Cybersecurity AI Engineer/Python
UNIVERSAL Technologies is seeking a Cybersecurity AI Engineer with advanced expertise in cybersecurity, Python development, and secure AI integration. The selected candidate will support a citywide digital services platform and work closely with leadership and cybersecurity teams to develop, test, and secure artificial intelligence applications that serve millions of users. Must be willing and ready to work on site from day 1, Mon-Fri in Brooklyn, NY.
WHO WE ARE:
UNIVERSAL Technologies, LLC is a Women-Owned (M/WBE) IT solutions and consulting company focused on delivering enterprise systems that significantly improve our clients' IT performance. We work across the IT spectrum including Development, Business/Systems/Data Analysis, Project Management, Cyber Security, Network Engineering, and High-Level System Architecture.
We are proud to place talented professionals on exciting and impactful projects that improve lives, build smarter cities, and deliver measurable value.
WHAT WE OFFER:
Our W2 employees can expect the following benefits:
Competitive pay
Health/Dental Insurance
Group Life Insurance
401K
HSA/FSA
Pre-Tax Transportation Program
Generous Paid Time Off/Holiday Policy
MANDATORY SKILLS/EXPERIENCE:
Candidates who do not meet the mandatory qualifications will not be considered.
Bachelor’s degree in Computer Science, Computer Engineering, or a related field (or equivalent work experience)
8+ years of hands-on experience in cybersecurity or information security and Python development
Proficiency in REST API integration to build tools and platform integrations
Experience with Git version control and full Git development lifecycle
Ability to write test scripts, automate test cases, and analyze test results using modern testing frameworks
Ability to learn and implement new technologies and methods independently
Strong written and verbal communication skills, with the ability to explain technical concepts to both expert and non-technical audiences
Demonstrated ability to stay current on emerging trends and best practices in AI and software testing
PREFERRED SKILLS/EXPERIENCE:
Strong problem-solving and critical thinking skills in dynamic technical environments
Experience with public cloud platforms such as AWS, Azure, or Google Cloud
Background in working within a security-focused technical environment
Ability to work collaboratively within interdisciplinary teams
Flexibility and willingness to learn new technologies
SCOPE OF SERVICES:
Design and implement secure AI-powered solutions that enhance system security across multiple platforms
Develop security-focused code and content for tools relied on by threat management teams
Build and deploy machine learning models for incident response, security orchestration, and threat detection
Integrate innovative technology to improve the accuracy and relevance of alerts and security notifications
Create and maintain clear, well-documented code, technical processes, and solution artifacts
Utilize REST and SOAP APIs from existing cybersecurity solutions to enhance detection and response
Perform functional, regression, performance, and usability testing to evaluate the behavior of AI models
Collaborate closely with cybersecurity leadership, engineering, and incident response teams
Support special projects and initiatives as assigned
WORK SCHEDULE & REQUIREMENTS:
35 hours per week, Monday–Friday, standard business hours (excluding mandatory unpaid meal break after 6 hours)
Remote work; candidate must be available for on-camera interviews
Final candidate’s degrees and certificates will be verified before onboarding
UNIVERSAL Technologies is an Equal Opportunity Employer.