Find & Apply For Auditor Jobs in Long Beach, California

Internal IT Auditor, Senior Blue Shield of CA United States, California, Long Beach 3840 Kilroy Airport Way (Show on map) Oct 15, 2026 Your Role The Senior Internal IT Auditor leads and executes audit engagements, serving as a subject matter resource and ensuring high-quality audit delivery across technology and cybersecurity domains. Your Knowledge and Experience Requires a Bachelor's degree or High School Diploma/GED and 4 years of additional relevant experience in lieu of a degree

Requires a minimum of 5 years of prior relevant experience

Basic competence and knowledge with support from others of: Financial Accounting and Finance Concepts, Managerial Accounting, Regulatory, Legal and Economics, Quality Framework, Ethics and Fraud, Information Technology, Governance, Risk and Controls, Organizational Theory and Behavior

Working knowledge of AI tools, models, and platforms (e.g., generative AI, ML systems), including associated risks, controls, and governance consideration

Strong analytical and problem-solving skills

Typically, requires advanced knowledge of auditing typically obtained through advanced education combined with experience. May have practical knowledge of project management

Familiarity with frameworks such as COBIT, NIST, ISO, or HIPAA

Certified Information Systems Auditor (CISA), Advanced in AI Audit (AAIA), Certified Information Systems Security Professional (CISSP), Certified Internal Auditor (CIA) and/or Certified Secure Software Lifecycle Professional (CSSLP) desired

Experience in software development, including SDLC methodologies (Agile, DevOps, CI/CD) and modern engineering practices

Familiarity with secure coding practices, code management tools (e.g., Git-based repositories), and application security controls

Understanding of data governance and data protection principles, including privacy, confidentiality, regulatory compliance, and intellectual property management

Experience auditing or implementing AI governance frameworks (e.g., NIST AI RMF, internal AI governance programs)

Experience with AI/ML model risk management, including validation, bias detection, explainability, and monitoring

Familiarity with secure AI development practices and emerging AI risk domains (prompt injection, data poisoning, model leakage, etc.)

Experience in the management, governance, and control of Artificial Intelligence (AI) use

Experience in regulated environments (e.g., healthcare) Hybrid This role requires employees to be in-office based on our hybrid workplace model, balancing purposeful in-person collaboration with flexibility. For most teams, this means coming into the office two days each week. Employees living more than 50 miles from an office location will work with their manager to determine in-office time based on business need. Notify me of jobs like this