GenAI Cloud Security Chief Architect

About the Role: Grade Level (for internal use): 13 The role: GenAI Cloud Security Chief Architect We are seeking a seasoned GenAI Cloud Security Chief Architect to design, implement, and continuously improve our enterprise AI security posture across all major cloud providers (AWS, Microsoft Azure, Google Cloud Platform, Oracle Cloud Infrastructure) and onu2011prem/edge environments. This role will own the AI risk framework , perform security architecture reviews for agentic AI systems, and lead the secure design, deployment, and lifecycle management of AI agents (including MCP, ACP, and A2A patterns). The ideal candidate blends deep security engineering experience with modern AI/ML and MLOps/LLMOps knowledge, delivering secure-by-design solutions that are compliant, resilient, and businessu2011aligned. Key Responsibilities Strategy & Governance + Define and operationalize the AI Security Strategy covering models (foundation, openu2011source, fineu2011tuned), data pipelines, orchestration layers, agents, and integrations across AWS, Azure, GCP, and OCI. + Establish and maintain an AI Risk Framework (e.g., NIST AI RMF, ISO/IEC 23894), mapping to enterprise risk taxonomy, control objectives, and regulatory requirements (e.g., SOC 2, ISO 27001, NIST 800u201153, CSA CCM). + Create AI security policies and standards (prompt safety, model access control, agent permissions, data retention, evaluation criteria, provenance & watermarking) and drive adoption across product and platform teams. + Lead AI Security Governance forums with Legal, Compliance, Privacy, Risk, and Data teams; champion secureu2011byu2011design and privacyu2011byu2011design principles. Architecture & Engineering + Perform Security Architecture Reviews for AI systems: + _Models:_ hosted (Azure OpenAI, Bedrock, Vertex AI), selfu2011hosted (Open source, onu2011prem GPUs), retrieval augmented generation (RAG). + _Agents:_ MCP servers, ACP patterns, A2A (Agentu2011tou2011Agent) communication, tool/plugin ecosystems, vector DBs, function calling. + _Pipelines:_ data ingestion/ETL, feature stores, prompt libraries, guardrails, evaluators, and observability. + Develop and maintain security reference architectures for multiu2011cloud AI workloads, including: + Identity & Access (IAM, workload identity federation, secrets & key management). + Network segmentation, private connectivity, service endpoints, API gateways. + Data security (classification, tokenization, encryption, confidential computing, secure enclaves). + Model security (supply chain, signing, attestation, integrity verification, model provenance). + Design and implement agent safety controls : sandboxing, leastu2011privilege tooling, capability constraints, policy enforcement (RBAC/ABAC), prompt injection defenses, jailbreak & promptu2011leak mitigation, safe toolu2011use patterns. + Build secure AI agents and MCP/ACP/A2A integrations (e.g., tools for enterprise systems like ticketing, knowledge bases, DevOps, and cloud APIs), including: + Runtime isolation (containers, microVMs), egress controls, command filtering, and audit trails. + Safety guardrails: content filters, toxicity checks, output validation, semantic gateways. + Observability: telemetry, tracing, prompt/result logging, risk scoring, redu2011team feedback loops. + Embed LLMOps/MLOps security in CI/CD: model artifact scanning, dependency SBOMs, policyu2011asu2011code, attestation, and controlled promotion through environments. + Implement continuous evaluation and guardrails : adversarial prompts, scenariou2011based testing, safety & accuracy metrics, drift detection, hallucination tracking, bias & fairness assessments. + Map AI controls to regulatory frameworks (e.g., financial sector, privacy laws including GDPR/CCPA/GLBA). Stakeholder Enablement + Partner with Cloud Architecture, Data Science, and Cloud Platform teams to deliver secure AI features at speed without compromising risk posture. + Educate and enable engineering teams : playbooks, secure coding guidelines for agents, prompt hygiene, model evaluation standards, and threat modeling workshops. + Communicate risk and value tradeu2011offs to executives; produce clear dashboards and reports on AI security KPIs, incidents, and risk reduction. Required Qualifications + 10+ years in Information Security with 4+ years in cloud security and 2+ years in AI/ML or LLMOps security. + Handsu2011on multiu2011cloud expertise: + _AWS:_ IAM, KMS, PrivateLink, Bedrock, SageMaker, GuardDuty, CloudTrail. + _Azure:_ Entra ID, Key Vault, Private Endpoints, Azure OpenAI, ML, Defender for Cloud. + _GCP:_ IAM, KMS, VPCu2011SC, Vertex AI, Cloud Armor, Audit Logs. + _OCI:_ IAM, Vault, Service Gateway, Data Science, Logging & Events. + Security engineering proficiency: Zero Trust, policyu2011asu2011code (OPA/Conftest), secrets management (HashiCorp Vault), container security, SBOMs, SLSA, Sigstore. + AI/LLM stack knowledge: RAG patterns, vector databases (Pinecone/Weaviate/FAISS), prompt engineering, guardrails (e.g., policy filtering), evaluation frameworks, agent orchestration (MCP/ACP/A2A, function/tool calling). + Threat modeling and offensive testing for AI systems, including prompt injection and agent misuse. + Strong understanding of privacy and compliance impacting AI (GDPR, CCPA, GLBA, sectoru2011specific regs). Preferred Qualifications + Experience deploying agentic AI in production with secure toolchains and runtime isolation. + Familiarity with confidential computing (AMD SEV, Intel SGX, Azure Confidential Computing, Nitro Enclaves) and privacyu2011preserving ML (differential privacy, federated learning, homomorphic encryption). + Experience with model risk management and AI explainability/traceability (provenance, watermarking, evaluation pipelines). + Background in financial services or other highly regulated industries. + Expertise with data governance (catalogs, lineage, quality) and security posture management (CSPM/CNAPP) for AI workloads. Certifications (Nice to Have) + CISSP, CCSP, CISM + Certified Cloud Security Professional (CCSP) equivalents for AWS/Azure/GCP/OCI + Machine Learning / AI certifications (e.g., AWS ML Specialty, Azure AI Engineer) Compensation/Benefits Information (US Applicants Only): S&P Global states that the anticipated base salary range for this position is $166,000 u2013 $213,000. Final base salary for this role will be based on the individualu2019s 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. This role is eligible to receive additional S&P Global benefits. For more information on the benefits we provide to our employees, please click here ( _._ Whatu2019s In It For You? Our Mission: Advancing Essential Intelligence. Our People: We're more than 35,000 strong worldwideu2014so 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. Weu2019re 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. Thatu2019s why we provide everything youu2014and your careeru2014need 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: Itu2019s 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 awardsu2014small perks can make a big difference. For more information on benefits by country visit: 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 domain or any other regionally based domains, it is a scam and should be reported to . S&P Global never requires any candidate to pay money for job applications, interviews, offer letters, u201cpre-employment trainingu201d 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 (. ----------------------------------------------------------- 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: and your request will be forwarded to the appropriate person. US Candidates Only: The EEO is the Law Poster describes discrimination protections under federal law. Pay Transparency Nondiscrimination Provision - English_formattedESQA508c.pdf ----------------------------------------------------------- 103 - Middle Management (EEO Job Group) (inactive), 10 - Officials or Managers (EEO-2 Job Categories-United States of America), IFTECH103.2 - Middle Management Tier II (EEO Job Group) Job ID: 324008 Posted On: 2026-01-13 Location: Princeton, New Jersey, United States

Created: 2026-01-15