Live opening · Posted 1 day ago

Senior Lead Security Engineer, AI Controls

JPMorgan Chase · Wilmington, DE, United States | Plano, TX, United States
Oracle
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At a glance

The key details from the original listing.

Posted 1 day ago
CompanyJPMorgan Chase
LocationWilmington, DE, United States | Plano, TX, United States
SkillsPython, AWS, Terraform
SourceOracle
ListedPosted 1 day ago

About the role

Description supplied by the original job listing.

As a Senior Lead Security Engineer in the AI Control Engineering team at JPMorganChase, you build and operate security services and guardrails for artificial intelligence and machine learning capabilities in production. You will write and review code, drive secure technical design, and lead evaluations that help the team adopt scalable, reliable security solutions.
Job Responsibilities
Develop secure, high-quality production code (primarily Python) and review and debug code written by others
Design, build, and troubleshoot security services and guardrails for artificial intelligence and machine learning workloads on Amazon Web Services
Build and manage cloud infrastructure using Terraform and infrastructure automation practices to support repeatable deployments and strong operational hygiene
Produce technical designs for complex applications and ensure implementations align with security, reliability, and scalability expectations
Lead security product evaluations with third-party vendors and internal teams, including proofs of concept, benchmarking, and written recommendations
Contribute to engineering best practices and support adoption of new and emerging technologies
Foster a team culture of diversity, opportunity, inclusion, and respect
Required Qualifications, Capabilities, and Skills
Proficiency developing production software in Python or another object-oriented programming language
5 years of applied software development experience across the software development life cycle (design, implementation, testing, and operations)
Hands-on experience designing, building, testing, and operating workloads on Amazon Web Services
Hands-on experience using Terraform and applying infrastructure automation best practices
Practical experience with artificial intelligence and machine learning technologies, including security considerations for generative artificial intelligence
Demonstrated experience producing technical designs and delivering implementations that meet reliability and security expectations
Experience designing and implementing cloud security controls for production workloads, including identity and access controls, encryption, and logging/monitoring
Experience implementing security controls to mitigate misuse and malicious behavior in artificial intelligence systems, including input validation, abuse detection, and policy enforcement guardrails
Preferred Qualifications, Capabilities, and Skills
AWS certifications (e.g., Certified Developer – Associate; DevOps Engineer – Professional).
Experience with CI/CD pipelines and production operations for cloud-native services.

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