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.
Similar Jobs
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Processes and audits fleet service invoices, performs VMRS coding and costing, resolves discrepancies with service providers, manages invoice workflows, processes rebills, verifies approval limits, and handles purchase order inquiries. The role requires accurate high-volume data entry, effective communication, and attention to detail in a fast-paced billing environment.
Top Skills:
TmcareVmrsWorkflow System
Artificial Intelligence • Automotive • Greentech • Information Technology • Machine Learning • Software • Cybersecurity
Processes, codes, audits, and indexes service-provider invoices for fleet billing operations. Responsibilities include resolving invoice discrepancies, verifying approval limits, completing WACC requirements, processing rebills, performing VMRS coding and costing, managing purchase-order inquiries, and responding to overflow calls. The role requires accurate high-volume data entry, attention to detail, and communication with service providers and internal teams.
Top Skills:
TmcareVmrs
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property & Casualty products and coverage, and converts prospects into policyholders. The role includes paid licensing and sales training, customer communication, lead conversion, and remote work using company-provided equipment. Employees must work a weekday and weekend schedule, maintain a dedicated home workspace, and meet high-speed wired internet requirements.
Top Skills:
Cable InternetDsl InternetFiber InternetPc
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
