Artificial Intelligence & Machine Learning Architect

Overview

Remote
USD 166,816.00 - 218,500.00 per year
Full Time

Skills

Security Clearance
Business Intelligence
Agile
Product Requirements
CMM
Training
Continuous Integration and Development
Lifecycle Management
ProVision
Management
Regulatory Compliance
Optimization
Documentation
Sprint
KPI
Dashboard
SaaS
Science
Information Systems
Business Analytics
Business Analysis
Workflow
Amazon SageMaker
Microsoft Azure
Google Cloud
Google Cloud Platform
Vertex
TensorFlow
PyTorch
scikit-learn
XGBoost
Keras
Python
Docker
Orchestration
Kubernetes
Machine Learning Operations (ML Ops)
Continuous Integration
Continuous Delivery
Data Governance
Privacy
NIST 800-53
FedRAMP
Terraform
Amazon Web Services
Telecommuting
Taxes
Apache Flex
Military
Insurance
Professional Services
Innovation
Artificial Intelligence
Machine Learning (ML)
Cloud Computing
Application Development

Job Details

Type of Requisition:
Regular

Clearance Level Must Currently Possess:
None

Clearance Level Must Be Able to Obtain:
None

Public Trust/Other Required:
BI Full 6C (T4)

Job Family:
Artificial Intelligence

Job Qualifications:

Skills:
Artificial Intelligence (AI), Cloud Development, Machine Learning
Certifications:
None
Experience:
15 + years of related experience
ship Required:
No

Job Description:

Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Expert supporting Case Management Modernization (CMM) Program The CMM program is an initiative to support the Administrative Office of the US Courts (AO)in developing a modern cloud-based solution to support all 204+ federal courts across the United States.

GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Architect will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

RESPONSIBILITIES:
  • Define, document, and maintain a scalable, modular AI/ML architecture that aligns with enterprise cloud strategy and product requirements for the CMM initiative
  • Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
  • Integrate MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models
  • Ensure multi-tenant and multi-region AI/ML workloads are elastic, highly available, and cost-efficient
  • Leverage Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in accordance with federal compliance and security standards
  • Design and support reusable, secure, and performant AI/ML services and APIs to be consumed by enterprise applications
  • Conduct model validation and optimization in cloud environments, ensuring responsible AI practices, fairness, and transparency
  • Maintain AI/ML architecture documentation and update artifacts per sprint cycles or as changes occur
  • Support the inclusion of AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports
  • Guide teams on the selection and integration of third-party ML tools, frameworks, or SaaS offerings in a secure and compliant manner

REQUIRED EXPERIENCE & QUALIFICATIONS:
  • BA/BS or Master's of Arts or Science in related field, preferred
  • 15+ years of specialized experience in information systems required
  • Experience may be considered in lieu of degree as follows: HS (19+ years), AA/AS (17+ years), BA/BS (15+ years), Doctorate Degree/Ph.D. (12+ years)
  • Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, Google Cloud Platform Vertex AI)
  • Hands-on experience with ML/DL frameworks such as TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras
  • Strong programming skills in Python, with experience in containerization (Docker) and orchestration (Kubernetes) for ML workloads
  • Experience with MLOps tools (MLflow, Kubeflow, TFX, Airflow) and CI/CD integration for model deployment
  • Familiarity with federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP
  • Proficient in using IaC tools such as Terraform, CDK, or CloudFormation to automate cloud ML infrastructure
  • Experience with multi-tenant, distributed systems, and cloud-native architecture patterns
  • Relevant certifications such as AWS Certified Machine Learning - Specialty, Google Professional ML Engineer, or equivalent preferred

Must be US Person (, US Permanent Resident Alien, Refugee, Asylee, )

GDIT Is Your Place:
  • 401K with company match
  • Comprehensive health and wellness packages
  • Internal mobility team dedicated to helping you own your career
  • Professional growth opportunities including paid education and certifications
  • Rest and recharge with paid vacation and holidays

The likely salary range for this position is $166,816 - $218,500. 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:
None

Telecommuting Options:
Remote

Work Location:
Any Location / Remote

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. 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.

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Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.