Senior AI Security Engineer

Cybersecurity Jobs; Tampa (FL); On-site; USD 140,000 - 180,000; Full time

Benefits offered by this job

Medical and Prescription Drug Plans

Dental Plan

Vision Plan

Health Savings Account

Health Flexible Spending Account

Dependent Care Flexible Spending Plan

Supplemental Life Insurance

Short Term and Long Term Disability

Business Travel Insurance

401(k), Plus Match

Weekly Pay

Job summary

Experis seeks a Senior AI Security Engineer to design, develop, and deploy autonomous, agentic workflows for cybersecurity using AI. Based onsite in Tampa, FL, or related locations, you will build strong guardrails around LLM-driven systems, integrate cloud-native security, and tune models for robust incident investigation and vulnerability prioritization.

You will work with Python, ML frameworks, and agent orchestration tools like LangChain, CrewAI, or AutoGPT, plus Docker/Kubernetes for

Qualifications

• Hands-on Python experience with data ingestion/ cleaning.
• Experience with Scikit-Learn and PyTorch.
• Cloud AI platform experience (AWS Bedrock/SageMaker or Azure AI) with 3–4 years of hands-on work.

Responsibilities

• Design and maintain agentic workflows for autonomous cybersecurity use cases.
• Develop high-precision prompt systems with version control and optimize LLM outputs for reliable security logic.
• Tune machine learning models to detect sophisticated attack patterns that bypass signature-based defenses.
• Integrate LLMs (OpenAI, Anthropic, or open-source) into production using APIs or local deployments.
• Orchestrate data ingestion pipelines and emphasize vector databases for unstructured data.

Skills

Python

Scikit-Learn

PyTorch

System integration

Web integrations

LangChain

CrewAI

AutoGPT

RESTful APIs

GraphQL

Tools

Docker

Kubernetes

Git

RESTful APIs

GraphQL

OpenAI

Anthropic

AWS Bedrock

SageMaker

Azure AI

Job description

Experis is seeking a Senior AI Security Engineer to design, develop, and deploy autonomous, agentic workflows for cybersecurity use cases. This onsite role focuses on building strong guardrails and security controls around LLM-driven systems, from model tuning to production cloud integration. Based in Tampa, FL, the position draws on experience with AI security, secure automation, and cloud-native engineering.

What you’ll do

• Design and maintain agentic workflows that enable multi-step reasoning and tool-use for autonomous cybersecurity workflows, including incident investigation and vulnerability prioritization.
• Develop advanced, high-precision prompt systems with version control, and programmatically optimize LLM outputs to enforce reliable security logic and automated remediation scripts.
• Use and fine-tune machine learning models such as Deep Learning, K-Means, and SVM to detect sophisticated attack patterns that may bypass signature-based defenses.
• Integrate large language models (such as OpenAI, Anthropic, or open-source options) into production using APIs or local deployments.
• Orchestrate data ingestion pipelines, emphasizing vector databases, and re-engineer manual processes into a machine-first approach for unstructured data.

What you bring

• Hands-on Python experience, including data ingestion and cleaning, and familiarity with Scikit-Learn and PyTorch, plus system and web-based integrations.
• Proficiency with AI agent frameworks such as LangChain, CrewAI, or AutoGPT for agent orchestration.
• Hands-on experience using and tuning machine learning models for a range of cybersecurity use cases.
• 3-4 years of hands-on experience with at least one cloud AI platform, including AWS Bedrock/SageMaker or Azure AI.
• Strong DevOps and integration skills, including Docker, Kubernetes, Git, and deep experience with RESTful and GraphQL APIs.

Technologies

• Python, Scikit-Learn, PyTorch
• LangChain, CrewAI, AutoGPT
• Deep Learning, K-Means, SVM
• OpenAI, Anthropic
• Vector databases
• RESTful APIs, GraphQL
• Docker, Kubernetes, Git
• AWS Bedrock, SageMaker, Azure AI

Benefits

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

Location: Onsite Jersey City, NJ - Tampa - or Phoenix, AZ. Minimum experience: 3 years.