AI Application Security Architect

S&P Global; Greater London; Hybrid; GBP 165,000 - 215,000; Full time

Job summary

A leading global financial services firm is looking for an AI Application Security Architect to drive the secure development lifecycle for AI systems in multi-cloud environments. The ideal candidate will have extensive experience in application security, hands-on experience in AI/ML security, and be adept at integrating security practices across the software development lifecycle. This role will enable you to work on cutting-edge technology while ensuring compliance with security best practices and regulations.

Benefits

Health care coverage

Generous time off

Continuous learning opportunities

Financial wellness programs

Family-friendly benefits

Qualifications

• Extensive experience in application security and security engineering.
• Hands-on multi-cloud experience, particularly with AWS, Azure, and GCP.
• Proficient in secure SDLC automation tools and practices.

Responsibilities

• Integrate security practices throughout the SDLC for AI applications.
• Develop automated security testing pipelines for AI agents.
• Lead security assessments and collaborate with engineering teams.

Skills

Application Security

Security Engineering

AI/ML Security

Multi-cloud IAM

Threat Modeling

Education

10+ years in Application Security

5+ years in secure SDLC roles

1+ year in AI/ML or LLMOps security

Tools

AWS

Azure

GCP

SAST

DAST

Job description

About the Role:

Grade Level (for internal use):

13

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 800‑53, 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/GCP security specialties.

Compensation/Benefits Information (US Applicants Only)

S&P Global states that the anticipated base salary range for this position is $165,000 – $215,000. Final base salary for this role will be based on the individual’s 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.

What’s In It For You?

Our Mission:

Advancing Essential Intelligence.

Our People:

We're more than 35,000 strong worldwide—so we're 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 all. From 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. We’re 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 world's 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 can take care of business. We care about our people. That’s why we provide everything you—and your career—need 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: It’s 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 awards—small perks can make a big difference.

For more information on benefits by country visit: https://spgbenefits.com/benefit-summaries

Global Hiring and Opportunity at S&P Global:

At S&P Global, we are committed to fostering a connected and engaged 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:

If you receive an email from a spglobalind.com domain or any other regionally based domains, it is a scam and should be reported to [e-mail]. S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, “pre‑employment training” or for equipment/delivery of equipment. Stay informed and protect yourself from recruitment fraud by reviewing our guidelines, fraudulent domains, and how to report suspicious activity here https://www.spglobal.com/content/dam/spglobal/corporate/en/documents/careers/Corp_0525-Recruitment-Fraud-Alert.pdf.

Equal Opportunity Employer

S&P Global is an equal opportunity employer and all qualified candidates will receive consideration for employment without regard to race/ethnicity, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, marital status, military veteran status, unemployment status, or any other status protected by law. Only electronic job submissions will be considered for employment.

If you need an accommodation during the application process due to a disability, please send an email to: [e-mail] and your request will be forwarded to the appropriate person.

US Candidates Only

US Candidates Only: The EEO is the Law Poster http://www.dol.gov/ofccp/regs/compliance/posters/pdf/eeopost.pdf describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf

Job ID

323996

Posted On

2026-01-14

Location

Princeton, New Jersey, United States