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Senior Lead Security Engineer, AI Controls

Salary not listed • Wilmington, DE, United States • Full-time

Posted 16d ago

No salary is listed. Many US states require employers to post a pay range, so ask about pay early.

Job Location

Wilmington, DE, United States

Tech Stack

Remote Work Policy

On-site

Employment Type

Full-time

Categories

Machine Learning Engineer

About the job

As a Senior Lead Security Engineer in the AI Control Engineering team, you will build and operate security services and guardrails for artificial intelligence and machine learning capabilities in production. This role involves writing and reviewing code, driving secure technical design, and leading evaluations to help the team adopt scalable, reliable security solutions.

Responsibilities

  • Develop and review secure, high-quality production code, primarily in Python.
  • Design, build, and troubleshoot security services and guardrails for AI/ML workloads on AWS.
  • Build and manage cloud infrastructure using Terraform and automation practices.
  • Produce technical designs for complex applications, ensuring alignment with security, reliability, and scalability.
  • Lead security product evaluations, including proofs of concept and benchmarking.
  • Contribute to engineering best practices and support the adoption of new technologies.
  • Foster a team culture of diversity, opportunity, inclusion, and respect.

Requirements

  • Proficiency in developing production software in Python or another object-oriented language.
  • 5 years of applied software development experience across the full SDLC.
  • Hands-on experience designing, building, testing, and operating workloads on AWS.
  • Hands-on experience using Terraform and applying infrastructure automation best practices.
  • Practical experience with AI/ML technologies, including security considerations for generative AI.
  • Demonstrated experience producing technical designs and delivering implementations that meet reliability and security expectations.
  • Experience designing and implementing cloud security controls for production workloads (e.g., IAM, encryption, logging).
  • Experience implementing security controls to mitigate misuse in AI systems (e.g., input validation, abuse detection).

About JPMorganChase