Agentic Ai Security

Agentic Ai Security Engineer Jobs

2 jobs found

Today

Principal Security Engineer

Microsoft United States

United States

Today

$143k - $304k/yr Full time Active Directory Agent Agentic Ai Security

Apply Now

Job Description

The Principal Security Engineer serves as a principal-level operator for CyberShield, planning and executing end-to-end adversary emulation while leading agentic, AI-driven red team operations. This forward-deployed role supports defenders by partnering with customer and internal security organizations to improve threat detection, investigation quality, and security hardening.

Responsibilities

Execute CyberShield red team operations end-to-end, including initial access, privilege escalation, lateral movement and pivoting, persistence, objective completion, and reporting, against Microsoft’s own environment and select external customer environments.
Validate detection, investigation, and response using real-world adversary tactics, techniques, and procedures.
Develop custom tooling, implants, and tradecraft to evade modern defenses and emulate advanced adversary capabilities.
Lead agentic red team operations by designing and directing AI agents that autonomously perform reconnaissance, vulnerability discovery, exploitation, and post-exploitation. Define guardrails, oversight, and human-in-the-loop checkpoints to enable a shift from human-led execution to continuous software-driven, agentic analysis.
Discover and exploit vulnerabilities end-to-end across application, cloud, identity, network, hardware, and operational security layers, chaining findings into realistic attack paths that show business impact.
Act as a forward-deployed technical lead with customers, including briefing CISOs and security leaders, translating findings into actionable narratives, and delivering lightweight defensive engineering guidance alongside offensive results.
Prototype and productionize tools, agents, and techniques that scale offensive emulation and vulnerability discovery, and feed what works back to the offensive AI platform engineering team.
Collaborate with Blue Teams, GHOST (Microsoft adversary hunting), MSTIC (Microsoft Threat Intelligence Center), and internal Microsoft service teams to convert findings into product hardening and improved defender readiness.
Set operational standards and playbooks for CyberShield engagements, including mentoring senior operators and virtual-team specialists drawn from across MRT.
Advocate for security change across Microsoft and its customers by building partnerships and clearly communicating the impact of risk.
Embody Microsoft’s Culture and Values.

Required Qualifications

Master’s Degree in Statistics, Mathematics, Computer Science, or related field AND 4+ years experience in security or related field
OR
Bachelor’s Degree in Statistics, Mathematics, Computer Science, or related field AND 6+ years experience in security or related field
OR
equivalent experience.
Ability to meet Microsoft, customer and/or government security screening requirements for the role, including the Microsoft Cloud Background Check (required to pass upon hire/transfer and every two years thereafter) and possible additional customer- or government-directed vetting.

Technologies

Python, C#, C++, Go, PowerShell, .NET, Rust
Azure, AWS, GCP
Entra ID, Active Directory
Windows, Linux
MITRE ATT&CK, TIBER-EU, CBEST, DORA

Additional / Preferred Qualifications

Master’s Degree in Statistics, Mathematics, Computer Science, or related field AND 8+ years experience in security or related field
OR
Bachelor’s Degree in Statistics, Mathematics, Computer Science, or related field AND 12+ years experience in security or related field
OR
equivalent experience.
6+ years of experience planning and leading red team or adversary emulation operations against enterprise or cloud environments.
Demonstrated hands-on experience building, directing, or operating AI-driven or agentic offensive security tooling in real operations.
Active U.S. Government TS//SCI clearance with full-scope polygraph is a strong plus, enabling immediate work with the most sensitive customers.
8+ years of experience identifying and exploiting security vulnerabilities across cloud (Azure, AWS, GCP), identity (Entra ID / Active Directory), Windows and Linux endpoints, network, and hardware.
Experience designing multi-agent or autonomous systems using large language models, including orchestration frameworks, tool use, agent evaluation, and safety guardrails applied to offensive security.
6+ years of experience with coding or scripting in Python, C#, C++, Go, PowerShell, .NET, Rust, or comparable programming languages, including building and maintaining offensive tooling.
Experience in customer-facing or consulting roles delivering red team results to executive audiences, with the ability to move between deep technical detail and business impact.
Blue team, detection engineering, or incident response experience.
Familiarity with MITRE ATT&CK, threat-informed defense, and regulated red team frameworks (e.g., TIBER-EU, CBEST, DORA).
Recognized contributions to the security community, such as research, open-source tooling, conference talks, or CVEs.

