AI Security Engineer

New Yesterday

This range is provided by LHH. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Recruiting Consultant | LHH | Program Management and Relationship Building AI/ML Security Engineer – Agentic AI Location: Remote – with ability to travel to SF as needed Compensation: The anticipated salary range is $150,000 – $210,000 base salary (flexible for the right candidate) Visa Sponsorship: Not available – U.S. Citizens or Green Card holders only About the Opportunity Our client, an emerging leader in enterprise artificial intelligence, is transforming the way humans and intelligent digital agents work together. Their mission is to create secure, ethical, and high-performance AI solutions that empower executives to make faster, smarter, and more human-centered decisions. This role offers the chance to join a fast-growing, venture-backed startup at the forefront of AI innovation—where security, trust, and cutting-edge technology converge. Position Overview The AI/ML Security Engineer will own the strategy and implementation of security measures for advanced AI models and agentic systems. This is a hands-on role focused on preventing adversarial attacks, securing machine learning pipelines, ensuring data privacy, and maintaining the integrity and fairness of AI systems. You will collaborate closely with engineering, infrastructure, and AI research teams to embed security at every stage of the development lifecycle. Key Responsibilities Design and implement defenses against adversarial ML attacks (model poisoning, evasion, data exfiltration). Ensure secure deployment and lifecycle management of AI models. Develop and maintain auditing, monitoring, and logging systems for AI decision-making and predictions. Implement bias detection, fairness monitoring, and ethical AI governance processes. Apply privacy-preserving techniques (data anonymization, encryption, secure enclaves) for sensitive datasets. Conduct adversarial security scanning and model vulnerability assessments. Collaborate with DevOps and AI engineering teams to harden pipelines, containerized environments, and deployment infrastructure. Qualifications Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, Cybersecurity, or a related field. 3+ years of experience in AI/ML development or security, including model protection, adversarial testing, and secure AI deployment. Strong knowledge of compliance and certification frameworks (ISO 42001, NIST AI RMF, ISO 27701, ISO 27001, GDPR, CCPA). Proficiency in Python and familiarity with ML frameworks (PyTorch, TensorFlow). Experience with Kubernetes, container security, and CI/CD pipeline hardening. Understanding of ethical AI principles, bias mitigation, and human-centered AI design. Preferred Skills Certifications in AI/ML or security (e.g., Microsoft Certified: Azure AI Engineer Associate, PyTorch Developer Certificate, CISSP). Experience in scaled startup environments or high-growth technology companies. Knowledge of behavioral analysis and cognitive science as applied to AI-human interaction. Why Join Shape the security strategy of next-generation AI systems. Collaborate with elite engineers, data scientists, and product leaders. Be part of a culture defined by Competitive Spirit, Courage, Caring, Curiosity, and Collaboration . Contribute to a mission that blends cutting-edge AI with ethical, human-centered innovation. Application Note: Must have legal authorization to work in the U.S. and be able to travel to San Francisco for on-site collaboration as required. Equal Opportunity Employer/Veterans/Disabled To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable: • The California Fair Chance Act • Los Angeles City Fair Chance Ordinance • Los Angeles County Fair Chance Ordinance for Employers • San Francisco Fair Chance Ordinance Seniority level Seniority level Associate Employment type Employment type Full-time Job function Job function Information Technology and Engineering Industries Technology, Information and Media Referrals increase your chances of interviewing at LHH by 2x Inferred from the description for this job Medical insurance Vision insurance 401(k) Paid maternity leave Paid paternity leave Disability insurance Get notified about new Machine Learning Engineer jobs in United States . 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Location:
San Francisco, CA, United States
Salary:
$250,000 +
Job Type:
FullTime
Category:
IT & Technology