Senior GenAI & MLOps Architect on AWS

Kapitus; Arlington (VA); On-site; USD 117,800 - 189,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Tuition reimbursement

Paid maternity and parental leave

Flexible Spending Account

Job summary

Kapitus is seeking a Senior MLOps Architect in Arlington, VA, to design a modern ML and Generative AI platform on AWS. The ideal candidate will lead the architecture of ML pipelines, ensuring reliability and security while optimizing costs.

This role requires extensive experience in ML engineering and AWS, with a strong focus on implementing scalable solutions for Generative AI. Competitive salary and benefits include health insurance, retirement plans, and tuition reimbursement.

Qualifications

• 6+ years of experience in ML engineering, data engineering, or MLOps.
• Proven experience architecting ML platforms in AWS.
• Strong hands-on experience with SageMaker.

Responsibilities

• Design and implement scalable ML infrastructure on AWS.
• Architect end-to-end ML and Generative AI lifecycle workflows.
• Define standards for CI/CD/CT pipelines.

Skills

ML engineering

MLOps

Data engineering

AWS

SageMaker

Generative AI

CI/CD

Docker

Kubernetes

Infrastructure as code

Tools

Databricks

Terraform

CloudFormation

Job description

Kapitus is seeking a Senior MLOps Architect in Arlington, VA, to design a modern ML and Generative AI platform on AWS. The ideal candidate will lead the architecture of ML pipelines, ensuring reliability and security while optimizing costs.

This role requires extensive experience in ML engineering and AWS, with a strong focus on implementing scalable solutions for Generative AI. Competitive salary and benefits include health insurance, retirement plans, and tuition reimbursement.