Associate Director - AI Engineering

S&P Global•Princeton, NJ

4d•$150,000 - $190,000•Hybrid

About The Position

The role of Associate Director, AI Engineering at S&P Global Corporate (Grade Level 12) is based in Princeton, NJ or New York, NY, with a hybrid work model requiring two days onsite per week. This position involves leading the design, development, and scaling of AI-driven pipelines to transform workflows across S&P Global. The ideal candidate will be a strategic leader capable of architecting end-to-end AI data collection and mining solutions using advanced models, cloud infrastructure, and orchestration tools. This role requires managing senior stakeholders and driving AI adoption at scale. The successful candidate will be a visionary technical leader with expertise in designing AI solutions and pipelines, deploying AI applications in production, and understanding foundational models, neural networks, cloud infrastructure (AWS/Azure/GCP), orchestration tools (e.g., Kubeflow), and agentic frameworks (e.g., LangChain, AutoGen).

Requirements

10+ years work experience with 5+ years in the AI space.
Experience with LLMs: Gemini, llama, gpt etc. and OCR: textract, tesseract etc.
Strong understanding of the use of neural networks, embeddings, transformers etc.
Cloud platforms (AWS SageMaker, Azure ML; etc).
Orchestration tools (eg Prefect; etc).
Agentic toolkits (LangChain, LlamaIndex, AutoGen, Google Agentic Framework).
Experience in productionizing AI applications.
Strong programming skills in python and common AI frameworks.
Experience with multi-modal LLMs and integrating vision and text for autonomous agents.
Proficient written and oral communication in English.
Excellent presentation skills with a high degree of comfort speaking with senior executives, IT Management, and developers.
Experience in deployment and management of applications utilizing cloud-based infrastructure.
Indefinite right to work within the USA.

Responsibilities

Partner with product, engineering, data science, and business teams to integrate AI into core offerings across SPGI.
Work with executive leadership to prioritize AI investments and resource allocation.
Engage with external stakeholders (partners, vendors, academia) to foster innovation and collaboration.
Establish best practices for AI model development, deployment, and monitoring.
Ensure ethical AI use, compliance with regulations, and mitigation of bias and risks.
Develop policies for data privacy, security, and responsible AI adoption.
Oversee AI pilot programs and scaling of successful initiatives.
Define KPIs to measure AI impact on business performance.
Drive AI adoption across the organization through training and change management.
Establish monitoring frameworks for AI system to system performance and drift analysis.
Develop governance models for ethical AI agent deployment and compliance.