Artificial Intelligence & Machine Learning Architect SME

Jobgether

71d • $191,404 - $258,958

About The Position

This role provides a unique opportunity to lead AI and machine learning architecture initiatives for large-scale, cloud-based enterprise solutions. You will define, implement, and maintain AI/ML pipelines, ensuring scalability, performance, and compliance with federal standards. The position involves working with cross-functional teams to integrate AI/ML solutions into enterprise applications, optimize model performance, and apply MLOps best practices. Ideal candidates will be experienced in cloud-based ML infrastructure, Python programming, containerization, and have a strong understanding of responsible AI practices. This is a chance to influence critical modernization programs while working in a dynamic, innovative environment.

Requirements

• 15+ years of experience in AI/ML architecture, cloud development, or related information systems.
• Proven success 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).
• 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.
• Proficiency with IaC tools such as Terraform, CDK, or CloudFormation.
• Knowledge of multi-tenant, distributed systems, and cloud-native architecture patterns.

Nice To Haves

• Relevant certifications (AWS Certified Machine Learning – Specialty, Google Professional ML Engineer) preferred.

Responsibilities

• Define, document, and maintain scalable, modular AI/ML architecture aligned with enterprise cloud strategy.
• Architect and implement end-to-end AI/ML pipelines including data ingestion, feature engineering, model training, deployment, monitoring, and retraining.
• Apply MLOps best practices for continuous integration, delivery, and lifecycle management of machine learning models.
• Ensure AI/ML workloads are elastic, highly available, and cost-efficient across multi-tenant, multi-region environments.
• Utilize Infrastructure-as-Code (IaC) tools to provision and manage cloud-based AI/ML infrastructure in compliance with federal security standards.
• Design secure, reusable, and performant AI/ML services and APIs for enterprise consumption.
• Conduct model validation, optimization, and maintain documentation with transparency and responsible AI principles.
• Advise teams on third-party ML tools, frameworks, and SaaS integrations in a secure and compliant manner.

Benefits

• Competitive salary commensurate with experience ($191,404 - $258,958 range).
• Hybrid or remote work options.
• 401(k) with company match and comprehensive health, dental, and vision coverage.
• Paid vacation, holidays, parental leave, and additional flexible leave programs.
• Professional growth opportunities, including paid education, certifications, and internal mobility support.
• Exposure to large-scale, mission-critical AI/ML modernization projects in a collaborative environment.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees