Principal, AI Security

Jobtailor

Illinois

On-site

USD 180,000 - 260,000

Full time

4 days ago

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Job summary

Itron is seeking a senior AI Security Architect to define and lead enterprise AI security strategy, architecture, and multi-year roadmaps. You will design controls across the AI lifecycle and establish guardrails for generative AI platforms, APIs, plugins, and automation workflows.

You will collaborate with engineering and product teams to embed secure-by-design principles, conduct threat modeling, risk assessments, and security reviews, and guide governance on privacy, transparency, and ethics

Qualifications

7+ years of experience in cybersecurity, security architecture, cloud security, identity and access management, application security, or related technical discipline.
2+ years of experience working with AI-enabled systems, ML environments, automation platforms, or generative AI technologies.
Hands-on experience securing agentic systems, AI orchestration platforms, non-human identity solutions, model integrations, and automated workflows.
Experience implementing security controls for cloud platforms, APIs, identity services, secrets management, data protection, logging, monitoring, and third-party integrations.
Proven experience in threat modeling, architecture reviews, security assessments, control validations, and cyber risk evaluations.
Background in secure software development, DevSecOps, CI/CD security, container security, software supply chain security, or product security reviews.

Responsibilities

Define and lead AI security strategy, architecture, policies, standards, and multi-year roadmap.
Design and implement security controls across the AI and agent lifecycle.
Establish scalable guardrails for generative AI platforms, model integrations, APIs, plugins, automation workflows, and agentic ecosystems.
Develop governance controls for privacy, data protection, transparency, explainability, accountability, ethical AI use, and bias mitigation.
Lead AI-focused threat modeling, adversarial testing, security reviews, and risk assessments.
Evaluate and mitigate AI threats including prompt injection, tool misuse, privilege escalation, and AI supply chain risks.
Partner with engineering, product, and architecture teams to embed secure-by-design principles.
Design and pilot AI-assisted cybersecurity capabilities for detection engineering, threat hunting, vulnerability management, and alert triage.
Define security logging, telemetry, monitoring, alerting, and reporting requirements.
Develop and operate AI Security Posture Management capabilities.
Conduct security assessments of AI vendors, platforms, and service providers.
Provide technical leadership for AI incidents, governance decisions, policy exceptions, and risk acceptance reviews.
Author technical standards, reference architectures, implementation guidance, and executive communications.
Mentor engineers, architects, and security practitioners.
Stay current on AI technologies, regulations, attack techniques, and security best practices.

Skills

AI Security Strategy Development

Threat Modeling and Risk Assessment

Security Controls Implementation

AI Governance and Compliance

Cloud Security and Identity Management

Education

Bachelor's degree in Computer Science or related field

Tools

Microsoft Foundry

Amazon Bedrock

GitHub Copilot

Vertex AI

Databricks AI

ChatGPT Enterprise

Model Context Protocol (MCP)

AI Gateway Technologies

Automation Platforms

AI Orchestration Platforms

Job description

Define and lead Itron's enterprise AI security strategy, architecture, policies, standards, reference architectures, and multi-year roadmap
Design and implement security controls across the AI and agent lifecycle
Establish scalable security guardrails for generative AI platforms, model integrations, APIs, plugins, automation workflows, AI assistants, and agentic ecosystems
Develop and maintain governance controls for privacy, confidentiality, data protection, transparency, explainability, accountability, ethical AI use, and bias mitigation
Lead AI-focused threat modeling, adversarial testing, security reviews, and risk assessments
Evaluate and mitigate emerging AI threats including prompt injection, tool misuse, privilege escalation, AI supply chain compromise, context poisoning, insecure agent interactions, and rogue agent behavior
Partner with engineering, product, and architecture teams to embed secure-by-design principles into AI-enabled systems
Design and pilot AI-assisted cybersecurity capabilities for detection engineering, threat hunting, vulnerability management, alert triage, evidence collection, and operational effectiveness
Define security logging, telemetry, monitoring, alerting, and reporting requirements
Develop and operate AI Security Posture Management capabilities
Conduct security assessments of AI vendors, platforms, and service providers
Provide technical leadership for AI-related incidents, investigations, governance decisions, policy exceptions, and risk acceptance reviews
Author technical standards, reference architectures, implementation guidance, and executive communications
Mentor engineers, architects, and security practitioners
Stay current on AI technologies, regulations, attack techniques, and security best practices

Requirements

7+ years of experience in cybersecurity, security architecture, cloud security, identity and access management, application security, product security, or a related technical discipline
2+ years of experience working with AI-enabled systems, machine learning environments, automation platforms, advanced analytics solutions, or generative AI technologies
Demonstrated hands‑on experience securing or building agentic systems, AI orchestration platforms, non‑human identity solutions, model integrations, retrieval pipelines, and automated workflows
Experience implementing security controls for cloud platforms, APIs, identity services, secrets management, data protection, logging, monitoring, and third‑party integrations
Proven experience conducting threat modeling, architecture reviews, security assessments, control validations, and cyber risk evaluations
Strong understanding of authentication, authorization, least privilege, secure software design principles, and modern security architectures
Ability to analyze complex AI and cybersecurity risks and communicate practical recommendations to both technical and business leaders
Exceptional written, verbal, facilitation, and stakeholder‑management skills
Demonstrated ability to operate effectively across diverse teams while driving accountability, collaboration, and execution in a fast‑changing technology environment
Bachelor's degree in Computer Science, Cybersecurity, Information Systems, Engineering, or a related field, or equivalent combination of education and experience
Experience securing large‑scale deployments of frontier AI models through direct provider APIs, Microsoft Foundry, Amazon Bedrock, model gateways, or comparable enterprise AI platforms
Hands‑on experience with Microsoft Foundry Agent Service, Model Context Protocol (MCP) implementations, AI gateway technologies, GitHub Copilot, Microsoft 365 Copilot, Vertex AI, Databricks AI capabilities, ChatGPT Enterprise, or similar platforms
Familiarity with NIST AI RMF, OWASP Top 10 for LLM Applications, OWASP Top 10 for Agentic Applications, MITRE ATLAS, ISO/IEC 42001, and AI regulatory readiness initiatives
Experience performing AI red teaming, adversarial testing, prompt injection testing, abuse‑case development, or AI deployment readiness assessments
Background in secure software development, DevSecOps, CI/CD security, container security, software supply chain security, or product security architecture reviews
Experience operating in regulated industries or environments aligned to ISO 27001, SOC 2, NIST, GDPR, CMMC, critical infrastructure, utilities, or similar compliance frameworks
Professional certifications such as CISSP, CCSP, CSSLP, Microsoft Security certifications, cloud security certifications, AI governance certifications, AI security certifications, or equivalent credentials
Travel less than 25% on average

Core Competencies

Demonstrates expertise in defining and leading enterprise AI security strategies, implementing security controls, and conducting threat modeling and risk assessments. Proficient in securing AI-enabled systems and ensuring compliance with industry standards and regulations.

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