AI-focused Information Security Engineer / AI Security Developer

Job Title: AI-focused Information Security Engineer / AI Security Developer

Duration: 12+ Months with possible extension

Location: 100% Remote

TECHNICAL SKILLS

Must Have: 1+ year(s) of Gen AI related development, DevOps practices and tools (Jenkins, Github, CI/CD, Terraform), Security

Nice To Have: , , ,

JOB SUMMARY

AI Developer Security Scanning

JOB DESCRIPTION

• The Information Security Engineer (ISE) will be responsible for defining, delivering, and supporting the enterprise security tools.
• This role is specifically responsible for building, operating, and continuously improving an LLM-based code vulnerability detection and reporting capability. The initial phase is build: design and deliver the scanner, evaluation harness, and CI/CD pipelines. Once operational, the role shifts to run: patching, tuning, feature development, and sustained operational support. Finding triage and remediation ownership are out of scope for this role.

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Serve as a security engineer/consultant on cloud projects.
• Build and operate an LLM-based code vulnerability detection capability on AWS Bedrock, including prompt/agent design, model invocation patterns, cost and token controls, and result normalization.
• Develop and maintain the evaluation harness used to measure scanner quality, including regression corpora, repeatable test execution, and reporting on detection performance over time.
• Build and maintain scanning pipelines integrated with GitHub and Jenkins, deployed to ECS and provisioned through Terraform.
• Deliver findings and operational telemetry into Splunk; build dashboards and alerting for scanner health, coverage, and throughput.
• Engineer and implement well-architected solutions while adhering to software development best practices.
• Advise Principal Engineers and Product Owners on operations and evolution of their product.
• Design, test, and implement solutions at the Feature level.
• Support the Bank's operational information security responsibilities, including the development and maintenance of standards, procedures, and guidelines necessary to satisfy the Information Security department's operations.
• Provide ongoing operational support, patching, and defect resolution for the deployed scanner after go-live.
• Participate in a four-person rotating shift schedule providing 24/7 coverage, including nights, weekends, and holidays. Scheduled hours average 40 per week.
• Maintain appropriate controls and documentation to ensure compliance with all company and regulatory requirements.
• Understand virtualization/containerization technologies.
• Participate in operational on-call rotation within normal working hours (not eligible for overtime).
• Other duties as assigned.

REQUIRED KNOWLEDGE, SKILLS & ABILITIES:

• 4+ years of related engineering experience, including hands-on information security or software development work.
• Hands-on experience with AWS Bedrock or equivalent hosted LLM platforms, including model selection, inference optimization, and guardrail configuration.
• Demonstrated understanding of Infrastructure as Code best practices and strong experience building Terraform modules.
• Experience building and maintaining CI/CD pipelines, preferably Jenkins, integrated with GitHub.
• Working knowledge of application security concepts, common vulnerability classes, and SAST/SCA tooling behavior.
• Must be able to communicate ideas both verbally and in writing to management, business and IT sponsors, and technical resources in language appropriate for each group.
• Eligible to work in the US without the need for sponsorship now or in the future.

PREFERRED KNOWLEDGE, SKILLS & ABILITIES:

• Demonstrated experience building on AWS, including IAM, ECS, and service-to-service authentication patterns.
• Experience with agentic or multi-step LLM workflows, including context management across large repositories.
• Experience with RESTful APIs and event-driven architectures.
• Splunk development experience, including data onboarding, search, and dashboarding.
• Experience with containerized workloads and Linux systems.
• Experience working in Agile methodologies and development.
• Prior experience in a regulated financial services environment.

Industry standard certifications such as AWS Security Specialty, AWS Solutions Architect Associate, CompTIA Security+, ISC2 CISSP, or SANS.