Artificial Intelligence and Machine Learning Architect – SME

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

📋 Description

• Define, document, and sustain a scalable, modular AI/ML architecture that aligns with the enterprise cloud strategy and CMM product specifications.

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

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

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

• Utilize Infrastructure-as-Code tools to provision and manage cloud-based AI/ML infrastructure while adhering to federal compliance and security standards.

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

• Execute cloud-based model validation and optimization while promoting responsible AI, fairness, and transparency.

• Keep AI/ML architecture documentation current and update artifacts in accordance with sprint cycles or when alterations occur.

• Support AI/ML metrics, resource utilization, and performance KPIs within technical dashboards and reports.

• Advise teams on the selection and secure integration of third-party ML tools, frameworks, and SaaS solutions.

• Collaborate as part of an agile development team to support the modernization of enterprise-class software applications for the Case Management Modernization Program.

⛳️ Requirements

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

• At least 15 years of specialized experience in information systems is required.

• Experience may substitute for a degree: HS diploma with 19+ years, AA/AS with 17+ years, BA/BS with 15+ years, MA/MS with 13+ years, or Doctorate/Ph.D. with 12+ years.

• Demonstrated success in architecting and deploying ML workflows in cloud environments, including AWS SageMaker, Azure ML, or GCP Vertex AI.

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

• Strong proficiency in Python programming.

• Experience utilizing Docker and Kubernetes for ML workloads.

• Familiarity with MLflow, Kubeflow, TFX, or Airflow along with CI/CD integration.

• Knowledge of federal data governance, security, and privacy standards, including JISF, NIST 800-53, and FedRAMP.

• Proficiency in Terraform, CDK, or CloudFormation.

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

• Must be able to clear a background check to secure a position of Public Trust.

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

🏝️ Benefits

• Comprehensive medical plan options, some of which include Health Savings Accounts.

• Dental plan options available.

• Vision plan provided.

• 401(k) plan with company matching contributions.

• Flexible work weeks where feasible.

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

• Generally, 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.

• Life insurance coverage.

• Accidental death and dismemberment insurance.

• Personal accident insurance.

• Critical illness insurance.

• Business travel and accident insurance.

• AI-powered career tool for identifying career progression and learning opportunities.

• Support for internal mobility.

• Wellness packages available.

• Competitive salary.

• Recognized for having a military-friendly workplace culture.