Agent Security

Agent Security Engineer Jobs

3 jobs found

1mo ago

Senior AI Security Engineer

Teleion Consulting Seattle, WA

Seattle, WA

1mo ago Closed

$155k - $200k/yr Contract Agent Security Ai Security Artificial Intelligence

This position is no longer accepting applications (closed Oct 19, 2026).

Job Description

Teleion Consulting is seeking a hands-on, client-facing Senior AI Security Engineer to help protect AI workloads and enterprise AI deployments. This contract role is based in Seattle, WA (onsite) and centers on securing large language models, agentic systems, AI gateway layers, and the governance and zero trust controls that support the full AI stack.

In this position, you will assess real production risks, implement centralized control for AI traffic, and strengthen how identity, tools, and data access are governed for AI agents and MCP (Model Context Protocol) tooling. The work also includes red teaming and shadow discovery to identify unsafe or unsanctioned AI usage across client environments.

Key Responsibilities

Evaluate and mitigate AI and LLM attack surfaces in production, including prompt injection (direct and indirect), data leakage via model outputs, insecure tool use, jailbreaking, and model supply chain risk.
Deploy, configure, and operate AI gateways and LLM proxy layers with centralized control, including model allowlists, per-team API keys, rate and budget limits, centralized audit logging, and inline guardrails for prompt injection, sensitive data egress, credential leakage, and unsafe output.
Design and implement governance frameworks for agentic systems and MCP tooling, covering registries, approval workflows, runtime policy enforcement, and identity and authorization patterns for non-human identities.
Implement OAuth-based access and token lifecycle management, along with scoped tool permissions for AI agents aligned to least-privilege principles.
Extend zero trust controls to AI workloads across identity, device, network, application, and data pillars, with Azure preferred (Entra ID, Defender for Cloud, Key Vault, Purview, Conditional Access).
Build monitoring and detection for AI systems, including prompt behavior analysis, tool invocation patterns, anomalous output detection, and data movement tracking.
Run AI red team and adversarial testing to identify vulnerabilities using PyRIT, Garak, or equivalent tooling.
Lead shadow AI discovery initiatives to identify unsanctioned AI applications and browser extensions across the enterprise.
Perform third-party AI vendor security reviews and assess M365 Copilot security posture, including oversharing remediation and sensitivity label enforcement.
Advise clients on AI governance frameworks, including OWASP Top 10 for LLM Applications, MITRE ATLAS, NIST AI RMF, and relevant compliance standards.
Perform tasks as assigned.

Requirements

7+ years of security engineering experience, including at least 2 years directly securing AI, ML, or GenAI systems in production.
Hands-on experience securing LLM and agent attack surfaces: prompt injection, jailbreaking, data extraction, capability chaining, and supply chain risk.
Experience deploying or operating an AI gateway, LLM proxy, or centralized AI control plane with production-grade input/output guardrails and audit logging.
Familiarity with agentic AI risk classes, such as excessive agency, capability chaining, tool and memory poisoning, and unsafe autonomous action.
Experience implementing identity and authorization patterns for non-human identities in an AI or service-oriented context.
Strong cloud security background with Azure preferred (Entra ID, Defender for Cloud, Key Vault, Purview, Conditional Access).
AI red team experience using PyRIT, Garak, or equivalent tools.
Python proficiency, including work with LLM APIs (OpenAI, Anthropic, Azure OpenAI) and security evaluation tooling.
Knowledge of OWASP Top 10 for LLM Applications, MITRE ATLAS, and NIST AI RMF.
Certifications preferred: CISSP, AZ-500, SC-100, or CCSP. Familiarity with ISO/IEC 42001 or EU AI Act is a plus.

Technologies

Python
OAuth
PyRIT
Garak
MCP (Model Context Protocol)
OpenAI
Anthropic
Azure OpenAI
Azure
Entra ID
Defender for Cloud
Key Vault
Purview
Conditional Access
M365 Copilot
OWASP Top 10 for LLM Applications
MITRE ATLAS
NIST AI RMF
ISO/IEC 42001
EU AI Act
CISSP
AZ-500
SC-100
CCSP

Compensation and Employment Details

Location: Seattle, WA (onsite)
Salary: USD 155,000 - 200,000 per year
Job Type: contract

Benefits

full benefits
PTO
holiday
401(k)

View full job page →

1mo ago

Enterprise Application Security Engineer (Builder)

Meta New York, NY

New York, NY

1mo ago Closed

$122k - $181k/yr Full time Agent Agent Security Ai Security

This position is no longer accepting applications (closed Oct 17, 2026).

Job Description

Meta’s Enterprise Application Security team is seeking an Enterprise Application Security Engineer (Builder) to create and strengthen security tooling, automation, and frameworks that help enterprise teams deliver secure applications and services at scale. The position focuses on shifting security detection and prevention earlier in the development lifecycle and establishing guardrails for safe adoption of third-party AI applications and agentic workflows.

