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AI Developer – Principal

Blue Shield California

Salary not specified
Aug 26, 2025
Long Beach, CA, USA • Rancho Cordova, CA, USA • Galt, CA, USA • Los Angeles, CA, US • Oakland, CA, USA • El Dorado Hills, CA, USA • San Diego, CA, USA
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The Information Security, Risk, and ISM team is undergoing a transformative shift—from traditional, manual operations to a fully autonomous, agentic AI-driven model. As an AI Developer, you will report to the Sr. Director of Information Security and play a pivotal role in designing and deploying intelligent agents that automate and enhance security, risk, and compliance functions across the enterprise.

Requirements

  • 5+ years of experience in AI/ML development, with a focus on agentic systems or autonomous workflows.
  • Proficiency in Python, TensorFlow/PyTorch, and LLM frameworks (e.g., OpenAI, Anthropic, Google, Meta, etc.).
  • Experience integrating AI with cloud platforms (full gitops), enterprise security and IT service management tools.
  • Experience building AI agents for security operations or GRC automation.
  • Familiarity with vector databases, RAG pipelines, and semantic search.
  • Understanding of cybersecurity principles, risk frameworks (e.g., NIST 800-53 & AI 100-1, OWASP GenAI Security Project, ISO 27001, etc.), and compliance standards.

Responsibilities

  • Design and implement autonomous AI agents to perform core InfoSec, Risk, and ISM functions.
  • Integrate AI models with existing platforms (SIEM, GRC, IAM, cloud infrastructure).
  • Build scalable, reusable AI components and orchestration frameworks.
  • Develop AI-driven mechanisms for continuous risk assessment and predictive threat modeling.
  • Enable real-time decision support and automated incident response.
  • Apply LLMs and multi-agent systems to enhance security workflows.
  • Prototype and test novel AI approaches to improve operational resilience.

Other

  • Requires a college degree or equivalent experience and minimum 10 years of prior relevant experience.
  • Excellent communication, organizational, and analytical skills.
  • Background in healthcare technology or other regulated industries.
  • Partner with business units to identify opportunities for agentic AI adoption.
  • Support change management and enterprise readiness for AI integration.