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Nist Ai Risk Management Engineer Jobs

2 jobs found

1mo ago

AI Cybersecurity Engineer

Agilent Technologies Inc Colorado Springs, CO

Colorado Springs, CO

1mo ago Closed

$139k - $218k/yr Full time Ai Security Application Security Cloud Ai Security

This position is no longer accepting applications (closed Oct 22, 2026).

Job Description

Agilent Technologies, Inc is seeking an AI Cybersecurity Engineer to help enable the secure adoption of AI across the organization. In this onsite role in Colorado Springs, CO, you will partner with business, IT, product teams, and ISRM to design, develop, deploy, and operate AI solutions with appropriate security controls and governance.

This position focuses on assessing AI security and compliance risk, strengthening long-term strategy, and collaborating across enterprise architecture, cloud, engineering, and security specialties to ensure AI capabilities are protected across the lifecycle.

What you will do

Collaborate with IT, business functions, and product teams to support the secure development and deployment of AI solutions.
Assist with security assessments and risk reviews for commercial AI platforms, AI-enabled products, generative AI solutions, machine learning models, and internally developed AI capabilities.
Support short-term, mid-term, and long-term AI-related initiatives and projects across Agilent.
Work with enterprise architects, cloud teams, engineering teams, and security specialists to integrate security controls into AI solutions.
Participate in threat modeling, architecture reviews, design discussions, and security assessments for AI-enabled systems.
Evaluate emerging AI technologies, security capabilities, industry trends, and evolving threat landscapes.
Help define and mature Agilent’s long-term AI security strategy, governance framework, and security roadmap.
Partner with Legal, Privacy, Compliance, Risk Management, Product Security, and Enterprise Security to align AI solutions with applicable requirements and standards.
Develop security recommendations covering AI data protection, model security, identity management, access controls, model governance, and third-party risk.
Promote secure AI development practices through awareness, education, and adoption activities across the organization.
Contribute to executive presentations, strategy discussions, standards development, and governance forums related to AI security.

Required qualifications

Bachelor’s degree in Computer Science, Cybersecurity, Information Technology, Engineering, Data Science, or a related field.
8+ years of experience in cybersecurity, information security, cloud security, application security, security engineering, or a related discipline.
3+ years of experience supporting AI, machine learning, data science, automation, or emerging technology initiatives.
Strong understanding of cybersecurity principles.
Experience evaluating security risks tied to commercial SaaS platforms, cloud services, and emerging technologies.
Knowledge of cybersecurity frameworks, security controls, and industry best practices.
Strong communication and stakeholder management skills, with the ability to collaborate across technical and non-technical audiences.
Ability to translate complex cybersecurity and AI-related risks into practical business recommendations.

Technologies

Azure AI Services
OpenAI
Microsoft Copilot
AWS AI services
Google Vertex AI
NIST AI Risk Management Framework (AI RMF)
NIST Cybersecurity Framework (CSF)
ISO 27001
OWASP Top 10 for LLM Applications
CISSP
CCSP
CISM
GIAC

Preferred qualifications

Experience securing generative AI platforms, machine learning environments, AI agents, copilots, and AI-enabled applications.
Experience reviewing or implementing AI governance programs, responsible AI frameworks, or AI risk management processes.
Familiarity with AI threat modeling, model security, prompt injection risks, data leakage protections, model integrity, and AI supply chain security.
Experience working with Azure AI Services, OpenAI, Microsoft Copilot, AWS AI services, Google Vertex AI, or similar platforms.
Knowledge of NIST AI Risk Management Framework (AI RMF), NIST Cybersecurity Framework (CSF), ISO 27001, OWASP Top 10 for LLM Applications, and related standards.
Experience in regulated industries such as life sciences, healthcare, medical devices, software, or manufacturing.
Professional certifications such as CISSP, CCSP, CISM, GIAC, Microsoft Security certifications, AI-related certifications, or equivalent.

Compensation and benefits

Salary range: USD 139,440 - 217,875 per year
Benefits: bonus, stock, benefits

Additional information

Work schedule: full time, day shift
Travel required: 10% of the time
Job function: IT
Duration: no end date
Application deadline: accepted until at least September 28, 2026 or until the job is no longer posted
Pay range details: pay ranges are determined by role, level, and location; full-time equivalent range is $139,440.00 - $217,875.00/yr, plus eligibility for bonus, stock and benefits

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1mo ago

AVP-Cybersecurity Engineer (AI Security)

Moody's Charlotte, NC

Charlotte, NC

1mo ago Closed

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

This position is no longer accepting applications (closed Oct 18, 2026).

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.

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