Machine Learning Engineer Cybersecurity Jobs

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Lead Security Engineer

JPMorganChase Tampa, FL

Tampa, FL

Today

Full time Ai Enabled Security Ai Security Application Security

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Job Description

Based onsite in Tampa, Florida, the Lead Security Engineer role at JPMorgan Chase contributes as a core technical contributor within a high performing Cybersecurity team. The position centers on delivering secure software solutions while collaborating across multiple business functions to prevent misuse and ensure secure software delivery.

Responsibilities

Develops and implements creative security solutions, overseeing design, development, and debugging with the ability to move beyond routine approaches to solve complex problems.
Writes secure, production-grade code and conducts reviews and debugging of code written by others.
Minimizes security vulnerabilities by applying industry insights and regulatory guidance, and by establishing processes to measure the effectiveness of existing controls.
Leverages enterprise‑approved AI capabilities to accelerate threat modeling, vulnerability analysis, and security documentation, while validating outputs and safeguarding sensitive data.
Collaborates with stakeholders and business leaders to identify security needs and propose modifications during periods of vulnerability.
Conducts discovery, vulnerability assessments, penetration testing, and threat scenarios across multiple assets to identify weaknesses, and performs threat modeling for applications including external interfaces with the internal JPMorgan Chase network.
Incorporates reuse‑first, AI‑assisted practices within SDLC/toolchains to strengthen security testing, ensuring traceability, auditability, and alignment with resiliency and security expectations.
Fosters a team culture that emphasizes diversity, opportunity, inclusion, and respect.
Supports collaboration with teams located in different geographic locations.

Requirements

5+ years of experience with Java and Python in cloud environments (public and private).
Proven ability to plan, design, and implement enterprise‑level security solutions.
Hands‑on AI and ML engineering expertise, including frameworks such as PyTorch and TensorFlow, and MLOps with CI/CD and model deployment and monitoring.
Extensive GenAI experience (LLMs, prompt engineering, RAG, fine‑tuning, embeddings/vector databases) and Agentic AI capabilities (tool and function calling, orchestration frameworks, multi‑agent workflows, evaluation/guardrails, and responsible AI/security).
Experience applying enterprise‑authorized AI capabilities within security engineering workflows with strong validation practices and awareness of data sensitivity.
Ability to review and validate AI‑assisted code and security recommendations before adoption, escalating uncertainty and ensuring outcomes align with security, resiliency, and auditability expectations.
Proficiency across all aspects of the Software Development Life Cycle, including development, testing, and implementation.
Advanced understanding of agile methodologies, CI/CD, application resiliency, and security.
In‑depth knowledge of the financial services industry and its IT systems.
Education: Bachelor's Degree.

Technologies

Java
Python
PyTorch
TensorFlow
CI/CD
MLOps
LLMs
Vector databases

Benefits

Base salary
Commission-based pay
Discretionary incentive compensation
Cash
Forfeitable equity
Comprehensive health care coverage
On-site health and wellness centers
Retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

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