Lead AI Security Engineer - Secure AI & Governance

JPMorgan Chase & Co.; Columbus (OH); On-site; USD 180,000 - 230,000; Full time

Job summary

JPMorgan Chase & Co. seeks a Senior Lead AI Security Engineer to design and deliver secure AI solutions for cyber use cases. You will shape platform standards, collaborate across teams, and drive innovation in secure AI, building reusable components and governance workflows.

Responsibilities include end-to-end AI system design, secure LLM/RAG services, and implementing monitoring, incident response, and compliance with risk governance. You will mentor teams and help publish safety playbooks.

Qualifications

• Minimum 7 years of software/security engineering experience with hands-on security and engineering.
• Minimum 3 years building and operating applied ML/LLM systems in production (RAG pipelines, embeddings, fine-tuning/specialization).
• Proficiency in Python and one of Java/Scala/TypeScript; experience with microservices, APIs, containers, and Kubernetes.
• Familiarity with SIEM, EDR, SOAR, IAM, and ITSM integrations; streaming/data engineering with Kafka.
• Experience with LLM orchestration and guardrails (prompt engineering, tool calls, safety filters).
• Hands-on with ML/LLM ecosystems: PyTorch or TensorFlow; scikit-learn; LangChain/LlamaIndex; ONNX/Triton/Ray.
• Strong understanding of secure SDLC, privacy, and data protection; ability to partner with governance for documentation and monitoring.

Responsibilities

• Lead end-to-end design and delivery of AI solutions for cyber use cases, from problem framing and data integration to model development, evaluation, deployment, and monitoring.
• Build secure LLM/RAG services and ML pipelines that integrate with SIEM/XDR, EDR, SOAR, IAM, ITSM, CMDB, code repos, and cloud telemetry.
• Establish engineering standards for secure AI: prompt security, tool/function calling patterns, input/output validation, PII masking, secrets handling, and deterministic fallbacks.
• Create evaluation harnesses with offline/online metrics, golden datasets, adversarial prompt sets, jailbreak tests, and safety/quality KPIs.
• Partner with platform teams to stand up reusable AI components: LLM gateways, vector stores, feature stores, evaluation/observability, and governance workflows.
• Implement drift and quality monitoring; define SLAs/SLOs; build incident response runbooks for AI-enabled services.
• Collaborate with risk and governance partners to meet documentation, validation, and attestations; maintain model inventories and change logs.
• Deliver measurable impact: reduce MTTR, improve detection precision, automate control evidence collection, and accelerate secure engineering.
• Mentor engineers and analysts; publish playbooks, templates, and safe prompt libraries; lead brown-bags and office hours for adoption.
• Drive a roadmap of flagship capabilities per year (e.g., SOC triage assistant, controls automation agent, DevSecOps code copilot).

Skills

Python

Java

Scala

TypeScript

Kubernetes

APIs

Microservices

CI/CD

ML/LLM systems

PyTorch

LangChain

LlamaIndex

Vector stores

Security engineering

Data streaming

Tools

Kafka

Docker

ONNX

Job description

JPMorgan Chase & Co. seeks a Senior Lead AI Security Engineer to design and deliver secure AI solutions for cyber use cases. You will shape platform standards, collaborate across teams, and drive innovation in secure AI, building reusable components and governance workflows.

Responsibilities include end-to-end AI system design, secure LLM/RAG services, and implementing monitoring, incident response, and compliance with risk governance. You will mentor teams and help publish safety playbooks.