We are redirecting you to the source. If you are not redirected in 3 seconds, please click here.

Artificial Intelligence & Machine Learning Architect SME at Jobgether. This position is posted by Jobgether on behalf of a partner company. We are currently looking for an . Artificial Intelligence & Machine Learning Architect SME. in the . United States. .. 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.. . Accountabilities. 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.. . 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.. Relevant certifications (AWS Certified Machine Learning – Specialty, Google Professional ML Engineer) preferred.. Must be a US Person (Green Card, Permanent Resident, Asylee, US Citizen) and able to obtain a position of Public Trust.. Company Location: United States.