Google

Agentic Safety and Ecosystem Architect, Trust and Safety

Google$141K — $206K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
  • Experience with ML/AI based programs in Trust and Safety.
  • Master's degree or PhD in a relevant field preferred.
  • Experience in agentic architecture and data permissions is a plus.
  • Understanding of AI/ML system safety and integrity.

Responsibilities

  • Develop rules of engagement for autonomous agents on Android to ensure safety compliance.
  • Implement least-privilege models to protect sensitive user data and permissions.
  • Collaborate with the Product team for runtime monitoring of agent behavior.
  • Create self-testing kits for developers to ensure safety features in third-party agents.

Benefits

  • Health, dental, vision, life, and disability insurance.
  • 401(k) retirement benefits with company match.
  • 20 days of vacation per year, accruing at 6.15 hours per pay period for first five years.
  • 40 hours of sick time/year, increased to 69 hours/year for Seattle.
  • 28-30 weeks of maternity leave and 18 weeks of baby bonding leave.
  • 13 paid holidays per year.
Full Job Description
info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Austin, TX, USA.

Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 7 years of experience in data analytics, Trust and Safety, policy, cybersecurity, or related fields.
  • Experience with ML/AI based programs in Trust and Safety.

Preferred qualifications:
  • Master's degree or PhD in a relevant field.
  • Experience in agentic architecture and data permissions.
  • Experience in technical product design and AI systems.
  • Experience in program management.
  • Understanding of AI/ML system safety and integrity.


About the job

Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety.
As an Agentic Safety and Ecosystem Architect, you will design for the safety and integrity of autonomous AI agents across the Android platform. Your focus is to bridge the gap between technical agent capabilities and the real-world safety of billions of users. You will be responsible for identifying and mitigating the harms that arise when AI agents interact with the OS and third-party apps-ranging from system-level instability to the creation of harmful synthetic media. By developing detection nets and enforcement frameworks, you will ensure that agentic features do not become vectors for abuse.At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across Google to deliver bold solutions in abuse areas such as malware, spam and account hijacking. A team of Analysts, Policy Specialists, Engineers, and Program Managers, we work to reduce risk and fight abuse across all of Google's products, protecting our users, advertisers, and publishers across the globe in over 40 languages.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $141000 - $206000 (USD) 15% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities
  • Develop the rules of engagement for autonomous agents on Android, ensuring that multi-step plans are audited for safety before execution.
  • Implement strict "least-privilege" models so agents cannot escalate system permissions or access sensitive user data without explicit, context-aware consent.
  • Partner with the Product team to build runtime monitoring that identifies "agentic drift," recursive loops, or adversarial attempts to hijack agent reasoning.
  • Create self-testing kits for the Android developer community to ensure that third-party agents are built with brakes and kill-switches.


About Google

Google is a multinational technology company that specializes in Internet-related services and products. These include online advertising technologies, search engine, cloud computing, software, and hardware. Google was founded in 1998 by Larry Page and Sergey Brin while they were Ph.D. students at Stanford University. The company has grown tremendously since then and has become one of the most valuable companies in the world. Google's mission is to organize the world's information and make it universally accessible and useful.
Learn more about Google
Size
156,500 employees
Market Cap
$1,115.4 billion
Industry
Net Income
$40.2 billion
Founded
1998
5 Year Trend
+23.3%
Revenue
$182.5 billion
NASDAQ

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