Sr. AI Cloud Platform Engineer

Stifel strives for a culture that puts its clients and associates first: a culture where everyone belongs, everyone is welcome, and everyone contributes to the success of our clients, their careers, and the firm as a whole.

The Sr. AI Cloud Platform Engineer is a member of the Security Engineering & Automation team, the security organization’s shared build capability, and is responsible for the platform architecture and hands‑on engineering of secure, reusable capabilities that enable security teams to operate more efficiently and consistently. This role architects and develops shared security platforms, tool integrations, AI-enabled security capabilities, metrics and dashboarding services, proofs of concept, and automation that removes recurring manual work, built once and designed for adoption by multiple security pods rather than as one‑off solutions.

Operating with a high degree of autonomy, this role partners with Security Architecture and cloud platform architects to align team‑owned solutions with organizational standards and strategic direction. The team operates under a clear contract, Security Engineering & Automation builds, and consuming pods configure, run, and report.

• Lead the architecture and technical design of the team’s shared capabilities - platforms, services, integrations, APIs, data pipelines, and automation - built to be secure, scalable, resilient, and reusable.
• Build shared security tool integrations and reusable automation that eliminate manual toil, reduce duplicated engineering effort, and improve consistency across security pods.
• Architect AI solutions that both secure the organization’s use of AI and apply AI to improve security operations, analysis, and decision support.
• Build and maintain shared metrics, data, and dashboarding capabilities, including common data models and integration patterns, that enable automated, business‑readable reporting across the security organization.
• Partner with Security Architecture to embed security requirements, approved patterns, controls, and risk decisions into platform designs, and collaborate with enterprise and cloud platform architects to align with broader technology strategies and standards.
• Translate business, security, operational, and regulatory requirements into platform designs and executable implementation plans.
• Develop infrastructure as code using Terraform, Cloud Formation, or CDK, and build automation and integrations using Python, Bash, Power Shell, AWS Lambda, Step Functions, APIs, and event‑driven and workflow orchestration services.
• Embed identity and access management, secrets management, encryption, network controls, data protection, logging, monitoring, and policy enforcement into team‑owned solutions.
• Conduct proofs of concept and technical evaluations to validate solution viability and inform build‑versus‑buy decisions, assessing technologies for technical fit, security, interoperability, supportability, cost, and reuse potential.
• Create reusable reference architectures, implementation patterns, technical standards, and onboarding guidance, and contribute to the team’s service catalog, including available capabilities, engagement criteria, and ownership expectations.
• Define consumption, configuration, and support boundaries for team‑built services in partnership with product management and consuming pods, along with measurable outcomes such as adoption, toil reduction, onboarding time, and data freshness.
• Maintain the reliability, availability, observability, and security of shared team‑owned platforms and their CI/CD and operational tooling, and support incidents and root‑cause analysis while pod‑specific operations, triage, and tool administration…