Build and operate security services and guardrails for AI and machine learning workloads on AWS. Develop production Python code, design cloud security controls, manage Terraform infrastructure, lead technical designs and vendor evaluations, and ensure reliable, scalable implementations. The role also addresses generative AI misuse through input validation, abuse detection, identity and access controls, encryption, logging, monitoring, and policy enforcement.
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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