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JobsGeneral Dynamics

AI Platform Engineer

General Dynamics

AI Platform Engineer

General Dynamics

USA FL MacDill AFB

·

On-site

·

Full-time

·

2mo ago

Compensation

$127,500 - $172,500

Benefits and perks

Healthcare

401(k)

Unlimited Pto

Parental Leave

Required skills

Kubernetes

Docker

Python

API Development

MLOps

Monitoring/Logging

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:

Skills:

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:

As an AI Platform Engineer (LLM & MLOps), the work you’ll do at GDIT will be impactful to the mission of USCENTCOM. You will play a crucial role in the design, deploy, and operate secure, scalable AI inference and orchestration platforms supporting USCENTCOM’s Data Analytical Environment (DAE) and AI environment. This role focuses on platform reliability, workflow stability, and operationalizing commercial LLMs in on-premises and hybrid environments.

The engineer will work with GPU-enabled Kubernetes clusters, model serving frameworks, vector databases, and secure APIs to enable Retrieval-Augmented Generation (RAG) and agent-based AI workflows. This position does not focus on model training or AI research; instead, it emphasizes execution, integration, and platform resilience. This role supports the evolution of enterprise AI capabilities from foundational platforms to reusable, governed agent-based services.

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, Fast Chat, 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 DoD 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, Open Search).

  • Familiarity with MLOps toolchains (MLflow, CI/CD pipelines, artifact registries).

  • Experience operating systems in secure DoD environments.

  • Knowledge of monitoring/logging stacks (Prometheus, Grafana, ELK/Loki).

  • Desired Skills

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

#armajobs

#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%

Telecommuting Options:

Onsite

Work Location:

USA FL Mac Dill 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 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.

We are GDIT. A global technology and professional services company that delivers consulting, technology and mission services to every major agency across the U.S. government, defense and intelligence community. Our 30,000 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 capabilities in digital modernization, AI/ML, Cloud, Cyber and application development. Together with our clients, we strive to create a safer, smarter world by harnessing the power of deep expertise and advanced technology.

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

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About General Dynamics

General Dynamics

General Dynamics Corporation (GD) is an American industrial and technology company based in Reston, Virginia. It is primarily a developer and producer of advanced military equipment of a wide variety, such as nuclear submarines, main battle tanks, and armoured fighting vehicles.

10,001+

Employees

Grant Falls Church

Headquarters

$47B

Valuation

Reviews

3.8

10 reviews

Work-life balance

3.8

Compensation

2.5

Culture

4.2

Career

3.5

Management

3.2

65%

Recommend to a friend

Pros

Good work-life balance and flexible hours

Excellent health benefits and retirement plans

Job security and stability

Cons

Below average salary and compensation

Limited upward mobility and career advancement

Bureaucratic processes and outdated systems

Salary Ranges

60 data points

Junior/L3

Mid/L4

Junior/L3 · Data Analyst

0 reports

$75,620

total per year

Base

-

Stock

-

Bonus

-

$64,277

$86,963

Interview experience

2 interviews

Difficulty

3.0

/ 5

Duration

14-28 weeks

Interview process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Final Decision

Common questions

Coding/Algorithm

Technical Knowledge

Behavioral/STAR

Past Experience

Defense Industry Knowledge