Senior Secure AI/ML Architect for Cloud Platforms

Habitat For Humanity Of Durham; Durham (NC); On-site; USD 140,000 - 180,000; Full time

Job summary

Fidelity Investments seeks a Principal AI/ML Engineer to design and deploy secure, scalable AI systems across enterprise cloud environments. You will lead model training, inference, and monitoring while advancing governance and risk mitigation.

Responsibilities span federated learning, adversarial robustness, and multi-agent safety with collaboration across cybersecurity and cloud teams. Onsite role with modern AI tooling.

Qualifications

• Demonstrated Expertise delivering scalable, secure distributed applications with IAM and encryption.
• Architecting AI/ML systems on cloud-native platforms with CI/CD.
• Auto-ML infrastructure via IaC and container orchestration.
• Secure AI methods including adversarial robustness and federated learning.

Responsibilities

• Architects and implements AI/ML systems for training, inference, observability, and monitoring across distributed clouds.
• Develops secure AI frameworks, including adversarial robustness pipelines and model governance.
• Builds agentic AI workflows automating data pipelines and model lifecycle operations.
• Supports research on hybrid architectures, federated learning, and multi-agent safety.
• Performs performance, reliability, and robustness evaluations under real-world constraints.
• Collaborates with cybersecurity, cloud engineering, and data science to integrate safety.
• Mentors teams on advanced ML algorithms and secure development practices.

Skills

IAM & encryption

KMS

Terraform

Cloud platforms

Kubeflow

MLOps

Python

Java

Adversarial robustness

Education

Bachelor's in CS/Eng

Tools

SageMaker

Kubernetes

Airflow

MLflow

DynamoDB

Job description

Fidelity Investments seeks a Principal AI/ML Engineer to design and deploy secure, scalable AI systems across enterprise cloud environments. You will lead model training, inference, and monitoring while advancing governance and risk mitigation.

Responsibilities span federated learning, adversarial robustness, and multi-agent safety with collaboration across cybersecurity and cloud teams. Onsite role with modern AI tooling.