Remote AI Jobs with Certification Support

Requirements

• BS in Computer Science or related field
• 6+ years of equivalent hands-on security experience
• Deep expertise in AI/ML systems and threat modeling
• Ability to partner with engineering and data science teams
• Strong communication and collaboration skills
• Experience with cloud security and compliance
• Familiarity with Zero Trust principles and Secure by Default framework

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• 3+ years leading full-stack engineering teams
• 5+ years of strong full-stack software engineering experience
• Deep expertise across AWS, Kubernetes, backend services, APIs, databases, and modern frontend/UI development
• Strong backend skills in Python, Node.js, Go, or similar languages
• Proven track record owning complex product domains from initial design through production and ongoing evolution

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 3+ years of proven ability in machine learning, including work with generative models
• Proficiency in Python and data science libraries (e.g. Pandas)
• Strong skills in data analysis, visualization, and applied ML workflows
• Excellent interpersonal skills and proven ability to translate sophisticated technical insights
• Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• 3+ years of proven ability in machine learning, including work with generative models
• Proficiency in Python and data science libraries (e.g. Pandas)
• Strong skills in data analysis, visualization, and applied ML workflows
• Excellent interpersonal skills and proven ability to translate sophisticated technical insights
• Strong analytical and independent problem-solving skills, with ability to navigate ambiguity

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Serve as the primary security and compliance expert in customer engagements
• Address technical questions about Claude's architecture, data flows, encryption, access controls, and deployment models
• Partner with CISOs, security architects, compliance teams, and DPOs to understand their security requirements
• Design solutions that meet European regulatory standards (GDPR, EU AI Act, DORA, NIS2, SOC 2, PCI-DSS, and national regulator expectations)
• Lead technical deep-dives on network architecture, EU data residency, data retention and Zero Data Retention (ZDR) policies, cross-border data transfers, API security, authentication/authorization, audit logging, and integration patterns for regulated environments

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Design and engineer security controls for AI-enabled SaaS applications
• Define and evolve the enterprise AI Security Architecture
• Establish secure-by-design patterns across AI development, deployment, and operations
• Extend identity and access principles to non-human identities and autonomous agents
• Implement delegated and 'on-behalf-of' authorization patterns
• Apply least-privilege and scope-limiting controls to prevent privilege escalation

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Conduct independent reviews of the data and infrastructure environments used for developing, deploying, and monitoring AI/machine learning models
• Evaluate risks across the model lifecycle infrastructure: feature engineering pipelines, feature stores, CI/CD for models, deployment platforms, and model monitoring systems
• Assess data governance practices, including data quality, lineage, access controls and identify gaps that could materially impact model behavior or risk
• Identify and escalate risks or control gaps proactively across all stages of the model and data platform lifecycle
• Help establish and enhance specific controls and validation practices for data and infrastructure used in model development and deployment

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Remote Work

Skills

Requirements

• Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
• Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
• Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
• Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
• Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
• Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
• Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
• Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
• Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
• Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
• Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
• Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
• Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• Design, implement, and maintain security controls for GenAI, LLM, AI Agent, and MLOps platforms.
• Develop AI security guardrails, access controls, prompt protection mechanisms, and data protection strategies.
• Lead AI-focused threat modeling initiatives and proactively identify security risks across AI systems.
• Define and implement controls aligned with NIST AI Risk Management Framework (AI RMF), ISO/IEC 42001, OWASP LLM Top 10, and MITRE ATLAS.
• Collaborate with Red Teams and Security Operations teams to perform adversarial testing and security assessments.

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Performance Bonus
• Remote Work

Skills

Requirements

• 12+ years of professional experience
• 5+ years in iOS / macOS application development
• Expertise in Apple's Core iOS and Foundation frameworks
• BS in Computer Science, Mathematics, Statistics, or a related field
• Experience in shipping impactful mobile frameworks used by others outside your direct team
• Experience leading the architecture and development of complex, high-performance production systems
• Demonstrated ability to technically lead projects, mentor engineers, and drive cross-functional initiatives from concept to delivery
• Excellent analytical, problem solving and communication skills

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Support the design, operationalization, and continuous improvement of the bank's Responsible AI framework
• Translate Responsible AI principles and evolving regulatory expectations into practical, implementable requirements
• Develop reusable risk assessment approaches, control mappings, AI pattern blueprints, evidence checklists, and monitoring expectations
• Establish a proportionate, risk-tiered approach to governance
• Communicate clearly across technical and non-technical stakeholders
• Help establish repeatable approaches that scale without losing rigor

