Key responsibilities
- Strategic leadership
- Define and drive an enterprise AI security strategy aligned to business objectives and risk posture.
- Translate complex technical risks and opportunities into clear business terms for executive stakeholders.
- Establish and champion responsibleAI governance policies and controls.
- Architecture and delivery
- Own the architecture and highlevel design of AIenabled security services; standardize cloud architectural patterns for scale resilience and cost efficiency.
- Secure the AI lifecycle (data models pipelines tooling) against adversarial threats such as data poisoning model theft prompt/indirect injection and evasion.
- Lead integration of AIdriven automation to enhance Day 0 (design) Day 1 (deployment) and Day 2 (operations) security.
- Crossfunctional influence
- Serve as the technical liaison across Product Engineering Cybersecurity and Operations; align roadmaps and priorities with measurable outcomes.
- Lead executivelevel technical discussions; provide status tradeoffs and escalation paths for programs and incidents.
- Operational excellence
- Institutionalize blameless postmortems design reviews and engineering best practices.
- Define security SLOs/SLIs for AI platforms; monitor report and drive continuous improvement.
Qualifications :
Basic Qualifications
Experience and leadership requirements
- 15 years in cybersecurity or adjacent engineering fields including 5 years applying AI/ML to security use cases and securing AI systems.
- Proven track record delivering security outcomes (e.g. reduced incident rates/MTTR improved SLO attainment risk/cost reductions).
- Demonstrated experience designing and implementing controls to protect AI systems and data from adversarial attacks.
Technical knowledge and skills
- Strong software engineering fundamentals and handson familiarity with cloud security architecture observability CI/CD and data privacy.
- AI security lifecycle expertise: model/data protection pipeline hardening monitoring/auditing and responsibleAI guardrails/filters.
- Working knowledge of cybersecurity frameworks and standards (e.g. NIST CSF ISO/IEC 27001) and AIspecific guidance (e.g. NIST AI RMF ISO/IEC 23894).
- Familiarity with modern security domains and tooling: cloud security endpoint detection identity secrets management vulnerability management and emerging AI security technologies.
Business and soft skills
- Strategic planning and portfolio execution in fastpaced matrixed environments.
- Exceptional communication and stakeholder management; able to brief executives and collaborate with Legal Compliance and Privacy.
- Talent builder who mentors recruits and retains top technical talent; fosters a culture of innovation accountability and continuous learning.
- Rigorous prioritization and decisionmaking under ambiguity and pressure.
Education and certifications
- Basic (choose one pathway):
- Bachelors in computer science Engineering Information Systems or related field 15 years relevant experience; or Masters in a related field with 12 years; or PhD in a related field with 9 years.
- Preferred:
- Advanced degree in Computer Science Artificial Intelligence Data Science or related discipline.
- Certifications: CISSP CISM CISA and GIAC (e.g. GCSA GDSA GCIA). AI/securityspecific credentials are a plus.
- Note: (ISC) is the certifying body for CISSP.
Preferred qualifications (rolespecific)
- Demonstrated ownership of AI governance responsibleAI practices and compliance with emerging AI regulations.
- Experience managing budgets and vendors; delivering AI initiatives with measurable business impact.
Hybrid work
- This is a hybrid role. Specific inoffice expectations (e.g. 23 days per week) will be confirmed by the hiring manager
Additional Information :
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race color religion sex national origin sexual orientation gender identity disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
Remote Work :
No
Employment Type :
Full-time