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Mindlance

Senior Security AI Engineer

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What they do

An Artificial Intelligence Engineer develops, tests, and deploys artificial intelligence models. May work closely with data software engineers and data professionals to train and implement AI models into existing systems or develop new applications.

$129,894 / year median in the U.S.

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Job Description

Senior Security AI Engineer#26-21140 Rahway, NJ Onsite Job Description
Position Title:
Senior Security AI Engineer
Location:
Rahway, NJ (Fully Remote)
Duration:
6 months with possible extension About the
Role:
Seeking a Senior Security AI Engineer to design and build AI-enabled security solutions and automations across enterprise security domains, including security operations, cloud and infrastructure security, identity, and application security. This role is focused on hands-on engineering and solution delivery. The successful candidate will work on complex security problems, design appropriate AI-augmented or automated solutions, and implement them in production environments.
Responsibilities:
Design and build AI-assisted security solutions, including agent-style workflows and decision services. Translate security problems into engineered, production-ready solutions. Develop integrations and automations using APIs, services, and event-driven architectures. Apply engineering judgment to determine when AI, automation, or traditional logic is appropriate. Work across multiple security domains to deliver reusable solutions. Collaborate with security engineers, platform engineers, and data scientists as needed. Write maintainable, well-tested code and automation logic.
Required Qualifications:
Bachelor's degree in computer science, Engineering, Cybersecurity, or a related field. 8+ years of experience in security engineering, systems engineering, or security automation. Strong experience building and deploying production security systems or automations. Solid understanding of: Security operations concepts. Cloud and infrastructure environments. Identity and access management. Experience using AI or LLM-based capabilities as part of real systems. Proficiency in programming or scripting (Python or similar). Experience working with APIs and distributed systems.
Preferred Qualifications:
Master's degree or PhD in a related technical field. Experience designing AI-assisted workflows or agent-like systems. Background across multiple security domains (SOC, cloud, IAM, AppSec). Experience integrating with enterprise security platforms and internal services. What Success Looks Like Delivers working, production-grade AI-enabled security solutions, not prototypes. Converts ambiguous security problems into clear, engineered implementations. Builds solutions that are safe, explainable, and operationally usable. Reduces manual security effort through effective automation and AI-assisted decisioning. Earns trust from security engineers and domain teams through technical credibility. Contributes reusable patterns that scale across security domains.
EEO:
"Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of - Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans."