First Hawaiian Bank

Information Security Engineer (AI & Data Privacy)

First Hawaiian Bank$89K — $151K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 2-3+ years of experience in cybersecurity with a focus on AI/ML security or data privacy
  • Hands-on experience with vendor risk assessments or privacy reviews
  • Knowledge of GenAI and LLM security risks (e.g., data leakage, model misuse)
  • Familiarity with AI security frameworks such as NIST AI RMF or OWASP LLM Top 10
  • Ability to communicate security concepts to non-technical audiences
  • Experience with privacy or compliance programs like CCPA/CPRA or SOC 2
  • Knowledge of the Microsoft security ecosystem (Azure, Defender, Sentinel)
  • Preferred certifications include CISSP, CIPP/US, or Security+

Responsibilities

  • Design and implement security for AI/ML systems and GenAI tools
  • Develop and maintain McKinstry's AI security framework
  • Conduct AI threat modeling and risk assessments
  • Establish guardrails for enterprise AI adoption and vendor onboarding
  • Review AI vendor Data Processing Agreements with Legal and Procurement
  • Monitor compliance with data handling and privacy obligations
  • Participate in AI-specific incident response planning
  • Educate teams on secure AI usage and privacy-by-design principles

Benefits

  • 401(k) with employer match and profit-sharing
  • Paid time off and holidays
  • Comprehensive medical, dental, and vision plans
  • Family formation benefits including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive health benefits
  • Learning and advancement opportunities through McKinstry University
  • Onsite gyms or reimbursement for remote worker fitness
Full Job Description
The Opportunity with McKinstry

McKinstry is actively integrating artificial intelligence across our business and client solutions-and we're looking for an Information Security Engineer to help ensure this adoption is secure, responsible, and defensible.

This role sits at the intersection of AI security, data privacy, and enterprise governance. You'll play a key role in securing AI systems, guiding AI tool adoption, and ensuring compliance with data protection agreements and privacy regulations as AI becomes embedded in how we operate.

You'll have the opportunity to shape how AI is adopted responsibly across a complex, real-world enterprise-working alongside security, legal, and engineering leaders to solve problems that truly matter. We value collaboration, integrity, and thoughtful risk-taking, and we're committed to building technology solutions that are secure, ethical, and future-ready.

This role is based in our Seattle, WA corporate office and follows a hybrid schedule with three days onsite.

What You'll Do

AI Security & Governance
  • Help design and implement security controls for AI/ML systems, GenAI tools, and LLM-based applications used across the enterprise
  • Support development and maintenance of McKinstry's AI security framework aligned with industry standards (e.g., NIST AI RMF, OWASP LLM Top 10)
  • Participate in AI threat modeling and risk assessments across data ingestion, model use, and API integrations
  • Help establish guardrails for enterprise AI adoption, including vendor onboarding and shadow AI detection


Privacy & Data Protection
  • Review and assess AI vendor Data Processing Agreements (DPAs) in partnership with Legal and Procurement
  • Support ongoing compliance with data handling, retention, and residency obligations
  • Assess AI tools against applicable privacy and compliance requirements (CCPA/CPRA, SOC 2, and similar frameworks)
  • Contribute to data classification and handling standards for AI training, fine-tuning, and inference


AI Rollout & Risk Management
  • Participate in security reviews for AI platforms and tools, including Microsoft Copilot and third-party AI services
  • Support AI risk assessments and vendor governance documentation for leadership visibility
  • Assist with AI-specific incident response planning and escalation scenarios
  • Monitor changes in AI vendor security posture, data use policies, and sub-processor disclosures


Collaboration & Enablement
  • Serve as a security partner to Legal, Compliance, IT, and Engineering teams on AI initiatives
  • Help educate technical and business teams on secure AI usage, data minimization, and privacy-by-design principles
  • Contribute to executive-ready reporting on AI security posture and program maturity


What You Need to Succeed at McKinstry
  • 2-3+ years of experience in cybersecurity, with exposure to AI/ML security, data privacy, or cloud security
  • Hands-on experience supporting vendor risk assessments, DPAs, or privacy reviews
  • Understanding of common GenAI and LLM security risks (e.g., data leakage, prompt injection, model misuse)
  • Familiarity with AI security frameworks such as NIST AI RMF, OWASP LLM Top 10, or similar
  • Ability to explain security and privacy concepts to non-technical stakeholders
  • Experience working with privacy or compliance programs (CCPA/CPRA, SOC 2, or related frameworks)
  • Familiarity with the Microsoft security and cloud ecosystem (Azure, Defender, Sentinel, Purview)
  • Preferred certifications include: CISSP, CIPP/US, CIPM, CCSP, AZ-500, SC-200, or Security+

PeopleFirst Benefits

When it comes to the basics, we have you covered:
  • Competitive pay
  • 401(k) with employer match and profit-sharing plan
  • Paid time off and holidays
  • Comprehensive medical, prescription, dental, and vision with low or zero deductible options and low out of pocket maximums

People come first at McKinstry, and we go beyond the basic benefits with:
  • Family formation benefits, including adoption and IVF assistance
  • Up to 16 weeks paid parental leave
  • Transgender inclusive benefits
  • Commuter benefits
  • Pet insurance
  • "Building Good" paid community service time
  • Learning and advancement opportunities via McKinstry University
  • McKinstry Moves onsite gyms or reimbursement for remote workers

See benefit plan documents for complete details.

If you're driven by our vision to build a thriving planet together, McKinstry is the place to build your career.

The pay range for this position is $89,010 - $151,300 per year; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A bonus may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. Base pay information is based on market location.

About First Hawaiian Bank

First Hawaiian Bank is a bank headquartered in Honolulu, Hawaii. The bank was founded in 1858 and is the oldest and largest bank in Hawaii. First Hawaiian Bank offers a range of banking services, including personal and business banking, wealth management, and investment services. The bank has over 50 branches throughout Hawaii, Guam, and Saipan. First Hawaiian Bank is a subsidiary of BNP Paribas, a French multinational bank and financial services company.
Learn more about First Hawaiian Bank
Size
2,000 employees
Market Cap
$3.2 billion
Industry
Net Income
$185.7 million
5 Year Trend
+1.2%
NASDAQ

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