AI/ML Architect, SME

This is a fully remote position, open to applicants in United States.

📋 Description

• Define, document, and uphold a scalable, modular AI/ML architecture that aligns with the enterprise cloud strategy and CMM Program requirements.

• Design and implement comprehensive AI/ML pipelines that encompass data ingestion, feature engineering, model training, deployment, monitoring, and retraining.

• Integrate MLOps best practices to facilitate continuous integration, delivery, and management of the machine-learning model lifecycle.

• Ensure that AI/ML workloads across multiple tenants and regions are elastic, highly available, and cost-effective.

• Utilize Infrastructure-as-Code tools to provision and oversee cloud-based AI/ML infrastructure in compliance with federal regulations and security standards.

• Develop and maintain reusable, secure, and high-performance AI/ML services and APIs for enterprise applications.

• Conduct model validation and optimization within cloud environments while ensuring responsible AI practices, fairness, and transparency.

• Keep AI/ML architecture documentation current and update artifacts during sprint cycles or when changes occur.

• Assist with AI/ML metrics, resource utilization, and performance KPIs in technical dashboards and reports.

• Provide guidance to teams in selecting and securely integrating third-party ML tools, frameworks, and SaaS solutions.

• Offer technical leadership, strategic direction, and tool recommendations for AI/ML architecture.

• Support the Case Management Modernization Program for the Administrative Office of the US Courts and over 204 federal courts.

⛳️ Requirements

• A BA/BS or equivalent is required; a Master's degree in a relevant field is preferred.

• A minimum of 15 years of relevant experience is required.

• At least 5 years of recent, demonstrable, hands-on experience in architecting and deploying AI/ML workflows in cloud environments.

• Familiarity with Amazon SageMaker AI, Azure Machine Learning, and/or Google Cloud Vertex AI is essential.

• Practical experience with TensorFlow, PyTorch, scikit-learn, XGBoost, or Keras is required.

• Strong programming skills in Python are necessary.

• Experience using Docker and Kubernetes for ML workloads is essential.

• Familiarity with MLflow, Kubeflow, TFX, or Airflow and CI/CD integration for model deployment is required.

• Knowledge of JISF, NIST 800-53, and FedRAMP is a plus.

• Proficiency in Terraform, CDK, or CloudFormation is preferred.

• Experience with multi-tenant distributed systems and cloud-native architecture patterns is necessary.

• Candidates must be able to pass a background check to qualify for a position of Public Trust.

• Must be a US Person (Green Card Holder, US Permanent Resident Alien, Refugee, Asylee, or US Citizen).

• Preferred, but not required certifications include: AWS Certified Machine Learning Engineer – Associate; AWS Certified Machine Learning – Specialty; Microsoft Certified: Azure AI Apps and Agents Developer Associate; Microsoft Certified: Machine Learning Operations Engineer Associate; Google Cloud Professional Machine Learning Engineer.

🏝️ Benefits

• Comprehensive medical plan options, including some that come with Health Savings Accounts.

• Dental plan options available.

• Vision plan options available.

• 401(k) plan featuring pre-tax and post-tax contributions along with company matching.

• Full flex work weeks where feasible.

• Paid vacation, sick, personal, holiday, parental, military, bereavement, and jury duty leave.

• Typically 15 days of paid leave per calendar year.

• 10 paid holidays each year.

• Up to 160 hours of paid family leave within a rolling 12-month period for eligible employees.

• Short- and long-term disability benefits available.

• Life insurance coverage.

• Accidental death and dismemberment insurance provided.

• Personal accident insurance offered.

• Critical illness insurance available.

• Business travel and accident insurance included.

• AI-powered career tool to identify career steps and learning opportunities.

• An internal mobility team to support career aspirations.

• Opportunities for growth.

• An award-winning culture of innovation.

• A military-friendly workplace.