General Dynamics Information Technology
Artificial Intelligence & Machine Learning Architect SME
General Dynamics Information Technology, Myrtle Point, Oregon, United States, 97458
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: Data Science and Data Engineering
Job Qualifications: Skills—Artificial Intelligence (AI), Cloud Development, Cloud Planning, Machine Learning. Certifications: None. Experience: 15+ years of related experience. US Citizenship Required: No.
Artificial Intelligence and Machine Learning Architect SME Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Architect SME supporting the Case Management Modernization (CMM) Program. The CMM Program is an initiative to support the Administrative Office (AO) of the US Courts 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 Artificial Intelligence and Machine Learning Architect SME 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 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
Education: BA/BS in related field
Experience: 15+ years of specialized experience in information systems required
Additional experience may be considered in lieu of BA/BS degree as follows: HS (19+ years); AA/AS (17+ years)
Additional education may be considered in lieu of experience as follows: MA/MS (14+ 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
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred
Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen) Must be able to obtain a position of Public Trust with the Administrative Office of the US Courts
Location Hybrid at GDIT's Integrated Technology Center in Bossier City, LA. Candidates who do not reside within range of our office may be considered to work remotely.
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
Scheduled Weekly Hours 40
Travel Required Less than 10%
Telecommuting Options Remote
Work Location Any Location / Remote
Additional Work Locations Any Location / Remote
Total Rewards at GDIT The likely salary range for this position is $191,404 - $258,958. 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.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans gdit.com/tc
#J-18808-Ljbffr
Clearance Level Must Currently Possess: None
Clearance Level Must Be Able to Obtain: None
Public Trust/Other Required: BI Full 6C (T4)
Job Family: Data Science and Data Engineering
Job Qualifications: Skills—Artificial Intelligence (AI), Cloud Development, Cloud Planning, Machine Learning. Certifications: None. Experience: 15+ years of related experience. US Citizenship Required: No.
Artificial Intelligence and Machine Learning Architect SME Seize your opportunity to make a personal impact as an Artificial Intelligence and Machine Learning Architect SME supporting the Case Management Modernization (CMM) Program. The CMM Program is an initiative to support the Administrative Office (AO) of the US Courts 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 Artificial Intelligence and Machine Learning Architect SME 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 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
Education: BA/BS in related field
Experience: 15+ years of specialized experience in information systems required
Additional experience may be considered in lieu of BA/BS degree as follows: HS (19+ years); AA/AS (17+ years)
Additional education may be considered in lieu of experience as follows: MA/MS (14+ 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
Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, or equivalent preferred
Must be US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, US Citizen) Must be able to obtain a position of Public Trust with the Administrative Office of the US Courts
Location Hybrid at GDIT's Integrated Technology Center in Bossier City, LA. Candidates who do not reside within range of our office may be considered to work remotely.
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
Scheduled Weekly Hours 40
Travel Required Less than 10%
Telecommuting Options Remote
Work Location Any Location / Remote
Additional Work Locations Any Location / Remote
Total Rewards at GDIT The likely salary range for this position is $191,404 - $258,958. 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.
Equal Opportunity Employer / Individuals with Disabilities / Protected Veterans gdit.com/tc
#J-18808-Ljbffr