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About the Role

Microsoft AI is building consumer health experiences, including Copilot Health, to provide AI-powered guidance. This role is for a senior individual contributor focused on privacy, compliance, and regulatory matters, ensuring products are built with privacy-by-design principles in a fast-evolving regulatory landscape. The position offers significant impact on responsible AI in health.

Responsibilities

Serve as the primary point of contact for privacy, compliance, and regulatory matters within the engineering team.
Ensure products are designed and built in a privacy-preserving way, embedding data minimization, purpose limitation, and privacy-by-design.
Translate complex health and data-protection regulations into concrete technical requirements, engineering guardrails, and automated controls.
Lead privacy and security design reviews and threat modeling for new features and models.
Design and build foundational privacy infrastructure, including data classification, access controls, consent management, audit logging, data lineage, and retention controls.
Evaluate and apply privacy-enhancing technologies to reduce user risk.
Build reusable libraries, patterns, and tooling to enable engineers to ship privacy-preserving features by default.
Raise the team’s privacy and compliance fluency through mentorship and clear standards.
Partner across legal, compliance, security, and product to balance user protections with product velocity.
Support audits, certifications, and regulator-facing evidence.
Stay ahead of emerging health-privacy regulation and industry practice, influencing roadmaps.

Requirements

Extensive professional software engineering experience building and operating production systems at scale, with significant depth in privacy, security, or data protection.
Strong programming skills in at least one major language (e.g., C#, Python, Go, Java, or similar) and a track record of shipping reliable backend and infrastructure systems.
Demonstrated ability to translate privacy and regulatory requirements (such as GDPR or HIPAA) into technical designs and enforceable controls.
Hands-on command of privacy and security fundamentals: privacy-by-design, data minimization, access-control models (RBAC/ABAC), encryption, audit logging, and data lifecycle management.
Experience conducting privacy and security reviews, threat modeling, and risk assessments.
Excellent cross-functional communication skills to influence stakeholders and explain trade-offs clearly.
Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Skills

Privacy engineering
Health technology
Applied AI
Privacy-preserving systems
Data minimization
Purpose limitation
Privacy-by-design
GDPR
HIPAA
EU AI Act
Technical requirements translation
Engineering guardrails
Automated controls
Privacy and security design reviews
Threat modeling
Risk assessment
Privacy infrastructure
Data classification
Policy-driven access controls
Consent and preference management
Audit logging
Data lineage
Retention and lifecycle controls
Privacy-enhancing technologies
Differential privacy
De-identification
Secure enclaves
Federated approaches
Reusable libraries
Patterns
Tooling
Mentorship
Clear standards
Cross-functional communication
Product velocity
Audits
Certifications
Regulator-facing evidence
Emerging regulation
Industry practice
C#, Python, Go, Java
Backend systems
Infrastructure systems
RBAC/ABAC
Encryption
Data lifecycle management
Health technology
Financial services
Government
Insurance
Health-data standards
HITRUST
ISO 27001/27701
NHS data governance
FHIR
Clinical data handling
Anonymization
Federated learning
AI/ML systems
Cloud platforms
Azure
Large-scale data systems
CIPP/E
CIPT

Location

United Kingdom

Work Type

Full-time

Experience Level

Senior individual contributor
Extensive professional software engineering experience

Education Level

Bachelor’s degree in Computer Science or a related field, or equivalent practical experience.

Salary/Compensations

£ 93,500.00 - £ 161,800.00 per year

Benefits

Certain roles may be eligible for benefits and other compensation.

About the Company

Microsoft AI (MAI) is building consumer health experiences - including Copilot Health - that bring trustworthy, AI-powered guidance to millions of people.
Health information is among the most sensitive data anyone shares, and the trust people place in us depends on getting privacy, security, and regulatory compliance right from the very first line of code.

Equal Opportunity

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances.
If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.