About the Role:

Grade Level (for internal use):

The role: AI Application Security Architect

Location:New Jersy US or London UK

Role Summary
We are seeking a highly skilled professional to drive the secure development lifecycle (SDLC) of agentic AI systems and applications across multi-cloud (AWS Azure GCP) and hybrid/on-prem environments. This role will focus on embedding robust application security controls performing secure SDLC reviews and leading the design and automation of security validation for agentic AI and LLM-powered solutions. The ideal candidate blends hands-on security engineering expertise with practical experience in AI/ML MLOps/LLMOps and secure application architecture delivering resilient compliant and business-aligned agentic AI systems.

Key Responsibilities

Application Security & SDLC Automation

• Integrate security best practices throughout the SDLC for agentic AI applications from design and code to deployment and operations.
• Develop and maintain automated security testing pipelines (SAST DAST SCA) for AI agents APIs and orchestration layers.
• Conduct security code reviews and threat modeling for agentic AI focusing on model inputs/outputs agent-to-agent (A2A) agent-to-process (A2P) and multi-agent control plane (MCP) interactions as well as plugin/tool integration.
• Implement and automate security controls for secure agent deployment (sandboxing RBAC/ABAC policy enforcement prompt injection/jailbreak mitigations).
• Ensure traceability and compliance by mapping agentic AI controls to regulatory frameworks (e.g. SOC 2 ISO 27001 NIST 80053 GDPR/CCPA).

Agentic AI Security Engineering

• Design implement and continuously improve security for agentic AI systems including secure orchestration protocols such as A2A A2P MCP and related agentic communication and coordination patterns.
• Build and test secure-by-design agentic AI features including runtime isolation egress controls audit trails and observability (telemetry prompt/result logging risk scoring).
• Embed LLMOps/MLOps security into CI/CD (model artifact scanning SBOMs policy-as-code attestation controlled promotion).
• Continuously evaluate agent safety with adversarial prompts scenario-based testing drift/hallucination detection and bias/fairness assessments.

AI Security Testing Strategy & Pentesting

• Develop and execute a comprehensive AI security and penetration testing strategy for agentic AI applications and systems with a focus on protocol-level security for A2A A2P MCP and other agentic communication patterns.
• Lead offensive security assessments including adversarial prompt testing agent misuse scenarios and vulnerability identification in agentic AI deployments.
• Collaborate with engineering teams to remediate findings and strengthen security posture across AI-enabled applications.

Governance Stakeholder Enablement & Metrics

• Define and operationalize agentic AI security policies standards and playbooks for engineering teams including secure usage of agentic protocols (A2A A2P MCP etc.).
• Lead secure SDLC and AI Security enablement: deliver secure coding guidelines threat modeling workshops and prompt hygiene training.
• Effectively communicate risk security posture and value trade-offs to business stakeholders and executives.
• Present security metrics dashboards and reports on application/AI security KPIs incidents and risk reduction to both technical and non-technical audiences.
• Partner with Cloud Data Science and Platform teams to deliver secure agentic AI features while maintaining a strong security posture.

Required Qualifications

• 10 years in Application Security or Security Engineering.
• 5 years in secure SDLC roles.
• 1 year in AI/ML or LLMOps security.
• Hands-on multi-cloud experience (AWS/Azure/GCP/OCI) with IAM KMS security monitoring and AI services.
• Proficiency in secure SDLC automation tools (e.g. SAST DAST SCA IaC scanning).
• Strong knowledge of agentic AI/LLM stacks (RAG vector DBs agent orchestration prompt engineering policy guardrails) with hands-on experience in agentic protocols such as A2A A2P MCP and related patterns.
• Experience with threat modeling offensive testing and application security for AI/ML systems.
• Understanding of privacy and compliance requirements for AI-enabled applications.

Preferred Qualifications

• Experience deploying agentic AI or LLM-based applications with secure toolchains and runtime isolation.
• Familiarity with confidential computing privacy-preserving ML and explainable AI.
• Background in regulated industries (e.g. financial services healthcare).
• Security and cloud certifications: CISSP CCSP CISM OSCP CKA AWS/Azure/GCPsecurity specialties.

Compensation/Benefits Information (US Applicants Only):

S&P Global states that the anticipated base salary range for this position is $165000 $215000. Final base salary for this role will be based on the individuals geographical location as well as experience and qualifications for the role.
In addition to base compensation this role is eligible for an annual incentive plan. This role is not eligible for additional compensation such as an annual incentive bonus or sales commission plan.

Whats In It For You

Our Mission:

Advancing Essential Intelligence.

Our People:

Were more than 35000 strong worldwideso were able to understand nuances while having a broad perspective. Our team is driven by curiosity and a shared belief that Essential Intelligence can help build a more prosperous future for us finding new ways to measure sustainability to analyzing energy transition across the supply chain to building workflow solutions that make it easy to tap into insight and apply it. We are changing the way people see things and empowering them to make an impact on the world we live in. Were committed to a more equitable future and to helping our customers find new sustainable ways of doing business. Join us and help create the critical insights that truly make a difference.

Our Values:
Integrity Discovery Partnership

Throughout our history the worlds leading organizations have relied on us for the Essential Intelligence they need to make confident decisions about the road ahead. We start with a foundation of integrity in all we do bring a spirit of discovery to our work and collaborate in close partnership with each other and our customers to achieve shared goals.

Benefits:

We take care of you so you cantake care of business. We care about our people. Thats why we provide everything youand your careerneed to thrive at S&P Global.

Our benefits include:

• Health & Wellness: Health care coverage designed for the mind and body.

• Flexible Downtime: Generous time off helps keep you energized for your time on.

• Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.

• Invest in Your Future: Secure your financial future through competitive pay retirement planning a continuing education program with a company-matched student loan contribution and financial wellness programs.

• Family Friendly Perks: Its not just about you. S&P Global has perks for your partners and little ones too with some best-in class benefits for families.

• Beyond the Basics: From retail discounts to referral incentive awardssmall perks can make a big difference.

For more information on benefits by country visit: Hiring and Opportunity at S&P Global:

At S&P Global we are committed to fostering a connected andengaged workplace where all individuals have access to opportunities based on their skills experience and contributions. Our hiring practices emphasize fairness transparency and merit ensuring that we attract and retain top talent. By valuing different perspectives and promoting a culture of respect and collaboration we drive innovation and power global markets.

Recruitment Fraud Alert:

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Required Experience:

Staff IC