Senior Staff ML Ops Engineer — AI Infrastructure Architect

Abbott; Santa Clara (CA); On-site; USD 131,000 - 261,000; Full time

Benefits offered by this job

Career development

HIP PPO medical plan

Retirement savings plan

Tuition reimbursement

FreeU education benefit

Job summary

Abbott is seeking a Senior Staff ML Ops Engineer to lead AI platform architecture for Medical Devices Digital in Santa Clara, CA. You will guide end-to-end ML infrastructure, governance, and deployment strategies across hybrid cloud and on‑prem environments.

You will collaborate with data scientists, infra teams, and product leaders to scale AI apps, ensure reliability, and drive the AI technology roadmap in a regulated, healthcare setting.

Qualifications

• Bachelor-level degree required; advanced degrees preferred in related fields.
• Minimum 8+ years of related experience; advanced degrees reduce required experience.
• Experience with ML infrastructure, experiment tracking, model training and deployment.”
• Experience with GenAI and Agentic AI development infrastructure including grounding, RAG, MCP and prompt engineering.
• Cloud platforms experience (AWS/Azure/GCP), containerization (Docker, Kubernetes), orchestration (Airflow), IaC (Terraform).
• Proficiency with tools like Azure ML SDK, Azure Data Factory, Databricks, Spark.
• Strong data modeling, SQL/NoSQL databases and data governance.
• Familiarity with agile practices and CI/CD pipelines for AI products.
• Security by Design in AI product development and leadership exposure.

Responsibilities

• Architect scalable ML infrastructure across data ingestion to monitoring.
• Bridge between ML scientists and engineering teams.
• Implement CI/CD for ML models with testing and rollback strategies.
• Ensure compliance with HIPAA, GDPR, and SaMD guidelines.
• Align architecture strategy with business leaders and stakeholders.
• Mentor ML and SW engineers and establish coding standards.

Skills

ML Ops

Cloud platforms

Kubernetes

CI/CD for ML

Regulatory awareness

Leadership & mentoring

Security by Design

Data modeling

Excellent communication

Education

Bachelor’s Degree in Computer Science/Engineering Mathematics

Master’s Degree (6+ years experience)

Ph.D. (4+ years experience)

Tools

Azure ML SDK

Azure Data Factory

Databricks

Spark

SQL/NoSQL

Terraform

Airflow

Docker

Kubernetes (Tools)

Job description

Abbott is seeking a Senior Staff ML Ops Engineer to lead AI platform architecture for Medical Devices Digital in Santa Clara, CA. You will guide end-to-end ML infrastructure, governance, and deployment strategies across hybrid cloud and on‑prem environments.

You will collaborate with data scientists, infra teams, and product leaders to scale AI apps, ensure reliability, and drive the AI technology roadmap in a regulated, healthcare setting.