Referso Jobs

Lead deployment, administration, and strategic use of the HiddenLayer platform to protect AI/ML systems from adversarial attacks and other AI-specific threats.

Responsibilities

Deploy, configure, and administer the HiddenLayer platform
Integrate HiddenLayer with enterprise SIEM, SOAR, EDR, vulnerability management, and cloud security platforms
Create detection rules, dashboards, and executive reporting on AI security posture
Protect AI models against adversarial attacks, model theft, prompt injection, model poisoning, and unauthorized inference
Develop monitoring and detection strategies for production AI workloads

Requirements

Nice to have: additional AI security platforms
Nice to have: MLflow
Nice to have: Kubeflow
Nice to have: SageMaker
Nice to have: Vertex AI

Skills

cybersecurity engineering security architecture HiddenLayer deployment adversarial machine learning prompt injection

Principal Security Engineer, AI Security & SecOps

Uniphore · Posted Sep 14, 2026

Open

Bangalore, India
Senior
8–10 years

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Lead AI-native security and security automation, orchestrate security operations and incident response for Uniphore’s AI platform.

Responsibilities

Own AI and agentic security tooling, including Wiz AI Security Posture Management and AI Lens
Drive MCP and agent protection from visibility to active enforcement, and integrate model and AI supply‑chain scanning into CI/CD
Build and run the AI red‑teaming program, aligned to the OWASP LLM and Agentic Top 10 and MITRE ATLAS
Operationalize Wiz CNAPP, CSPM, and DSPM for cloud and data security posture
Build detection‑as‑code and SOAR workflows; automate alert triage, enrichment, and assignment

Requirements

Bachelor's in Computer Science, Information Security, or related field
Nice to have: GCIH
Nice to have: GCFA
Nice to have: CISSP
Nice to have: cloud security certification

Skills

security engineering incident response cloud security CNAPP Wiz

Lead AI Cybersecurity Champion

Sherwin-Williams · Posted Nov 6, 2026

Open

Cleveland, Ohio, United States
Hybrid
Full-time · Lead
8–12 years

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Lead AI Application Security Champion focused on security risks for LLM-based and agentic AI applications within the software development lifecycle.

Responsibilities

Partner with development teams to identify and address security risks throughout the software development lifecycle
Facilitate threat modeling and abuse-case analysis for traditional and AI-enabled applications
Develop security requirements
Provide vulnerability prioritization and remediation guidance
Assist teams with applying application and AI security standards and best practices

Requirements

Bachelor’s Degree (or equivalent)
Nice to have: Performing security testing of AI-enabled applications
Nice to have: Prompt security
Nice to have: Retrieval data security
Nice to have: Penetration testing methodologies

Skills

Application security Cybersecurity LLM security Agentic AI Threat modeling Secure development practices

AI Security Consulting Director

CNA Insurance · Posted Nov 6, 2026

Open

Chicago, Illinois, United States
Hybrid
Full-time · Director
$97K–$189K per year
5+ years

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Hands-on technical contributor responsible for reviewing, evaluating and validating AI initiatives across CNA’s enterprise, focusing on technical security assessment of AI systems and data pipelines.

Compensation

national base pay range for this job level is $97,000 to $189,000 annually

Responsibilities

Serve as the AI Security team’s technical reviewer within the AI Governance review process
Conduct architecture and design reviews of AI/ML, GenAI, LLM, and agentic initiatives, documenting findings, risks, and recommended controls
Write and maintain technology evaluation criteria for RFIs and RFPs covering AI security tooling and solutions
Test, validate, and benchmark candidate AI security solutions through proofs of concept and hands-on assessments
Perform threat modeling and security risk assessments of AI systems, models, and data pipelines

Requirements

Bachelor’s Degree
Nice to have: CISSP
Nice to have: CCSP
Nice to have: GIAC
Nice to have: AI/cloud security credentials

Skills

AI/ML GenAI LLM security AWS

Staff Software Engineer - Security

Flow Engineering · Posted Nov 5, 2026

Open

London
Staff
8+ years

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Own security architecture, harden the platform, build compliance posture, lead AI security.

