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Ai Risk Jobs in Fremont, CA (NOW HIRING)

OneTrust

Staff Product Specialist

San Francisco, CA · On-site

Your Mission Define the AI Governance Vision: Establish the long-term product vision, capability strategy, and roadmap priorities for AI Governance, Responsible AI, AI Risk Management, and AI ...

Cadence Design Systems

AI Security Architect

San Jose, CA · On-site

$165 - $306/hr

Threat Modeling & Risk Management Conduct threat modeling for AI systems (e.g., prompt injection, model poisoning, data leakage) * Develop risk frameworks aligned with NIST AI Risk Management ...

Evitable

Communications Director

San Francisco, CA · On-site

$140 - $175/hr

A professor of computer science who has spent over a decade at the forefront of the field, David initiated the landmark Statement on AI Risk , the single sentence signed by the field's leading ...

Triwill Group

Senior Director, GRC

San Francisco, CA · On-site

$264 - $363/hr

Enterprise Risk & Governance: Operationalize Okta's AI risk and governance framework--addressing training data protection, model risk management, responsible AI principles, and alignment with ...

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Ai Risk information

See Fremont, CA salary details

$15

$33

$81

How much do ai risk jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for ai risk in Fremont, CA is $33.21, according to ZipRecruiter salary data. Most workers in this role earn between $21.30 and $42.36 per hour, depending on experience, location, and employer.

What is the difference between Ai Risk vs Data Scientist?

AspectAi RiskData Scientist
Required CredentialsBackground in AI, risk management, certifications in AI safetyDegree in Computer Science, Statistics, or related fields; certifications in data analysis
Work EnvironmentRisk assessment teams, AI development projects, regulatory settingsData analysis teams, research labs, tech companies
Employer & Industry UsageTech firms, AI safety organizations, regulatory agenciesTech companies, finance, healthcare, research institutions
Common Search & Comparison IntentUnderstanding AI risk roles, career differencesData analysis careers, AI safety roles

Ai Risk professionals focus on identifying and mitigating risks associated with artificial intelligence systems, often working in safety, ethics, and regulatory contexts. Data Scientists analyze large datasets to extract insights, build models, and support decision-making across various industries. While both roles require technical skills, Ai Risk emphasizes safety and ethical considerations, whereas Data Scientists focus on data analysis and modeling.

What job categories do people searching Ai Risk jobs in Fremont, CA look for?

The top searched job categories for Ai Risk jobs in Fremont, CA are:

What cities near Fremont, CA are hiring for Ai Risk jobs?

Cities near Fremont, CA with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Fremont, CA as of August 2026, with employment types broken down into 77% Full Time, 19% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $69,073 per year, or $33.2 per hour.

AI Security Architect

Cadence Design Systems, Inc.

San Jose, CA • On-site

$164K - $305K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago

Key responsibilities

  • Design, implement, and govern secure AI/ML systems, including model training, inference, and deployment pipelines.

  • Conduct threat modeling for AI systems and develop risk frameworks to identify and mitigate adversarial AI threats.

  • Ensure protection of training and inference data through data governance, anonymization, encryption, and compliance measures.

Cadence Design Systems rating

9.0

Company rating: 9.0 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

33rd of 247 rated software companies

Job description

At Cadence, we hire and develop leaders and innovators who want to make an impact on the world of technology.
Cadence InfoSec seeking a Security Architect with deep expertise in Artificial Intelligence (AI) and Machine Learning (ML) security to design, implement, and govern secure AI systems across the enterprise. This role will focus on protecting AI/ML models, data pipelines, and GenAI applications from emerging threats while enabling safe innovation.
Key Responsibilities
AI/ML Security Architecture
  • Design secure architectures for AI/ML systems, including model training, inference, and deployment pipelines
  • Define security controls for LLMs (Large Language Models), GenAI platforms, and AI APIs
  • Embed security into MLOps pipelines (DevSecOps for AI)

Threat Modeling & Risk Management
  • Conduct threat modeling for AI systems (e.g., prompt injection, model poisoning, data leakage)
  • Develop risk frameworks aligned with NIST AI Risk Management Framework
  • Identify and mitigate adversarial AI threats and abuse cases

Data Security & Privacy
  • Ensure protection of training and inference data (PII, PHI, proprietary data)
  • Implement data governance, anonymization, and encryption strategies
  • Ensure compliance with regulations (GDPR, HIPAA, etc.)

Cloud & Platform Security
  • Secure AI workloads across cloud platforms such as
    • Amazon Web Service
    • Microsoft Azure
    • Google Cloud
    • IBM Cloud
  • Architect secure integrations with AI services and APIs

Model Security & Integrity
  • Protect against model theft, inversion, and extraction attacks
  • Implement model monitoring for drift, anomalies, and abuse
  • Ensure secure model storage, versioning, and access control

Governance & Compliance
  • Establish AI security policies, standards, and guardrails
  • Align with industry AI frameworks such as
    • ISO AI standards (e.g., ISO/IEC 42001)
  • Support audit, regulatory, and CIO and CISO reporting

Collaboration & Leadership
  • Partner with data scientists, ML engineers, and product teams
  • Provide security guidance for AI product development
  • Lead security reviews and architecture boards
  • Mentor security engineers on AI-specific threats

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Cybersecurity, or related field
  • 8+ years in cybersecurity architecture or engineering
  • Experience securing AI/ML systems or data platforms
  • Strong understanding of:
    • Cloud security (IAM, network, containers, serverless)
    • API security and microservices
    • Encryption, key management, and identity systems
    • Development of Agent and Agentic AI for security use cases
    • Experience with MCP

Preferred Qualifications
  • Experience with LLMs (e.g., prompt engineering, RAG architectures)
  • Familiarity with adversarial ML techniques
  • Knowledge of tools like:
    • MLflow, Kubeflow, SageMaker
    • SIEM/XDR platforms

  • Certifications:
    • CISSP, CCSP, or cloud security certifications
  • Experience in semiconductor industry is a plus

Key Skills
  • AI Threat Modeling (Prompt Injection, Data Poisoning, Model Evasion)
  • Secure MLOps / DevSecOps
  • Zero Trust Architecture
  • Data Privacy & Governance
  • Cloud-Native Security
  • Risk & Compliance Management

The annual salary range for California is $164,500 to $305,500. You may also be eligible to receive incentive compensation: bonus, equity, and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the salary range is a guideline and compensation may vary based on factors such as qualifications, skill level, competencies and work location. Our benefits programs include: paid vacation and paid holidays, 401(k) plan with employer match, employee stock purchase plan, a variety of medical, dental and vision plan options, and more.
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