Responsibilities

Conceive, design, develop, and continuously improve security tooling, automation, and/or frameworks that help enterprise teams deliver applications and services with security controls aligned to evolving security, privacy, and data protection requirements.
Identify and eliminate recurring classes of security problems by shifting detection and prevention left into the development workflow.
Provide just-in-time, technical security guidance to enterprise application and service teams through code reviews, penetration tests, adversarial testing, threat modeling, architecture design reviews, and other security activities.
Partner with cross-functional teams to ensure security priorities are surfaced and addressed.
Design and build security controls and guardrails that enable safe adoption of third-party AI applications and agentic workflows across the enterprise, including controls that define what automated systems can access and what data they can reach.
Protect sensitive and highly confidential data in enterprise applications by building enforcement mechanisms that operate continuously and at scale.

Requirements

B.S. or M.S. in Computer Science, Engineering, or a related technical discipline, or equivalent experience.
2+ years of professional experience developing production-level code in Python, PHP, Java, Ruby, Go, Rust, C/C++, or a similar language.
2+ years of professional experience identifying and mitigating security issues in software (using Python, PHP, Java, Ruby, Go, Rust, C/C++, or similar) and knowledge of best-practice secure coding.
Experience owning a component, feature, or system.
Experience building and securing enterprise-scale software, services, and infrastructure.
Ability to communicate technical security findings and recommendations in writing to both technical and non-technical stakeholders.

Technologies

Python
PHP
Java
Ruby
Go
Rust
C/C++

Location

New York, NY (onsite)

Compensation

USD 122,000 - 181,000 per year + bonus + equity + benefits

Benefits

Meta offers benefits.

Preferred Qualifications

Experience developing software that enables or evaluates security controls in complex systems.
Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains and quality improvements.
Demonstrated ongoing AI skill development (for example, prompt/context engineering and agent orchestration) and staying current with emerging AI technologies.
Experience fixing enterprise security problems across broad corporate boundaries through influence and relationships.
Experience designing, analyzing, and conducting threat model assessments of enterprise software and services.
Experience with penetration testing or red team operations.
Contributions to the security community, such as public research, blogging, presentations, or bug bounty participation.
Experience automating application security controls in large-scale enterprise environments.
Experience adhering to and implementing responsible, ethical AI practices, including risk assessment, bias mitigation, and quality and accuracy reviews.
Broad knowledge of the security domain, which may include security investigations, incident management, digital forensics, offensive security, vulnerability management, application security, and other security disciplines.

View full job page →

2mo ago

Staff AI Security Engineer

Okta New York, NY

New York, NY

2mo ago Closed

$180k - $248k/yr Full time Agent Security Ai Security Ai Security Guardrails

This position is no longer accepting applications (closed Sep 11, 2026).

Job Description

Okta is seeking a Staff AI Security Engineer (senior individual contributor) to strengthen the Security team’s ability to secure AI models, agentic workflows, and autonomous systems. In this hybrid role in New York, NY, you will help define the technical vision and practical architecture for enterprise AI security, with hands-on controls, scalable infrastructure, and developer-first standards.

What you’ll own

Secure AI implementations: Design and deploy enterprise AI guardrails, gateways, and controls to protect agentic workflows from emerging threats.
Agent hardening and sandboxing: Build security architectures for local and hosted agents to reduce risks including tool-calling abuse, prompt injection, goal misalignment, and data exfiltration.
Define paved roads and security standards: Create secure design patterns and developer tools that enable teams to ship AI features safely and quickly.
Threat modeling for AI workflows: Lead threat modeling and security reviews across agentic AI systems, enterprise deployments, and AI ecosystems.
AI discovery and visibility: Develop systems to discover, inventory, and assess AI usage and data flows across the enterprise.
Agentic platform infrastructure: Design and operate internal AI security platforms, including integrated capabilities that automate complex security operations.
Technical leadership and mentorship: Drive alignment across product, security, and infrastructure teams while mentoring engineers and security practitioners across domains.

What you bring

AI security expertise: Deep understanding of the AI threat landscape, including OWASP, MITRE ATLAS, and NIST AI RMF, with practical experience addressing threats such as prompt injection and excessive agency.
Software engineering background: 8+ years of experience in security engineering or backend software development, with strong coding proficiency in Python or Go, plus hands-on cloud experience.
Agentic framework knowledge: Experience securing or auditing agentic frameworks (for example LangChain, Strands, Claude Agent SDK, or custom tool-calling agents) in sandboxed environments.
Architectural expertise: Proven ability to design scalable cloud infrastructure on AWS or GCP, including API gateways, proxy architectures, and access controls for enterprise systems.
Paved road construction: Track record building developer-first security tools and platform controls that preserve engineering velocity.
Technical leadership: Strong communication skills, including experience influencing engineering leaders and mentoring engineers.
Education: Bachelor’s degree in Computer Science, Cybersecurity, Information Security, or equivalent practical experience.

Tools and technologies

Python, Go, AWS, GCP
OWASP, MITRE ATLAS, NIST AI RMF
LangChain, Strands, Claude Agent SDK

Okta experience

Supporting Your Well-Being
Driving Social Impact
Developing Talent and Fostering Connection + Community

Compensation: USD 180,000 - 247,500 per year.

Location: New York, NY (hybrid).

View full job page →

Agent Security Engineer Jobs

Senior AI Security Engineer

Enterprise Application Security Engineer (Builder)

Staff AI Security Engineer

Get Agent Security Engineer Jobs alerts