Senior Lead Security Engineer, AI
Company: JPMorganChase
Location: Columbus
Posted on: April 3, 2026
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Job Description:
Description Job Summary As a Senior Lead AI Security Engineer in
our Cybersecurity team, you will design and deliver secure
artificial intelligence solutions that support critical cyber use
cases. You will play a key role in shaping platform standards and
governance, collaborating with cross-functional teams, and driving
innovation in secure AI. Together, we will build foundational
capabilities and create lasting impact for our organization and the
wider community. Job 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 MRGR-style governance partners to meet documentation,
validation, and attestations; maintain model/AT inventories,
monitoring plans, 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
2–3 flagship capabilities per year (e.g., SOC triage assistant,
controls automation agent, DevSecOps code copilot). Required
qualifications, capabilities, and skills Minimum 7 years of
software/security engineering, including hands-on experience in one
or more of: detection engineering, SecOps, AppSec/DevSecOps, or
cloud security. Minimum 3 years building and operating applied
ML/LLM systems in production (RAG pipelines, embeddings,
fine-tuning/specialization, vector databases, model serving).
Proficiency in Python and at least one of: Java, Scala, or
TypeScript; experience with microservices, APIs, containers, and
Kubernetes. Familiarity with SIEM, EDR, SOAR, IAM, and ITSM
integrations; streaming/data engineering with Kafka or similar.
Experience with LLM orchestration and guardrails (prompt
engineering, injection defense, tool calling, 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 to meet documentation and monitoring
requirements. Demonstrated ability to ship secure, reliable AI
features with clear metrics and post-deployment monitoring.
Preferred qualifications, capabilities and skills Experience
building developer copilots for AppSec/DevSecOps (IaC scanning,
secrets detection, SAST/DAST triage). Cloud security engineering
across one or more major providers; IaC and policy-as-code.
Experience or exposure to Cyber operations, Adversarial ML and LLM
red teaming experience (prompt injection, data exfiltration, model
abuse, poisoning defenses). Graph ML for identity/threat detection;
anomaly detection over telemetry. GPU optimization, model
quantization/distillation, and on-prem/private model deployment.
Familiarity with governance for AI/ML systems in regulated
environments.
Keywords: JPMorganChase, Elyria , Senior Lead Security Engineer, AI, IT / Software / Systems , Columbus, Ohio
