Senior AI Cloud Platform Architect — Secure Automation

Stifel Financial Corp.; St. Louis (MO); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Health, dental, and vision coverage

401(k) retirement plan

Wellness initiatives

Paid time off

Job summary

Stifel Financial Corp. seeks a Sr. AI Cloud Platform Engineer to lead secure, scalable shared platforms and automation. You’ll architect AI-enabled security capabilities, data pipelines, and dashboarding while collaborating with Security Architecture and cloud platform teams.

You will implement infrastructure as code (Terraform/CloudFormation/CDK) and build integrations using Python, Bash, and AWS services, embedding identity, encryption, and monitoring across team-owned solutions.

Qualifications

• Bachelor's degree in CS/Engineering or related field.
• 6+ years in platform, infrastructure, DevOps, cloud, automation, security engineering, or software engineering.
• 3+ years of hands-on AWS experience in production environments.
• Experience applying AI/ML to automation, engineering, or security use cases.

Responsibilities

• Lead the architecture and technical design of shared capabilities and data pipelines.
• Build reusable automation and security tool integrations across pods.
• Architect AI solutions to secure and improve security operations.
• Develop metrics, data models, and dashboards for automated reporting.
• Embed security requirements into platform designs with governance partners.

Skills

Architecture design

Cloud security

AI/ML concepts

Python scripting

Automation engineering

Education

Bachelor's degree in CS/Engineering or related

Tools

Terraform

CloudFormation

CDK

AWS

Grafana

Job description

Stifel Financial Corp. seeks a Sr. AI Cloud Platform Engineer to lead secure, scalable shared platforms and automation. You’ll architect AI-enabled security capabilities, data pipelines, and dashboarding while collaborating with Security Architecture and cloud platform teams.

You will implement infrastructure as code (Terraform/CloudFormation/CDK) and build integrations using Python, Bash, and AWS services, embedding identity, encryption, and monitoring across team-owned solutions.