Req ID: RQ206600
Type of Requisition: Regular
Clearance Level Must Be Able to Obtain: Top Secret/SCI
Public Trust/Other Required: None
Job Family: Software Engineering
Skills:
Cloud Computing,Kubernetes,Platform Engineering,Software Development
Certifications:
Google Professional Cloud Developer | Google - Google, AWS Certified AI Practitioner | Amazon Web Services (AWS) - Amazon Web Services (AWS), AWS Certified DevOps Engineer - Professional | Amazon Web Services (AWS) - Amazon Web Services (AWS)
Experience:
15 + years of related experience
US Citizenship Required:
Yes
Job Description:
AI/ML PLATFORM ENGINEERING SME
Transform technology into opportunity as a AI/ML Platform Engineering SME at GDIT. Shape what's next for mission-critical Defense projects while shaping what's next for your engineering career.
MEANINGFUL WORK AND PERSONAL IMPACT
As a AI/ML Platform Engineering SME, the work you'll do at GDIT will be impactful to the Defense CTO's AI/ML delivery mission. You will play a crucial role in designing, building, and sustaining end-to-end AI/ML solutions that support rapid model development, deployment, and continuous improvement across DoD and commercial customers.
Lead Platform Architecture - Own the design and implementation of the AI/ML platform, ensuring it meets scalability, reliability, and security requirements for Navy, Marine Corps, and other DoD customers.
Team Leadership & Coaching - Manage, mentor, and coach a team of AI/ML engineers; foster a culture of innovation, continuous learning, and high-quality deliverables.
CI/CD & MLOps Pipelines - Design and maintain CI/CD pipelines for data ingestion, model training, validation, and deployment using tools such as TensorFlow, PyTorch, Kubeflow, MLflow, and ArgoCD.
Cloud & Container Orchestration - Deploy and manage containerized AI/ML workloads on Kubernetes clusters across public cloud (AWS, Azure, GCP) and on-prem environments; apply IaC (Terraform, Pulumi, Ansible) for reproducibility.
Data Platform Integration - Integrate the AI/ML platform with existing data lakes, data warehouses, and secure data pipelines, ensuring compliance with DoD data handling and cybersecurity controls.
Security & Compliance - Implement and enforce security best practices (encryption, identity & access management, vulnerability scanning) for model artifacts, data, and platform services.
Stakeholder Engagement - Collaborate with product owners, system architects, and end users to translate business requirements into AI/ML solutions, produce proposals, and deliver demos that demonstrate value.
Innovation & R&D - Stay abreast of emerging AI/ML technologies (e.g., Federated Learning, Auto-ML, edge inference) and evaluate their applicability to GDIT missions.
WHAT YOU'LL NEED TO SUCCEED
Bring your engineering expertise along with a drive for innovation to GDIT. The Software Engineer SME must have:
? Education: Bachelor of Science in Electrical & Computer Engineering, Computer Science, or other STEM field
? Experience: 15+ years of related experience
? Technical skills:
Strong proficiency in at least one ML framework (TensorFlow, PyTorch, JAX, ONNX).
Hands-on experience with Kubernetes, Helm, and cloud-native CI/CD tools (GitLab CI, ArgoCD).
Expertise in IaC (Terraform, Pulumi, Ansible) and container registry management.
Solid understanding of data pipelines, ETL/ELT processes, and data lake architectures.
Experience securing AI/ML workloads (SaaS, on-prem) and implementing DoD and other AI/ML security controls.
Proven ability to lead and mentor cross-functional engineering teams.
Excellent communication, stakeholder-management, and consultative selling skills.
U.S. citizenship required; eligibility for DoD security clearance (Secret or higher) preferred.
? Security clearance level: TOP SECRET/SCI
? US citizenship required
? Role requirements:
Manage, oversee, and contribute to the architecture and maintenance of robust, scalable AI/ML pipelines, including data preprocessing, feature engineering, model training, and serving.
Manage, oversee, and contribute to the deployment, monitoring, and tuning of Kubernetes clusters for high-throughput AI workloads; manage cluster scaling, resource allocation, and cost optimization.
Develop and enforce governance policies for model versioning, lineage, and auditability.
Manage, oversee, and contribute to the integration of AI/ML models with existing enterprise applications and APIs, ensuring seamless delivery to end users.
Lead the sustainment platforms and solutions through patching, upgrading, and vulnerability remediation.
Provide subject-matter expertise on DevSecOps and AI/ML best practices, tooling, and architecture to both technical and non-technical audiences.
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 AI/Ml Platform Engineering at GDIT and you'll find endless opportunities to grow alongside colleagues who share your dedication to advancing innovation.
The likely salary range for this position is $188,700 - $255,300. 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.
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.
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 https://gdit.com/tc.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
