow orchestration.
• Implement MLOps and platform lifecycle practices, including model versioning, containerization, CI/CD, and reproducibility.
• Enforce multi-tenant isolation, RBAC, namespace quotas, and resource controls across teams.
• Implement monitoring, logging, and alerting for AI services, GPU utilization, and workflow health.
• Support secure deployment in air-gapped, on-prem, and hybrid environments, adhering to DoW security requirements.
• Collaborate with platform, automation, and data teams to align AI capabilities with mission workflows.
• Support prompt, rule, and heuristic-based agents by ensuring reliable inference, retrieval, and context delivery.
• Maintain conversation-aware context pipelines used for tagging and classification agents.
• WHAT YOU'LL NEED TO SUCCEED
• Bring your expertise and drive for innovation to GDIT. The Data Engineer Principal must have:
• Education: Bachelor's degree in Computer Science, Engineering, or related technical field (or equivalent experience
• Certification: DoW Directive 8140 compliant
• Experience: 8+ years of related experience
• Required Skills
• Strong experience with Kubernetes, containerization (Docker/Podman), and GPU scheduling.
• Hands-on experience deploying LLM inference services (commercial or open-source).
• Proficiency with Python and API development for platform services.
• Experience integrating vector databases (e.g., FAISS, Milvus, Weaviate, OpenSearch).
• Familiarity with MLOps toolchains (MLflow, CI/CD pipelines, artifact registries).
• Experience operating systems in secure DoW environments.
• Knowledge of monitoring/logging stacks (Prometheus, Grafana, ELK/Loki).
• Experience with RAG or agent-based AI architectures.
• Familiarity with Kubernetes-native workflow engines (Argo, Kubeflow).
• Exposure to cost tracking or usage metering for shared compute platforms.
• Understanding of DoW AI governance, ethical AI, and responsible deployment.
• Security clearance level: Active Secret clearance required; TS/SCI preferred or eligible
• 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, competitive pay and paid time off
• Community: Award-winning culture of innovation and a military-friendly workplace
• #CENTCOMCITS
• #gditpriority
• 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:
• 40
• Travel Required:
• Less than 10%
• T elecommuting Options:
• Onsite
• Work Location:
• USA FL MacDill AFB
• Additional Work Locations:
• Total Rewards at GDIT:
• Our benefits package for all US-based employees includes a variety of medical plan options, some with H

Benefits

Additional Information

Type of Requisition: Regular Clearance Level Must Currently Possess: Secret Clearance Level Must Be Able to Obtain: Top Secret/SCI Public Trust/Other Required: None Job Family: Data Science and Data Engineering Job Qualifications:

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