CareerPlanGet AI match score →

Senior Cloud Engineer AI

2 Locations💼 Full-time💰 $75,900–$75,900🗓 2026-06-10 → 2026-07-31

Core

Designing and implementing secure, compliant AI/ML platforms and automated MLOps solutions for a highly regulated banking environment.

Role type

Senior Cloud Engineer specializing in AI/ML platform architecture and MLOps

Builds

Reusable architectural patterns, automated ML pipelines, and observability frameworks for enterprise AI/ML services

Domain

Banking / Cloud AI & Machine Learning

Deliverable

production ML models | infrastructure

Required skills

AWS AI/ML services (SageMaker, Bedrock), Azure AI/ML services (Azure ML, Azure OpenAI, Azure AI Foundry), MLOps platform design, LLMOps and LLM lifecycle management, Python, Infrastructure-as-Code (Terraform, CloudFormation, ARM/Bicep), MLflow, cloud security patterns (private endpoints, CCMK), cloud networking architecture

Preferred skills

Vector databases, model optimization and inference acceleration, financial services background

Technologies

SageMaker, Bedrock, Azure Machine Learning, Azure OpenAI, Azure AI Foundry, Terraform, CloudFormation, ARM/Bicep, MLflow

Responsibilities

Evaluate and enable AWS and Azure AI/ML services through proof-of-concepts; Design and implement reusable architectural patterns for secure AI/ML integrations; Build end-to-end MLOps platforms and automated ML pipelines; Produce technical reports on security, networking, compliance, guardrails, and cost analysis; Develop frameworks, infrastructure-as-code, and automation to accelerate AI/ML adoption; Implement observability solutions with model monitoring, metrics, and drift detection

Seniority

Senior, hands-on IC with technical leadership

Sourced via workday · Listed on CareerPlan, which tracks 70,000+ jobs from 20+ sources.
Apply on Workday ↗