Associate Director - AI Engineering

S&P Global

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY · Princeton, NJ
Salary
$150,000–$190,000 / yr
Posted
4 days ago
Closes
Jun 2, 2027

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $225k
This role $170k
$137k most similar roles pay here $276k

This role pays less than 83% of similar roles. Most pay $195,000–$254,931 — the shaded band above. At the midpoint, this role pays about $170k versus about $225k for comparable roles.

Based on 240 similar postings.

Employer

About S&P Global

S&P Global delivers Essential Intelligence® that shapes decision making. We provide the world’s leading organizations with the right data, connected technologies and expertise they need to move ahead.

S&P Global currently has 25 open roles on FindRole.

Listed pay typically runs $142,000–$207,700 across 15 roles with salary data.

Most-posted roles

View all roles at S&P Global

At a glance

TL;DR · Associate Director - AI Engineering

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As an Associate Director of AI Engineering at S&P Global, you will lead the strategic design and development of AI-driven pipelines to enhance workflows across the organization. This role involves collaborating with product, engineering, data science, and business teams to integrate advanced AI solutions using cutting-edge models and cloud infrastructure such as AWS, Azure, or GCP. You will also manage senior stakeholders, establish best practices for ethical AI use, and develop policies for responsible adoption. Key responsibilities include overseeing the deployment of AI applications in production environments, fostering innovation through external partnerships, and driving large-scale AI adoption through training and change management initiatives. The ideal candidate has over 10 years of experience with at least 5 years specializing in AI, proficiency in Python and common AI frameworks, and expertise in deploying multi-modal LLMs and agentic toolkits like LangChain and AutoGen.

Skills

AWS Azure GCP Kubeflow LangChain AutoGen Python SageMaker Azure ML Prefect LLMs OCR Tesseract multi-modal LLMs neural networks transformers embeddings

What you'll do

  • Lead the design and development of AI-driven pipelines to transform workflows.
  • Establish best practices for AI model deployment, monitoring, and ethical use.
  • Define KPIs to measure the impact of AI on business performance.
  • Oversee AI pilot programs and scale successful initiatives across the organization.
  • Develop governance models for ethical AI agent deployment and compliance.
  • Partner with product, engineering, data science teams to integrate AI into offerings.
  • Engage external stakeholders to foster innovation and collaboration in AI.

What we're looking for

  • 10+ years of experience, including 5+ in AI engineering.
  • Expertise in LLMs (e.g., Gemini, GPT) and OCR tools (e.g., Tesseract).
  • Proficient in cloud platforms (AWS SageMaker, Azure ML) and orchestration tools (Kubeflow, Prefect).
  • Experience with agentic toolkits like LangChain and AutoGen for AI applications.
  • Strong Python programming skills and knowledge of common AI frameworks.
  • Ability to manage senior stakeholders and drive large-scale AI adoption.

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