Senior Security Engineer, AI Infrastructure

ImmunityBio, Inc.•El Segundo, CA

2d•Hybrid

About The Position

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.

Requirements

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.
Knowledge of and proficiency in applying NIST CSF, NIST RMF, NIST AI RMF, ISO 27001, and SOC 2 Type 2 controls to technical security programs.
Strong knowledge and background in Identity and Access Management (IAM), secrets management, and securing service-to-service communication in distributed systems.
Excellent interpersonal skills and ability to work effectively within cross-functional team environments.
Excellent technical writing, communication, and organizational skills, including the ability to produce audit-ready security documentation.
Demonstrated ability to build security tooling and automation, and to work in close partnership with infrastructure and SRE teams.
Strong knowledge of data protection practices relevant to AI workloads, including DLP, encryption, masking, and access pattern monitoring.
Strong leadership skills with the ability to influence functional groups on security design, feasibility, and risk tradeoffs.

Nice To Haves

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.
Familiarity with agentic AI systems — including agents with tools, workflow engines, or multi-step planners — and their associated security risk surface is a strong plus.

Responsibilities

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.

Benefits

Medical, Dental and Vision Plan Options
Health and Financial Wellness Programs
Employer Assistance Program (EAP)
Company Paid and Voluntary Life/AD&D, Short-Term and Long-Term Disability
Healthcare and Dependent Care Flexible Spending Accounts
401(k) Retirement Plan with Company Match
529 Education Savings Program
Voluntary Legal Services, Identity Theft Protection, Pet Insurance and Employee Discounts, Rewards and Perks
Paid Time Off (PTO) includes: 11 Holidays
Exempt Employees are eligible for Unlimited PTO
Non-Exempt Employees are eligible for 10 Vacation Days, 56 Hours of Health Pay, 2 Personal Days and 1 Cultural Day