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Ai Risk Analyst Jobs in Seattle, WA (NOW HIRING)

As an Regional Risk Analyst, you will serve as the regional risk owner, responsible for building ... Own regional risk AI workflow optimization. Define AI opportunities for operational processes and ...

The role We're adding a Risk Analyst to our team to help us build and scale our user-facing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

The role We're adding a Risk Analyst to our team to help us build and scale our user-facing ... We may use artificial intelligence (AI) tools to support parts of the hiring process, such as ...

Senior AI Analyst

Seattle, WA · On-site

$173K - $234K/yr

Senior AI Analyst Company: The Boeing Company Boing Global Services Training Solutions is seeking an Senior AI Analyst in Seattle, WA. This is an onsite position. In this role, you'll identify and ...

Senior GRC Analyst

Seattle, WA · On-site

$140K - $165K/yr

Risk Governance: Lead both annual and ad-hoc risk assessments; maintain a dynamic risk register and ... AI so builders can spend more time creating software that changes the world. As a member of the ...

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Ai Risk Analyst information

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How much do ai risk analyst jobs pay per hour?

As of Jul 16, 2026, the average hourly pay for ai risk analyst in Seattle, WA is $46.10, according to ZipRecruiter salary data. Most workers in this role earn between $33.94 and $56.11 per hour, depending on experience, location, and employer.

How does an AI Risk Analyst typically collaborate with cross-functional teams to assess and mitigate risks?

AI Risk Analysts work closely with data scientists, engineers, compliance officers, and business leaders to identify, evaluate, and mitigate risks associated with AI systems. They facilitate risk assessment workshops, gather input from technical and non-technical stakeholders, and ensure that risk controls are integrated into AI development processes. Effective communication and documentation are crucial, as analysts must translate complex technical risks into actionable recommendations for diverse teams. This collaborative approach helps ensure that AI solutions are both innovative and aligned with regulatory and ethical standards.

What is a $900000 AI job?

A $900,000 AI job typically refers to high-level roles such as AI research directors, chief AI officers, or senior data scientists working in organizations with significant AI investments. These positions often require advanced skills in machine learning, deep learning, and data analysis, along with extensive experience and leadership responsibilities. Compensation at this level reflects the strategic importance and complexity of AI initiatives within the company.

What careers are at risk with AI?

AI poses a risk to jobs involving repetitive tasks and routine processes, such as data entry, basic customer service, and certain manufacturing roles. Roles that rely heavily on manual or predictable tasks are more susceptible to automation, while jobs requiring complex decision-making, creativity, and emotional intelligence are less vulnerable.

How to become an AI risk analyst?

To become an AI risk analyst, candidates typically need a strong background in computer science, data analysis, or related fields, along with knowledge of AI systems and risk management principles. Relevant skills include programming, statistical analysis, and familiarity with AI safety tools, often supported by certifications or advanced degrees. Gaining experience through internships or projects focused on AI ethics and safety is also beneficial.

What does an AI risk analyst do?

An AI risk analyst evaluates potential risks associated with artificial intelligence systems, including ethical, safety, and security concerns. They analyze data, develop risk mitigation strategies, and often use tools like risk assessment frameworks and programming skills to ensure AI deployments are safe and compliant with regulations.

What is the difference between Ai Risk Analyst vs Data Scientist?

AspectAi Risk AnalystData Scientist
Required CredentialsBachelor's in Risk Management, Data Science, or related fields; certifications in AI or risk analysisBachelor's or Master's in Data Science, Statistics, or Computer Science; certifications in data analysis or machine learning
Work EnvironmentFinancial institutions, insurance companies, or tech firms focusing on risk assessmentTech companies, research labs, or any industry leveraging data for insights
Employer & Industry UsagePrimarily in finance, insurance, and risk-focused sectorsAcross various industries including tech, healthcare, finance, and marketing

The main difference is that an Ai Risk Analyst specializes in assessing and managing risks related to AI systems, often within financial or risk-focused industries. In contrast, a Data Scientist analyzes large datasets to extract insights across diverse sectors. While both roles require strong analytical skills and knowledge of AI and data tools, the Ai Risk Analyst focuses more on risk mitigation specific to AI applications.