Position Details

Location: United States (onsite)
Compensation: USD 142,800 - 304,200 per year
Minimum Experience: 4 years
Role Focus: CyberShield adversary emulation and agentic, AI-driven red team operations

View full job page →

Today

AVP-Cybersecurity Engineer (AI Security)

Moody's Charlotte, NC

Charlotte, NC

Today

$140k - $231k/yr Full time Agentic Ai Security AI Ai Security

Apply Now

Job Description

Moody's is expanding its cybersecurity leadership focused on protecting AI systems across the enterprise. In this onsite role in Charlotte, NC, you will guide the development and execution of AI security strategy, governance, and architecture, with a clear focus on securely using Azure AI capabilities.

As an AVP-Cybersecurity Engineer supporting AI Security, you will own a multi-year roadmap for AI security, align policies and control frameworks to recognized best practices and regulatory mandates, and help engineering teams adopt AI technologies with security built in early.

Role and scope

Own the multi-year AI security strategy and roadmap for securely leveraging Azure AI services, including Azure OpenAI and Azure Machine Learning.
Define and enforce enterprise AI security policies and control frameworks aligned with best practices and regulatory mandates, including the NIST AI Risk Management Framework.
Architect secure AI/ML environments in Azure, AWS, or GCP, covering data segmentation, network controls, and identity and access management using tools such as Azure Policy and Key Vault.
Establish security frameworks for Agentic AI systems and support secure deployment of Model Context Protocol servers.
Support risk reporting to the Chief Information Security Officer, executive leadership, and the Board on AI security posture and compliance with emerging regulations.
Collaborate with engineering, legal, and compliance teams to embed security early and enable secure AI adoption.
Drive secure innovation by challenging existing approaches, proposing improvements, and contributing to secure business enablement.

Technologies you will work with

Azure, AWS, GCP
Azure OpenAI, Azure Machine Learning
Azure Policy, Key Vault
NIST AI Risk Management Framework
Model Context Protocol

Requirements

5–7 years of experience in cybersecurity engineering, with a focus on AI and cloud security.
Deep understanding of Azure or AWS cloud architecture and AI security principles.
Expertise designing and implementing security controls for AI/ML systems and Azure or AWS environments, with proven ability to reduce vulnerabilities through proactive control implementation.
Strong analytical and problem-solving skills shown through resolving complex security incidents within SLA and leading cross-functional risk assessments.
Ability to mentor teams across the organization on AI security best practices.
Relevant certifications in Azure Security and AI Security are strongly desired.
Deep expertise in artificial intelligence, with a track record implementing advanced AI solutions to drive strategic transformation and operational efficiency, plus experience using AI tools to lead innovation initiatives.
Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption.
Bachelor's degree in Computer Science, Information Security, or a related field.

Education

Bachelor's degree in Computer Science, Information Security, or related field.
Relevant certifications in Azure Security and AI Security are strongly desired.

Compensation and location

Location: Charlotte, NC (onsite)
Estimated salary: USD 140,200 - 230,900 per year

Benefits

Incentive compensation eligibility
Medical, dental, vision
Parental leave
Paid time off
401(k) plan with employee and company contribution opportunities
Life, disability, and accident insurance
Discounted employee stock purchase plan
Tuition reimbursement

About the team

Moody’s Cybersecurity Engineering team safeguards Moody’s AI and cloud ecosystems through cutting-edge security strategies and frameworks.
Joining the team supports securing AI adoption across the enterprise using Microsoft Azure capabilities while ensuring compliance and ethical governance.
The role offers the opportunity to lead innovation in AI security and help shape future secure, AI-driven transformation.

View full job page →

Agentic Ai Security Engineer Jobs

Principal Security Engineer

AVP-Cybersecurity Engineer (AI Security)

Get Agentic Ai Security Engineer Jobs alerts