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Minimum of 10 years in B2B Pre-Sales experience
• Strong technical background in AI, Software Engineering or Cyber Security
• Solutions Architect, Field CTO or Product Management in Cyber Security vendors
• Ability to lead major customer engagements
• Excellent customer-facing skills
• Ability to tackle complex challenges faced by customers
• Expertise in AI Security space and product offering

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget

Skills

Requirements

• Design and implement safeguards for internal AI usage
• Architect and implement guardrails for tool-using AI systems
• Build enforcement mechanisms that govern AI behavior at execution time
• Design and implement identity and access controls for agents and automation
• Implement logging and tracing for AI activity
• Perform agentic system threat modeling using MAESTRO
• Translate findings into practical safeguards and detection logic

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills

Requirements

• Strong research or product deployment record in areas related to responsible AI
• Strong research fundamentals, machine learning principles, and development methodologies around LLMs, foundation models, and diffusion models
• Deep experience in human-centered research
• Work with highly-sensitive content with exposure to offensive and controversial content
• BS, MS or PhD in Computer Science, Machine Learning, or related fields or an equivalent qualification acquired through other avenues
• Strong organizational and operational skills working with large, multi-functional, and diverse teams

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Deep expertise in application security, AI/ML risk, and cloud-native security engineering
• Strong ownership, structured problem solving, cross-functional collaboration, and the ability to balance risk reduction with business velocity
• Conducts structured Threat Modeling & Risk Assessment exercises for generative AI, RAG, and agent-based systems
• Defines and operationalizes Monitoring, Detection & Incident Response capabilities for AI systems
• Delivers measurable outcomes aligned to 30-, 150-, and 210-day milestones

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Providing technical guidance and support to Sales Engineers
• Developing and maintaining customer-facing integrations
• Managing integrations deployment lifecycles across environments
• Provisioning and deploying hybrid infrastructure for customer environments
• Technical consultations for customers on the best way to utilize and integrate the ZS AI Security platform

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Gym Membership
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off

Skills

Requirements

• Set technical direction for projects developing and applying safety methods and pipelines
• Engage with stakeholders to translate mission needs and operational constraints into actionable safety requirements
• Lead projects and programs to design, implement, and validate model evaluation for cutting edge AI
• Translate cutting-edge research into mission-relevant tools and prototypes

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Lead AI ecosystem assessments and design tailored governance frameworks
• Own multi-workstream engagements and drive executive alignment
• Define governance evaluation and approval processes for AI tools and use cases
• Develop AI governance operating model blueprints
• Facilitate executive and working sessions to align stakeholders and drive decisions

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Minimum of 5 years of professional experience in IT Risk Management, Cyber Security, IT Audit, SOC Reporting, GRC, AI Risk Management, or related fields.
• Experience managing multiple projects and teams simultaneously in a consulting or professional services environment.
• Strong understanding of SOC 2, Information Security frameworks, IT controls, Cyber Security governance, and risk management met

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Dental Insurance
• Disability Insurance
• Employee Assistance Program
• Employee Discounts

Skills

Requirements

• Independently challenge model owners across lending, fraud, and AML
• Reproduce their results, set and defend the acceptance thresholds, and own the call on whether a model is sound
• Hunt the silent errors that make metrics lie, and prove them out before they reach production
• Choose evaluation that holds up under real conditions: rare events, shifting populations, and drift that only shows up after launch
• Work hands-on in codebases you did not write, learning the data, configs, and conventions, and ship production code in the tooling you build to validate them
• Build the agentic validation tooling the team depends on, orchestrating
• Partner widely across the organization
• Work with the first-line modelers you challenge, the Legal, Compliance, and fair-lending teams who rely on your analysis, and the auditors and bank partners who carry it into regulatory engagements

Benefits

• 401k Matching
• Certification Support
• Flexible Hours
• Health Insurance
• Home Office Budget
• Learning Budget
• Paid Time Off
• Remote Work

Skills

Requirements

• Build and continuously enhance the risk management framework for AI and Agentic AI systems
• Inventory and map Nubank's AI use cases to surface gaps, materiality, and the most critical risks
• Assess whether first-line monitoring is effective, proportionate to model risk, and sufficient to keep AI systems fit for purpose over time
• Perform independent technical assessments across generative AI, and agentic workflows, covering data, assumptions, methodology, testing, behavior, and monitoring
• Assess risks in LLM-powered applications, including RAG pipelines, tool use, autonomy boundaries, and model drift
• Design the guardrails and platform-level controls that govern the safe use of AI systems
• Act as a credible technical peer to first-line engineering and AI development teams, providing practical guidance on AI risk without slowing responsible innovation

Benefits

• 401k Matching
• Certification Support
• Company Retreats
• Conference Budget
• Coworking Space
• Dental Insurance
• Disability Insurance
• Employee Assistance Program

Skills