What are the key skills and qualifications needed to thrive as an AI Risk Analyst, and why are they important?

To thrive as an AI Risk Analyst, you need a strong foundation in data analysis, risk assessment, and an understanding of AI/ML technologies, typically supported by a degree in computer science, statistics, or a related field. Familiarity with risk management frameworks, AI auditing tools, and certifications such as CRISC or AI ethics credentials is often required. Excellent problem-solving, critical thinking, and communication skills help in identifying risks and conveying complex findings to stakeholders. These skills are crucial to ensure responsible AI deployment, mitigate potential risks, and maintain regulatory compliance.

What are AI Risk Analysts?

AI Risk Analysts are professionals who assess, monitor, and manage the risks associated with the development and deployment of artificial intelligence systems. Their work involves identifying potential threats such as bias, security vulnerabilities, ethical concerns, and compliance issues that could arise from using AI technologies. They collaborate with data scientists, engineers, and compliance teams to develop risk mitigation strategies and ensure that AI systems operate safely, ethically, and in accordance with relevant regulations.
What job categories do people searching Ai Risk Analyst jobs in Seattle, WA look for? The top searched job categories for Ai Risk Analyst jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Ai Risk Analyst jobs? Cities near Seattle, WA with the most Ai Risk Analyst job openings:
TikTok Shop - Regional Risk Analyst

