Remote Ai-security-privacy Jobs with Professional Development

Requirements

• 10+ years in IT systems architecture, security architecture, identity governance, or cloud platform engineering
• Depth in at least one: M365 / Entra ID / Azure landing zones; AWS Organizations / IAM; GCP Org Policy / VPC-SC; identity & privileged access; or SOC 2 / ISO 27001 / NIST CSF leadership
• Hands-on AI-native experience: enterprise procurement and rollout of Anthropic / OpenAI / Azure OpenAI, ZDR / BAA / DPA negotiation, at least one bounded agent deployed in a real tenant
• Consultative posture with CISOs: translate concerns into architecture without making anyone feel cornered
• Written, inspectable deliverables; the readiness plan is a document the client signs, not a deck
• Pace-calibration range: bringing both an early-stage IT team and a sophisticated cloud-native one up the curve
• A track record of respecting an existing security boundary rather than pushing a single vendor's cloud

Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• Professional Development
• Remote Work
• Flexible Hours
• Paid Time Off

Skills

Requirements

• Hands-on experience in security engineering
• Experience securing AI/ML systems
• Relevant security certifications
• Strong understanding of secure MLOps/LLMOps practices
• Experience with cloud and container security
• Ability to perform incident analysis and troubleshooting

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Professional Development
• Remote Work
• Wellness Programs

Skills

Requirements

• 10+ years of experience in cybersecurity
• Bachelor's degree in Computer Science, Cybersecurity, or related field
• Strategic leadership and oversight for cloud architectures and AI-driven systems
• Deep technical expertise and relevant hands-on experience
• Strong leadership skills to influence security strategy and drive innovation

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Performance Bonus
• Professional Development
• Remote Work
• Retirement Plan

Skills

Requirements

• Design and implement comprehensive AI security architecture
• Collaborate with AI business deployment team
• Establish security requirements and controls for AI applications
• Develop and enforce AI usage policies and security guardrails
• Conduct AI-specific threat modeling and risk assessments

Benefits

• Remote Work
• Flexible Hours
• Health Insurance
• Dental Insurance
• Vision Insurance
• 401k Matching
• Professional Development

Skills

Requirements

• Define and maintain AI security reference architectures
• Establish and evolve security requirements
• Design and deploy controls to ensure model integrity and governance
• Conduct and lead AI/ML-specific threat modeling
• Define and run security design reviews for AI initiatives

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development

Skills

Requirements

• Define and execute the enterprise AI security strategy
• Design, build, and maintain reusable AI security frameworks
• Perform hands-on security assessments of AI systems
• Drive innovation in AI security techniques, controls, and tooling
• Apply and guide the application of AI security frameworks
• Apply Zero Trust principles to hybrid and cloud infrastructure environments
• Partner closely with Enterprise Architecture and Platform Engineering

Benefits

• 401k Matching
• Health Insurance
• Flexible Hours
• Remote Work
• Paid Time Off
• Performance Bonus
• Professional Development

Skills

Requirements

• Define and execute the enterprise AI security strategy
• Design, build, and maintain reusable AI security frameworks
• Perform hands-on security assessments of AI systems
• Drive innovation in AI security techniques, controls, and tooling
• Apply and guide the application of AI security frameworks
• Apply Zero Trust principles to hybrid and cloud infrastructure environments
• Partner closely with Enterprise Architecture and Platform Engineering

Benefits

• 401k Matching
• Health Insurance
• Flexible Hours
• Remote Work
• Professional Development
• Performance Bonus
• Stock Options

Skills

Requirements

• Deep technical expertise in AI systems, machine learning, and cybersecurity
• Strong communication skills to explain complex technical and risk issues
• Ability to engage with technical experts, regulators, analysts, and senior industry leaders
• Experience with security frameworks and risk management
• Strong understanding of cloud security and compliance

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Professional Development
• Remote Work

Skills

Requirements

• Identify and mitigate key AI-specific threats
• Partner with Engineering, Product, Legal, and Privacy teams
• Evaluate third-party AI vendors and services for security posture
• Develop, implement, and enforce technical and policy-based guardrails
• Support AI-related incident response, investigation, and post-incident analysis
• Perform SOC-style monitoring, alert triage, and investigation
• Enhance detection rules and logging for AI-specific activity
• Contribute to threat modeling, particularly for AI integrations

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development
• Wellness Programs

Skills

Requirements

• 10+ years in information security, with 5+ years in senior leadership roles.
• Demonstrated experience in AI/ML security, data security, or cloud security architecture.
• Experience operating within a regulated financial services or insurance environment.
• Deep understanding of Secure SDLC and DevSecOps Model risk management concepts Identity and data protection controls in cloud environments Regulatory frameworks impacting AI and automated decisioning
• Proven ability to operate effectively in federated or multi-entity organizations.

Benefits

• 401k Matching
• Health Insurance
• Paid Time Off
• Flexible Hours
• Remote Work
• Professional Development
• Training Budget
• Wellness Programs

Skills

Requirements

• 4–7 years of experience in Cybersecurity, Application Security, Cloud Security, or SOC/IR, with exposure to AI/ML workloads.
• Strong understanding of LLMs, prompt engineering basics, GenAI risks, and threat vectors.
• Experience with at least one cloud platform (AWS preferred) in a security capacity.
• Familiarity with AI-related risks such as prompt injection, data exfiltration, model manipulation, hallucinations, and access misuse.
• Hands-on exposure to security monitoring tools, API security, logging, and cloud-native detection.

Benefits

• Employee Discounts
• Professional Development
• Remote Work
• Wellness Programs

Skills