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Ai Risk Jobs in Renton, WA (NOW HIRING)

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

... risk, such as AI-powered code review and PR automation • Focus on lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems ...

Senior Manager, Security Engineering

Seattle, WA · Hybrid

$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 ...

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 ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

Senior Manager, Security Engineering

Seattle, WA · 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 ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

Senior Manager, Security Engineering

Seattle, WA · Hybrid

$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 ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

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 ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

Sr. Software Engineer (Platform Team)

Redmond, WA · On-site

$137K - $180K/yr

... risk, such as advanced AI-powered code review, PR automation, and safety guardrails • Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering ...

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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 Jun 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 are popular job titles related to Ai Risk jobs in Renton, WA? For Ai Risk jobs in Renton, WA, the most frequently searched job titles are:
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 June 2026, with employment types broken down into 1% As Needed, 86% Full Time, 11% Part Time, and 2% Contract. Highlights an 62% Physical, 4% Hybrid, and 34% Remote job distribution, with an average salary of $70,976 per year, or $34.1 per hour.
Sr. Software Engineer (Platform Team)

Sr. Software Engineer (Platform Team)

SpaceX

Redmond, WA • On-site

$137K - $180K/yr

Full-time

Posted 20 hours ago


SpaceX rating

8.7

Company rating: 8.7 out of 10

Based on 144 frontline employees who took The Breakroom Quiz

13th of 60 rated aerospace companies


Job description

Job Summary:
SpaceX was founded under the belief that a future where humanity is out exploring the stars is fundamentally more exciting than one where we are not. The Sr. Software Engineer for SpaceX's AI platform will lead the design and implementation of secure, scalable AI platforms and proxy systems that empower various teams at SpaceX to effectively harness AI capabilities.
Responsibilities:
• Lead the design, architecture, and implementation of secure, scalable AI platforms and proxy systems used company-wide
• Own complex platform initiatives end-to-end, including technical strategy, implementation, testing, deployment, and long-term evolution
• Drive onboarding of new frontier models, expansion of compute resources, and optimization of proxy systems for performance, security, logging, and control
• Champion adoption across SpaceX by mentoring engineers, communicating value, building shared products/prompts/skills/infrastructure, and providing hands-on support
• Act as an entrepreneurial force to identify high-value opportunities and deliver solutions that allow users to rapidly convert problems and ideas into tested software, deployed applications, and trained models on managed, reliable compute
• Develop and scale tools that mitigate business risk, such as advanced AI-powered code review, PR automation, and safety guardrails
• Define best practices for lean, effective, and secure applied AI that maximizes conversion of engineering expertise into automation and reliable data systems
• Collaborate with and influence cross-functional stakeholders, including ML researchers, security, and operations teams
Qualifications:
Required:
• Bachelor’s degree in computer science, computer engineering, or other engineering discipline and 5+ years of professional experience building production software; OR 7+ years of professional experience building production software in lieu of a degree
• Experience developing and operating production platforms (AI/ML infrastructure, developer platforms, or large-scale backend systems)
Preferred:
• Proven success building and scaling internal AI gateways, secure proxy systems, or MLOps platforms in a fast-paced environment
• Deep hands-on experience with Docker, Kubernetes, security architecture, and integrations across multiple cloud and frontier model providers
• Strong background in model onboarding, compute orchestration, observability, and infrastructure for high-volume AI usage
• Demonstrated ability to enable and mentor others through tools, documentation, training, and direct partnership
• Entrepreneurial track record of identifying opportunities and delivering outsized impact
• Proficiency in Python and strong experience with additional languages (Go, Java, TypeScript, Rust, etc.)
• Experience with infrastructure-as-code, CI/CD, and building highly reliable distributed systems
• Passion for AI risk mitigation, developer productivity, and turning complex engineering challenges into simple, scalable AI-powered outcomes
Company:
SpaceX develops and operates rockets, satellite networks, and AI infrastructure including launch, connectivity, and cloud services. Founded in 2002, the company is headquartered in Hawthorne, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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