REMOTE Lead AI Dev/DevOps Engineer (AI Vulnerability Detection)

Job Description

An employer is looking for an AI Developer/DevOps Engineer for a remote, contract opportunity.

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.

Key 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.

Skills and Requirements

• 4+ years of related engineering experience, including hands-on enterprise software development work (Python preferred).
• 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.
• Strong communicator, tenacy and passion for learning and expanding their skillset in AI
• 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.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request to [email protected].