TikTok Shop - Regional Risk Analyst

TikTok

Seattle, WA • On-site

$88K - $159K/yr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 9 days ago


TikTok rating

8.2

Company rating: 8.2 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

87th of 209 rated software companies


Job description

Responsibilities
About the Team: The TikTok E-commerce Governance and Experience team ensures our marketplace remains safe, trustworthy, and customer-centric across the globe. We protect users, sellers, and creators by designing policies, building systems, and managing operations that safeguard platform integrity. Role Overview: As an Regional Risk Analyst, you will serve as the regional risk owner, responsible for building, improving, and monitoring business processes that detect and prevent fraudulent activities across transactions, KYC, onboarding, and seller-creator affiliation in the region. You will bridge the gap between business needs and global risk frameworks, deeply understanding your region's unique risk landscape to make strategic decisions on defense deployments. In this evolving environment, you will also play a pivotal role in integrating Artificial Intelligence (AI) into daily operations, leveraging AI agents and machine learning models to scale our defense mechanisms and improve operational efficiency. Responsibilities: - Regional Strategy Ownership: Deeply understand business objectives and the specific risk landscape to make critical, data-driven decisions on risk thresholds, rule calibrations, and the launch of new defense strategies, effectively balancing platform security with regional business growth. - Investigations & Incident Management: Lead investigations and analysis of suspicious behavior, fraudulent transactions, and abuse in a timely manner to protect the integrity of the platform. Respond to escalations and manage incidents end-to-end until resolution. - AI Workflow & Agent Design: Own regional risk AI workflow optimization. Define AI opportunities for operational processes and capabilities and ideally build AI agents to drive operational improvements, automate investigative tasks, and scale risk detection capabilities. - Model Monitoring & Prompt Tuning: Evaluate and review AI model output accuracy and data drift signals within your region. Fine-tune LLM prompts continuously to improve model accuracy and operational efficiency. Conduct deep-dive Root Cause Analysis (RCA) when model performance degrades. - Human-in-the-Loop (HITL) Integration: Design and implement robust Human-in-the-Loop (HITL) supervision protocols to ensure AI-driven decisions are compliant, also safely audited and aligned with complex operational policies and market nuances. - Threat Intelligence & Vulnerability Mitigation: Monitor user communities for emerging threats and new methods of fraud. Identify vulnerabilities and collaborate proactively with cross-functional teams to mitigate occurrences of fraudulent activity before they scale. - Cross-Functional Collaboration: Engage with business, technology, product, data, and security/risk stakeholders to align risk strategies with commercial goals. Collaborate with Legal, Public Affairs, and regulators to investigate and respond to inquiries on fraud or crime-related activities. - Reporting & Strategy: Produce regular high-quality fraud reports summarizing new trends, model performance, and business impacts to influence leadership and guide regional business strategy.
Qualifications
Minimum Qualifications: - 2+ years of experience in operations, investigations, or risk strategy related to fraud, abuse, or cybercrime. - Strategic Decision-Making: Proven ability to act as a regional owner, demonstrating a strong understanding of market dynamics and the ability to autonomously make high-stakes decisions on risk thresholds and strategy launches. - Strong Data Extraction & Analytics: Must have the capacity to draw actionable insights from complex datasets; proficiency in SQL is required. - AI & Model Literacy: Proven ability to interpret machine learning model performance metrics (e.g., precision, recall, and data drift signals) and translate them into operational adjustments. - Ability to understand opposing points of view on highly complex issues and strong ability to gather information from various online sources and community groups. Preferred Qualifications: - Proficiency in Python or equivalent programming languages for advanced data manipulation and automation. - Prior law enforcement, trust & safety policy, or prosecution experience is a strong plus.
Job Information
[For Pay Transparency]Compensation Description (Annually)
The base salary range for this position in the selected city is $88920 - $159600 annually.
Compensation may vary outside of this range depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the Total Package that is provided to compensate and recognize employees for their work, and this role may be eligible for additional discretionary bonuses/incentives, and restricted stock units.
Benefits may vary depending on the nature of employment and the country work location. Employees have day one access to medical, dental, and vision insurance, a 401(k) savings plan with company match, paid parental leave, short-term and long-term disability coverage, life insurance, wellbeing benefits, among others. Employees also receive 10 paid holidays per year, 10 paid sick days per year and 17 days of Paid Personal Time (prorated upon hire with increasing accruals by tenure).
The Company reserves the right to modify or change these benefits programs at any time, with or without notice.
For Los Angeles County (unincorporated) Candidates:
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws including the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. Our company believes that criminal history may have a direct, adverse and negative relationship on the following job duties, potentially resulting in the withdrawal of the conditional offer of employment:
1. Interacting and occasionally having unsupervised contact with internal/external clients and/or colleagues;
2. Appropriately handling and managing confidential information including proprietary and trade secret information and access to information technology systems; and
3. Exercising sound judgment.
About TikTok
TikTok is the leading destination for short-form mobile video. At TikTok, our mission is to inspire creativity and bring joy. TikTok's global headquarters are in Los Angeles and Singapore, and we also have offices in New York City, London, Dublin, Paris, Berlin, Dubai, Jakarta, Seoul, and Tokyo.
Why Join Us
Inspiring creativity is at the core of TikTok's mission. Our innovative product is built to help people authentically express themselves, discover and connect - and our global, diverse teams make that possible. Together, we create value for our communities, inspire creativity and bring joy - a mission we work towards every day.
We strive to do great things with great people. We lead with curiosity, humility, and a desire to make impact in a rapidly growing tech company. Every challenge is an opportunity to learn and innovate as one team. We're resilient and embrace challenges as they come. By constantly iterating and fostering an "Always Day 1" mindset, we achieve meaningful breakthroughs for ourselves, our company, and our users. When we create and grow together, the possibilities are limitless. Join us.
Diversity & Inclusion
TikTok is committed to creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. Our platform connects people from across the globe and so does our workplace. At TikTok, our mission is to inspire creativity and bring joy. To achieve that goal, we are committed to celebrating our diverse voices and to creating an environment that reflects the many communities we reach. We are passionate about this and hope you are too.
TikTok Accommodation
TikTok is committed to providing reasonable accommodations in our recruitment processes for candidates with disabilities, pregnancy, sincerely held religious beliefs or other reasons protected by applicable laws. If you need assistance or a reasonable accommodation, please reach out to us at

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