Artificial Intelligence & Machine Learning Architect SME

General Dynamics Information Technology•USA LA Home Office (LAHOME), LA

1d•$195,240 - $264,148•Remote

About The Position

Own your opportunity to turn data into measurable outcomes for our customers’ most complex challenges. As an AI/ML Engineer SME at GDIT, you’ll power innovation to drive mission impact and grow your expertise to power your career forward. Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Architect Subject Matter Expert supporting the Case Management Modernization (CMM) Program. GDIT is your place to make meaningful contributions to challenging projects and grow a rewarding career. The AI/ML Architect SME will work as part of an agile development team to build and support the modernization of enterprise-class software applications.

Requirements

BA/BS or equivalent required; 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), MA/MS (13+ years), Doctorate Degree/Ph.D. (12+ years)
Proven success in architecting and deploying ML workflows in cloud environments (AWS SageMaker, Azure ML, GCP 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
Must be able to pass a background check to obtain a position of Public Trust.
Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

Nice To Haves

Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred but not required

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

Benefits

AI-powered career tool that identifies career steps and learning opportunities
An internal mobility team focused on helping you achieve your career goals
Comprehensive benefits and wellness packages
401K with company match
Competitive pay and paid time off
Variety of medical plan options, some with Health Savings Accounts
Dental plan options
Vision plan
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.
Full flex work weeks where possible
Variety of paid time off plans, including vacation, sick and personal time, holidays, paid parental, military, bereavement and jury duty leave.
15 days of paid leave per calendar year to be used for vacations, personal business, and illness
10 paid holidays per year
Paid Family Leave program provides a total of up to 160 hours of paid leave in a rolling 12 month period for eligible employees.
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.