Job description

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. Build security guardrails that help teams develop and deploy artificial intelligence responsibly. In this role, you will design and deliver production-grade controls that reduce misuse and malicious behavior while enabling engineers to move fast safely. You will partner closely with software engineers and security stakeholders and influence how security is implemented across high-impact systems.

Requirements

Must-haves

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
AWS certifications (e.g., Certified Developer – Associate; DevOps Engineer – Professional).
Experience with CI/CD pipelines and production operations for cloud-native services.

Nice-to-haves

Preferred Qualifications, Capabilities, and Skills

Application prep

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Keywords to mirror

aimachine learningpythonawsci/cd

Platform: oracle-cloud
Effort: medium