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Ai Risk Jobs in Renton, WA (NOW HIRING)

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 ...

Senior Manager, Security Engineering

Seattle, WA ยท On-site

$130K - $178K/yr

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

Senior Manager, Security Engineering

Seattle, WA ยท On-site

$130K - $178K/yr

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

Senior Manager, Security Engineering

Seattle, WA ยท 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 ...

Senior Manager, Security Engineering

Seattle, WA ยท On-site

$130K - $178K/yr

... AI Security, with regular C-suite briefings on program status and risk posture. This role is ideal for a seasoned security engineer or architect who is ready to step into formal people leadership ...

You build and govern AI-assisted workflows that carry much of the operational load, and you develop ... Own the fraud risk strategy and the end-to-end defense architecture across the payments stack ...

Showing results 21-40

Ai Risk information

See Renton, WA salary details

$16

$34

$83

How much do ai risk jobs pay per hour?

As of Sep 13, 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:

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.

Senior Principal Forward Deployed Engineer

Seattle, WA โ€ข On-site, Remote

Atlassian
Computer and Computer Peripheral Equipment and Software Wholesalersย โ€ขย 501 - 1,000 employees

$142K - $196K/yr

Full-time

Medical

Re-posted 9 days ago


Job description

Working at Atlassian

Atlassians have flexibility in 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. Interviews and onboarding are conducted virtually, as part of being a distributed-first company.

Your future team

As a Senior Principal Forward Deployed Engineer (FDE) at Atlassian, youll 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 Atlassians AI capabilities to solve complex, real-world problems. Youll 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.


What youll do

As a Senior Principal Forward Deployed Engineer, you will:

  • Code contributes across the entire Atlassian product suite, providing exceptionally broad engineering exposure

  • Lead the design, development, and deployment of AI/ML-powered solutions using Rovo 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.

  • Influence product direction by building with the customers, and realising the last mile papercuts they go through.

  • 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 Senior FDEs and 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.


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.


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: $243,900 - $318,425


Zone B: $219,510 - $286,583


Zone C: $202,437 - $264,293


On the first day, we'll expect you to have:

  • 15+ years of experience in backend software development, with at least 5 years in a principal/staff-level role.

  • 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.

Our perks & benefits

Atlassian offers a variety of perks and benefits to support you, your family and to help you engage with your local community. Our offerings include health coverage, paid volunteer days, wellness resources, and so much more. Visit go.atlassian.com/perksandbenefits to learn more.

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.