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Senior AI Platform Engineer - Security & Governance(m/w/x)
Defining AI system guardrails and PII handling for a global affiliate network. Practical AI risk and policy-to-engineering control experience required. Flexible four-day Flexi-Week, monthly remote allowance.
Requirements
- Strong software engineering fundamentals and production systems experience
- Practical experience in security, governance, privacy, compliance, or risk engineering
- Hands-on experience applying controls to AI/LLM systems
- Strong understanding of AI-specific risks
- Experience translating policy/risk to engineering controls
- Good understanding of making AI systems observable, auditable, safer
- Ability to work effectively with diverse stakeholders
- Good practical experience with Python and/or JavaScript/TypeScript
- Comfortable working across platform capability lifecycle
- Good understanding of information security and secure design
- Comfortable applying unit testing, CI/CD
- Comfortable working through ambiguity and shaping standards
- Strong judgment and pragmatism for safety improvements
Tasks
- Define and improve guardrails for AI systems
- Shape privacy and PII handling practices
- Contribute to provider and model guidance
- Translate policy and governance needs into platform patterns
- Define production-ready expectations for AI systems
- Develop readiness checks and governance mechanisms
- Enhance logging and observability practices
- Partner with Security, Legal, and Architecture teams
- Support teams in understanding AI risks
- Write clear documentation and guidance
- Promote strong engineering practices
- Mentor team members in AI safety and governance
- Design guardrails for AI and LLM systems
- Implement AI governance automation
- Evaluate third-party AI providers
- Apply privacy-by-design patterns
- Turn repeated risk questions into standards
- Communicate trade-offs clearly
- Identify and mitigate real-world AI risks
- Collaborate across multiple teams
- Create actionable guidance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JavaScript
- TypeScript
- AI
- LLM
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
More Vacation Days
- Variety of paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health, vision, and dental insurance
Ergonomic Workplace
- Remote working furniture package
Corporate Discounts
- Peer-to-peer voucher program
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Senior AI Platform Engineer - Security & Governance(m/w/x)
Defining AI system guardrails and PII handling for a global affiliate network. Practical AI risk and policy-to-engineering control experience required. Flexible four-day Flexi-Week, monthly remote allowance.
Requirements
- Strong software engineering fundamentals and production systems experience
- Practical experience in security, governance, privacy, compliance, or risk engineering
- Hands-on experience applying controls to AI/LLM systems
- Strong understanding of AI-specific risks
- Experience translating policy/risk to engineering controls
- Good understanding of making AI systems observable, auditable, safer
- Ability to work effectively with diverse stakeholders
- Good practical experience with Python and/or JavaScript/TypeScript
- Comfortable working across platform capability lifecycle
- Good understanding of information security and secure design
- Comfortable applying unit testing, CI/CD
- Comfortable working through ambiguity and shaping standards
- Strong judgment and pragmatism for safety improvements
Tasks
- Define and improve guardrails for AI systems
- Shape privacy and PII handling practices
- Contribute to provider and model guidance
- Translate policy and governance needs into platform patterns
- Define production-ready expectations for AI systems
- Develop readiness checks and governance mechanisms
- Enhance logging and observability practices
- Partner with Security, Legal, and Architecture teams
- Support teams in understanding AI risks
- Write clear documentation and guidance
- Promote strong engineering practices
- Mentor team members in AI safety and governance
- Design guardrails for AI and LLM systems
- Implement AI governance automation
- Evaluate third-party AI providers
- Apply privacy-by-design patterns
- Turn repeated risk questions into standards
- Communicate trade-offs clearly
- Identify and mitigate real-world AI risks
- Collaborate across multiple teams
- Create actionable guidance
Work Experience
- approx. 4 - 6 years
Education
- Bachelor's degreeOR
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- JavaScript
- TypeScript
- AI
- LLM
Benefits
Flexible Working
- Flexible four-day Flexi-Week
- Remote workspace setup support
- Flexi-Office
- Hybrid/remote work possibilities
More Vacation Days
- Variety of paid special leaves
Additional Allowances
- Monthly remote working allowance
- Meal vouchers
Healthcare & Fitness
- Health, vision, and dental insurance
Ergonomic Workplace
- Remote working furniture package
Corporate Discounts
- Peer-to-peer voucher program
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Awin
Industry
Marketing
Description
Das Unternehmen Awin ist stolz auf eine dynamische, soziale und inklusive Kultur und strebt danach, das weltweit führende offene Partner-Ökosystem aufzubauen.
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