Jobs · Information Technology · Florida

Senior Security Engineer - AI, Vice President

MUFG · Tampa, FL · 1 mo ago
On-siteInformation Technology$140k–$203k/yrFull-time

Role Overview

MUFG is seeking a highly motivated Security Engineer to design, develop, and deploy autonomous agents that eliminate manual overhead and drive intelligent decision-making across the organization while ensuring proper guardrails and security controls are implemented.

Key Responsibilities

  • Agentic Workflow Design: Build and maintain AI agents capable of multi-step reasoning and tool-use to automate cyber security use cases such as Autonomous Incident Investigation, vulnerability prioritization.

  • Advanced Prompt Engineering: Use and fine-tune machine learning models (like Deep Learning, K-MEANS, SVM etc) to identify sophisticated attack patterns that bypass traditional signature-based defenses.

  • LLM Integration: Integrate large language models (OpenAI, Anthropic, or open-source models into production environments via APIs or local deployments).

  • Data Pipeline Orchestration: Develop and optimize data ingestion pipelines, specifically focusing on Vector Databases.

  • Process Mapping & Optimization: Audit existing manual workflows and re-engineer them using a "Machine-First" mindset, utilizing LLMs to handle unstructured data.

  • Infrastructure & MLOps: Deploy and monitor AI solutions using cloud-native tools, ensuring high availability, low latency, and cost-efficiency.

  • Safety & Compliance: Implement guardrails for AI outputs to ensure ethical standards, data privacy, and "Human-in-the-loop" checkpoints where necessary.

Qualifications

  • Expert-level in Python with hands-on in data ingestion, cleaning, machine learning libraries covering Scikit-Learn, Pytorch, system and web-based integrations.

  • Proficiency with LangChain, CrewAI, or AutoGPT for agent orchestration.

  • Hands-on experience in using and tuning Machine Learning models for wide range of cyber security use cases.

  • Hands-on experience with at least one cloud AI solution (AWS Bedrock/SageMaker, Azure AI).

  • Deep experience with RESTful and GraphQL APIs to connect disparate systems.

Education

  • Bachelor's or Masters degree in Cybersecurity, Computer Science, Artificial Intelligence or related field, or relevant industry certifications.

  • Equivalent work experience is equally preferable.

Preferred Certifications

  • GIAC Machine Learning Engineer

  • AWS Certified Machine Learning Engineer

  • Microsoft Certified: Azure AI Engineer Associate

  • Certified Information Systems Security Professional (CISSP)

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