AI Architecture Lead - Scalable, Secure Systems

Highmark Health; Cheyenne (WY); On-site; USD 118,000 - 197,000; Full time

Job summary

enGen is seeking an AI Architect to define the end-to-end AI architecture and tech stack, ensuring scalable, secure integration with the enterprise. You will lead cross-functional efforts across Data Science, DevOps, and Product to translate executive goals into robust blueprints.

You will shape data pipelines, model storage, inference engines, and front-end integration, selecting LS, vector databases, and orchestration tools. Strong MLOps leadership and governance are essential.

Qualifications

• Architectural leadership with enterprise-scale experience.
• Deep knowledge of distributed systems and API design.
• Experience with cloud-native patterns and IaC tooling.
• Strong emphasis on data privacy, governance, and AI safety.

Responsibilities

• Define end-to-end AI architecture and tech stack.
• Lead cross-functional teams across DS, DevOps, and Product.
• Establish best practices for MLOps, versioning, and deployment.
• Design scalable systems with low-latency data processing.
• Mentor engineers and present architecture decisions to leadership.

Skills

Architecture leadership

Distributed systems

Cloud platforms

MLOps

Data pipelines

GDPR/CCPA privacy

Cross-functional leadership

Model management

Education

Bachelor's in IT/CS

Master's degree

Tools

Terraform

Ansible

SageMaker

Azure ML

Vertex AI

Kubeflow

MLflow

BentoML

Job description

enGen is seeking an AI Architect to define the end-to-end AI architecture and tech stack, ensuring scalable, secure integration with the enterprise. You will lead cross-functional efforts across Data Science, DevOps, and Product to translate executive goals into robust blueprints.

You will shape data pipelines, model storage, inference engines, and front-end integration, selecting LS, vector databases, and orchestration tools. Strong MLOps leadership and governance are essential.