Senior Security Engineer, AI Infrastructure

About this role

Company Overview ImmunityBio is a vertically integrated commercial stage biotechnology company developing next-generation therapies that bolster the natural immune system to defeat cancers and infectious diseases. The Company’s range of immunotherapy and cell therapy platforms, alone and together, act to drive and sustain an immune response with the goal of creating durable and safe protection against disease. Designated an FDA Breakthrough Therapy, ANKTIVA is the first FDA-approved immunotherapy for non-muscle invasive bladder cancer CIS that activates NK cells, T cells, and memory T cells for a long-duration response. The Company is applying its science and platforms to treating cancers, including the development of potential cancer vaccines, as well as developing immunotherapies and cell therapies that we believe sharply reduce or eliminate the need for standard high-dose chemotherapy. These platforms and their associated product candidates are designed to be more effective, accessible, and easily administered than current standards of care in oncology and infectious diseases.

Why ImmunityBio? • ImmunityBio is developing cutting-edge technology with the goal to transform the lives of patients with cancer and develop next-generation therapies and vaccines that complement, harness and amplify the immune system to defeat cancers and infectious diseases. • Opportunity to join a publicly traded biopharmaceutical company with headquarters in Southern California. • Work with a collaborative team with the ability to work across different areas of the company. • Ability to join a growing company with professional development opportunities.

Position Summary The Senior Security Engineer- AI Infrastructure is a systems-level role integrating security engineering, identity management, and infrastructure hardening across AI and agentic platforms. The role involves close interaction with platform, DevOps, site reliability, and AI/ML engineering functions. The Senior AI Infrastructure Security Engineer will serve as the Subject Matter Expert (SME) for securing AI workloads and will work with cross-functional teams to ensure successful implementation of security architecture across the full AI stack — from Kubernetes and cloud services through AI agents and their tools. This role will support senior engineering and security leadership in driving compliance with relevant security and AI governance frameworks, preparing and adhering to project schedules, and providing technical security support for AI platform operations, identity and access control, logging, and runtime protections for models, agents, and data.

Essential Functions • Serve as Subject Matter Expert for the design, maintenance, and implementation of security architectures for AI infrastructure, including model hosting environments, model registries, feature stores, vector databases, and agent orchestration platforms. • Engineer robust Identity and Access Management (IAM) for AI systems, including RBAC/ABAC policies for models, agents, tools, and data stores; secrets management; and key and token lifecycle management (creation, rotation, revocation) for AI services and agents. • Define and implement guardrails and isolation strategies for agentic workflows, including sandboxing, least privilege tool access, network segmentation, and blast radius reduction. • Build and integrate logging and observability pipelines for AI systems — covering prompts, tool calls, model outputs, agent actions, and data access paths — into existing detection and incident response infrastructure. • Conduct risk assessments and threat modeling for AI platforms and integrations, including supply chain risks around models, datasets, and third-party AI services. • Partner with DevOps and Platform Engineering teams to embed AI security controls into CI/CD pipelines and infrastructure-as-code, including secure deployment patterns, policy-as-code for AI resources, and pre-production security checks. • Lead and participate in AI-related incident response and forensics, including investigations into model misuse, compromised agents, or suspicious data flows. • Consult and collaborate with SMEs across Security, Platform Engineering, Data Science, Compliance, and Legal to ensure alignment of security controls with business and regulatory requirements. • Ensure compliance with relevant security and AI governance frameworks and regulations — including NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, SOC 2 Type 2, and applicable data protection regulations — by delivering technical controls and audit-ready evidence. • Lead creation, modification, and maintenance of security documentation, including architecture decision records, threat models, runbooks, and SOPs, maintained in a compliant and audit-ready state. • Provide technical mentoring and oversight to less experienced engineers responding to and troubleshooting AI platform security issues. • Perform ad-hoc and cross-functional projects assigned to support business needs and provide developmental opportunities.

Education & Experience • Bachelor's degree in Computer Science, Information Security, Engineering, or a related field with 7+ years of relevant experience is required. • 5+ years of experience in security engineering, cloud security, or platform security is required. • 3+ years of hands-on experience with container orchestration and modern infrastructure stacks (e.g., Kubernetes-based platforms, microservices, or serverless) and their security hardening is required. • Experience securing AI/ML or LLM-based systems from an infrastructure or security perspective (e.g., model endpoints, registries, or AI gateways) is preferred • Experience working within a regulated industry or organization subject to frameworks such as NIST AI RMF, SOC 2 Type 2, ISO 27001, or equivalent is preferred.

Knowledge, Skills, & Abilities • Knowledge of and proficiency in applying NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, and SOC 2 Type 2

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