Top 71 Vector Database AWS cloud MLOps Azure cloud Jobs

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Vector Database AWS cloud MLOps Azure cloud jobs near

Systems Engineer - AI Integration - TS/SCI with Polygraph

General Dynamics Information Technology -
Herndon, VA

Apply Now

Job Details

$187,000 - $253,000 a year

Qualifications

AI models
Containerization systems
Cloud identity and access management (IAM)
Linux support
Tooling
Infrastructure as Code (IaC)
IT system monitoring
Configuration management
Application deployment
AI platforms (beyond public GPTs)
Application development
Model deployment
Data access controls implementation
Systems engineering
Cloud networking
Monitoring system implementation
IP networking
Cloud Architecture Design (Architecture design skills)
Cloud automation
TS/SCI with Polygraph
Access control management
DevOps automation
Cloud monitoring
Linux administration
Security technology solutions implementations
Identity & access management
IT security monitoring

Full Job Description

Your Impact

Own your opportunity to serve as a critical component of our nation’s safety and security. Make an impact by using your expertise to protect our country from threats.

Job Description

Bring your leading-edge technology expertise and thirst for knowledge to GDIT's premier cybersecurity contract! We are looking for an innovative, forward-thinking engineer with experience in frontier technologies like AI/ML, Automation, and Cloud/DevOps. You will be in a role with a good deal of latitude to propose improved methods, implement new processes, and research/integrate AI-centric solutions to accelerate AI-driven cybersecurity.

HOW A SYSTEMS ENGINEER (AI/ML) WILL MAKE AN IMPACT

Design and implement architectures that integrate AI/ML platforms, model-serving infrastructure, vector databases, and MLOps tooling into enterprise environments.
Design, deploy, and maintain AI/ML platforms and supporting infrastructure across cloud, hybrid, and on-prem environments.
Integrate AI services with existing enterprise systems, including SIEM/SOAR platforms, APIs, ticketing systems, and operational data sources.
Build and maintain secure, scalable pipelines for AI workloads, telemetry, logs, and other structured or unstructured data.
Automate infrastructure deployment, configuration management, and operational workflows using tools such as Terraform and Ansible.
Support Kubernetes- and container-based environments used for AI applications and model serving.
Work closely with cybersecurity teams to implement hardening, access controls, monitoring, and other security requirements for AI systems.
Participate in threat modeling, risk assessments, and ATO-related activities for AI infrastructure and integrations.
Monitor and troubleshoot issues across systems, networks, applications, and cloud environments.
Develop operational documentation including architecture diagrams, runbooks, SOPs, and integration documentation.
Advise technical leadership and mission stakeholders on implementation approaches, tradeoffs, and operational risks related to AI technologies.
Mentor junior engineers and contribute to improving engineering and operational practices across the team.

WHAT YOU'LL NEED TO SUCCEED:

Education: Bachelor’s degree in Computer Science, Information Systems, Engineering, Cybersecurity, or a related field; equivalent experience also considered.
Experience: 8+ years
Required technical skills:
Hands-on experience deploying or integrating AI/ML platforms, services, or tooling into operational systems.
Strong background in systems engineering, infrastructure engineering, solutions architecture, or related technical roles in secure environments including:
Linux administration (RHEL, CentOS, Ubuntu)
Networking fundamentals including TCP/IP, DNS, VPNs, firewalls, routing, proxies, and load balancing
Containerization and orchestration technologies such as Docker and Kubernetes
Cloud infrastructure, primarily AWS, including IAM, networking, and security services
Infrastructure and configuration management tools such as Terraform, CloudFormation, or Ansible
Scripting or development experience with Python, Bash, PowerShell, Go, or similar languages
Experience with AI/ML infrastructure such as:
Model serving platforms and APIs (MLflow, SageMaker, TorchServe, Vertex AI, Azure ML, custom REST/gRPC services)
Logging and telemetry pipelines
Relational, NoSQL, object storage, or vector database technologies
CI/CD, Git workflows, artifact management, and automated deployment pipelines
Understanding of core cybersecurity concepts, including:
Authentication and authorization (SSO, SAML, OIDC, OAuth, RBAC)
Encryption, certificates, and key management
Security monitoring and SIEM/SOAR integrations
Additional Requirements:
Strong troubleshooting and problem-solving skills
Ability to translate operational and security requirements into technical solutions
Comfortable working in fast-paced, highly collaborative environments
Strong written and verbal communication skills
Security clearance level: TS/SCI with Polygraph
Preferred Qualifications
Experience supporting AI-driven cybersecurity use cases such as threat detection, anomaly detection, UEBA, or automated incident response
Experience integrating hosted or on-prem LLM platforms
Familiarity with retrieval-augmented generation (RAG), prompt engineering, and associated data pipelines
Experience with cybersecurity platforms such as Splunk, Elastic, QRadar, EDR/XDR, IDS/IPS, or SOAR technologies
Experience operating in regulated, mission-critical, or high-security environments
Location: Herndon, VA - customer site

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.

#OpportunityOwned
#GDITCareers
#WeAreGDIT
#JET
#GDITEnhanced2026
#VA_2026Alumni

Work Requirements

Years of Experience

8 + years of related experience

may vary based on technical training, certification(s), or degree

Certification

AWS Certified AI Practitioner | Amazon Web Services (AWS) - Amazon Web Services (AWS)

Travel Required

None

Citizenship

U.S. Citizenship Required

Salary and Benefit Information

The likely salary range for this position is $187,000 - $253,000. 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.
View information about benefits and our total rewards program.

About Our Work

We are GDIT. A global technology and professional services company that delivers technology 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 over 50 countries worldwide, offering leading capabilities in digital modernization, AI/ML, cloud, cyber and application development. Together with our customers, 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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