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Ai Risk Jobs in Renton, WA (NOW HIRING)

Nscale

Cyber Risk Lead

Seattle, WA · On-site

$180 - $210/hr

Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI ... You'll own the cyber risk register, risk treatment, and remediation governance, partnering with ...

McKinstry

Senior Manager, Security Engineering

Seattle, WA · On-site

$130K - $178K/yr

... AI agent risk evaluations across the organization. • Sit on McKinstry's Security, Legal, and Governance committees for AI Security and deliver regular security engineering updates to the C-suite ...

Varonis

Technical Account Manager

Seattle, WA · Remote

TAMs are accountable for translating Varonis capabilities into reduced risk, controlled access, and safe AI adoption across customer environments. To be a successful Technical Account Manager you ...

McKinstry

Senior Manager, Security Engineering

Seattle, WA · Hybrid

$130K - $178K/yr

Manage and develop the AI Security Engineer, directing AI/ML security assessments, MCP server security reviews, and AI agent risk evaluations across the organization. Sit on McKinstry's Security ...

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Ai Risk information

See Renton, WA salary details

$16

$34

$83

How much do ai risk jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for ai risk in Renton, WA is $34.12, according to ZipRecruiter salary data. Most workers in this role earn between $21.92 and $43.51 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 Renton, WA look for?

The top searched job categories for Ai Risk jobs in Renton, WA are:

What cities near Renton, WA are hiring for Ai Risk jobs?

Cities near Renton, WA with the most Ai Risk job openings:

Ai Risk jobs near you
Infographic showing various Ai Risk job openings in Renton, WA as of August 2026, with employment types broken down into 76% Full Time, 20% Part Time, and 4% Contract. Highlights an 69% Physical, 4% Hybrid, and 27% Remote job distribution, with an average salary of $70,976 per year, or $34.1 per hour.

Principal Forward Deployed Engineer

Atlassian Inc.

Seattle, WA • On-site

Other

Posted 13 days ago

Job description

Overview
Working at Atlassian
Atlassians can choose where they work - whether in an office, from home, or a combination of the two. That way, Atlassians have more control over supporting their family, personal goals, and other priorities. We can hire people in any country where we have a legal entity.
Your future team
As a Principal Forward Deployed Engineer (FDE) at Atlassian, you'll be at the forefront of applied AI, working directly with customers and cross-functional teams to deliver innovative, AI-powered solutions. The FDE team partners with top organizations across industries, helping them leverage Atlassian's AI capabilities to solve complex, real-world problems. You'll collaborate with product, engineering, and design, rapidly growing your technical and domain expertise while making a tangible impact on business outcomes. This is a high-visibility, high-impact role for those who thrive in fast-paced, ambiguous environments and are passionate about shaping the future of AI-powered teamwork.
Responsibilities
What you'll do
As a Principal Forward Deployed Engineer, you will:
  • Lead the design, development, and deployment of AI/ML-powered solutions tailored to customer needs.
  • Architect and implement robust application integrations using Python, JavaScript, or similar languages, with a focus on APIs, microservices, and enterprise-scale systems.
  • Drive data-driven solution development by analyzing complex datasets to extract insights and inform product direction.
  • Champion the adoption of AI-augmented workflow automation within customer environments, maximizing business value and operational efficiency.
  • Oversee the end-to-end deployment of AI solutions into production, ensuring continuous evaluation, monitoring, and improvement.
  • Navigate risk and compliance requirements, including AI risk assessment, data privacy (GDPR), and regulatory frameworks.
  • Mentor and guide junior engineers, fostering a culture of innovation, collaboration, and continuous learning.
  • Communicate complex technical concepts clearly to both technical and non-technical stakeholders, creating concise artifacts for peers, partners, and leadership.
  • Align technical solutions with business objectives, setting a clear vision for technological progress and measurable results.

Compensation
At Atlassian, we strive to design equitable, explainable, and competitive compensation programs. We follow consistent hiring practices and account for each candidate's skills, knowledge, and experience when setting base pay within the range.
Please visit go.atlassian.com/payzones for more information on which locations are included in each of our geographic pay zones. However, please confirm the zone for your specific location with your recruiter.
This role may also be eligible for benefits, bonuses, commissions, and equity.
Pay Ranges
In The United States, we have three geographic pay zones. For this role, our current base pay ranges for new hires in each zone are:
Zone A: $209,700 - $273,775
Zone B: $188,730 - $246,398
Zone C: $174,051 - $227,233
Qualifications
On the first day, we'll expect you to have:
  • 10+ years of experience in backend software development.
  • 5+ years of experience delivering impactful AI/ML solutions in production environments, including experience as a founding or forward-deployed engineer in 0-to-1 product development.
  • Deep expertise in applied AI/ML, including generative AI, LLMs, and agent-based frameworks.
  • Proficiency in Python, JavaScript, or similar languages, and experience with APIs, microservices, and enterprise integration.
  • Demonstrated ability to solve complex, ambiguous problems and thrive in rapidly changing environments.
  • Strong communication and collaboration skills, with experience influencing cross-functional teams without formal authority.
  • Experience with AI risk assessment, data privacy, and compliance (e.g., GDPR).
  • Strategic and innovative thinking, with a track record of aligning technical solutions to business goals.

It's great, but not required, if you have:
  • Experience with Atlassian Intelligence, Rovo AI, or AI-powered Atlassian features.
  • Familiarity with regulated industries (e.g., finance, healthcare).
  • Experience deploying AI solutions to complex production systems at scale.
  • Prior experience mentoring or leading engineering teams.

Benefits & Perks
Atlassian offers a wide range of perks and benefits designed to support you, your family and to help you engage with your local community. Our offerings include health and wellbeing resources, paid volunteer days, and so much more. To learn more, visit go.atlassian.com/perksandbenefits
About Atlassian
At Atlassian, we're motivated by a common goal: to unleash the potential of every team. Our software products help teams all over the planet and our solutions are designed for all types of work. Team collaboration through our tools makes what may be impossible alone, possible together.
We believe that the unique contributions of all Atlassians create our success. To ensure that our products and culture continue to incorporate everyone's perspectives and experience, we never discriminate based on race, religion, national origin, gender identity or expression, sexual orientation, age, or marital, veteran, or disability status. All your information will be kept confidential according to EEO guidelines.
To provide you the best experience, we can support with accommodations or adjustments at any stage of the recruitment process. Simply inform our Recruitment team during your conversation with them.
To learn more about our culture and hiring process, visit go.atlassian.com/crh
In line with local law, identity verification (which may include use of biometric data) is a condition of employment with Atlassian for employment fraud purposes.

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