Compensation

Competitive salary and meaningful equity.

Responsibilities

Own security architecture across the platform
Harden the full stack, from application security to cloud infrastructure
Drive SOC 2 and get us ready for the certifications
Secure our AI and agentic systems
Build the security tooling across detection, monitoring, vulnerability management, and CI/CD

Skills

application security cloud security AWS GCP Azure identity and access secrets network security data protection threat modeling

Senior Product Line Manager (Application & Security Testing)

Keysight · Posted Nov 3, 2026

Open

Calabasas, California, United States
Senior
$153K–$255K per year
10+ years

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Lead the vision, strategy, and roadmap for Keysight’s Application and Security Testing product line, driving AI-native security solutions and market positioning.

Compensation

California pay range: MIN $153,090 - MAX $255,150

Responsibilities

Define and own the Application and Security Testing portfolio
Translate customer problems, market trends, and security research into clear requirements, priorities, and success metrics
Drive product evolution to cover AI-native attack surfaces
Lead transition from engineering incubation to scalable, revenue-generating offering
Own full lifecycle: discovery, MVP definition, beta programs, GA launch, continuous improvement

Requirements

Bachelor’s or Master’s Degree in Computer Science, Software Engineering, Data Science or related field
Nice to have: Security testing tools (AI red‑teaming, breach and attack simulation, DAST, SAST, IAST, API testing)
Nice to have: OWASP Top 10 for LLM Applications
Nice to have: MITRE ATLAS and ATT&CK
Nice to have: NIST AI RMF

Skills

AI security LLM security Agentic security

Principal Cloud Security Engineer

HealthEquity · Posted Nov 3, 2026

Open

Remote, United States
Remote
Full-time · Principal
12+ years

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As a Principal Cloud Security Engineer, Product Security, you provide technical leadership for the security of the cloud environments that host HealthEquity's products and platforms. You design posture management, policy-as-code guardrails, and automated controls.

Responsibilities

Lead the architecture and ongoing evolution of cloud security posture management across a large multi-subscription estate using CNAPP/CSPM tooling.
Design and build policy-as-code preventive guardrails, including service control policies, Azure Policy, and infrastructure-as-code validation in CI/CD.
Own the security architecture for cloud landing zones and account and subscription provisioning.
Build event-driven auto-remediation that enforces security and compliance baselines at scale.
Lead network exposure reduction for customer-facing applications, including web application firewall rule management and tighter security group ingress.

Requirements

Nice to have: GCP
Nice to have: Control Tower
Nice to have: Organizations
Nice to have: Security Hub
Nice to have: GuardDuty

Skills

Cloud Security Engineering AWS Azure

AI Investigations & Enforcement Analyst

Vanguard · Posted Nov 3, 2026

Open

Hyderabad, Telangana, India
Hybrid
Full-time · Senior
5+ years

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We are seeking an experienced security practitioner responsible for investigating AI-related security events and executing approved enforcement actions across enterprise AI use cases. This role supports a 24/7 operational security function and combines hands-on threat investigation, policy validation, evidence collection, and control tuning to reduce risk while enabling secure adoption of AI technologies.

Responsibilities

Triage and investigate alerts involving enterprise AI applications, LLMs, AI agents, plugins, skills, browser extensions, local IDE tooling, agent-to-agent traffic, and SaaS/PaaS attack surfaces.
Correlate telemetry from endpoint, network, cloud, SaaS/PaaS, identity, AI gateway, and application controls to determine scope, cause, and potential impact.
Execute documented enforcement actions such as blocking prohibited AI destinations or tools, restricting risky agent capabilities, escalating compromised identities, and recommending policy changes.
Validate detections and enforcement policies through controlled sandbox and adversarial testing, including prompt injection, impersonation, data leakage, unsafe tool use, and unauthorized model or agent access.
Maintain investigation of records, evidence, indicators, case timelines, and remediation actions in accordance with security operations procedures.

Requirements

Bachelor’s degree (B.E./B.Tech) in Computer Science, Cybersecurity, Information Technology or a related discipline
Master’s degree/Diploma in Cybersecurity or Network Security

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