S&P Global
AssociateDirector,AgenticAISolutions
“Associate Director, Agentic AI Solutions at S&P Global. Skills: Agentic AI, Multicloud AI, Leadership, Architecture. Define the vision for autonomous agents. Lead the strategy for a multicloud AI stack”
What You'll Achieve.
Create a seamless, intelligent enterprise where AI agents act as a force multiplier for our global workforce; Ensure portability and performance; Ensure that agents have secure, standardized ways to interact with internal APIs, databases, and third-party services; Ensure that autonomous actions are audited, reversible, and compliant with global AI security frameworks and S&P Global’s ethical standards; Ensure S&P Global maintains a competitive edge
Industry & Context.
Solve non-linear problems
What They're Looking For.
Must Have
12+ years of experience in Software Engineering, Cloud Architecture, or AI Solutions, 4+ years of leadership experience, managing senior technical leads and high-impact engineering roadmaps, Proven ability to drive 'Transformation' rather than just 'Maintenance', Agentic AI Frameworks: Deep conceptual and practical understanding of how AI agents function (e.g., function calling, planning, memory, and tool-use), Experience architecting solutions across at least two major cloud providers (GCP Vertex AI, AWS Bedrock, or Azure AI Foundry/Studio), Expert-level knowledge of how to use platforms like Moveworks to trigger sophisticated backend logic hosted on cloud-native infrastructure, Mastery of API-first architectures, Ability to perform architectural reviews of code and understand the technical nuances of serverless and containerized deployments, The ability to act as a 'Translator'
Nice to Have
AWS Certified AI/ML Specialist, Google Professional Machine Learning Engineer, Azure AI Engineer Associate, Experience contributing to or managing projects in the AI/Agentic community, Experience in 'AI Red-Teaming' or adversarial testing for autonomous systems, Familiarity with the 'plumbing' of a global firm (e.g., Auth0, MuleSoft, Kong, or Service Mesh)
What You'll Do.
Define the vision for autonomous agents
Lead the strategy for a multicloud AI stack
Oversee the deployment of LLMs and Agentic frameworks
Manage the integration of Moveworks
Design the blueprints for 'Agentic Tool-Use'
Scale and mentor the AI Engineering hub
Lead the implementation of 'Agentic Guardrails'
Evaluate new foundational models and agentic architectures
How You'll Work.
Team & Collaboration
Work with product team
Communication Scope
Explain the ROI of an autonomous agent to a business leader; Discuss 'latency-aware prompt design' with developers
Process & Methodology
Manage high-impact engineering roadmaps
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