Full-Time

Associate Director of Generative AI Platform Engineering

Confirmed live in the last 24 hours

S&P Global

S&P Global

10,001+ employees

Provides financial information and analytics services

Data & Analytics
Financial Services

Compensation Overview

$125k - $220kAnnually

+ Annual Incentive Plan

Senior, Expert

No H1B Sponsorship

Remote in USA + 2 more

More locations: New York, NY, USA | Remote in Canada

Hybrid or remote options available.

Category
Applied Machine Learning
AI Research
AI & Machine Learning
DevOps & Infrastructure
Required Skills
Kubernetes
Python
React.js
Vue.js
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Deep understanding of platform development and deployment at the scale of large enterprises.
  • Strong distributed systems skills and knowledge, Strong system architecture skills.
  • 7+ years of hands-on cloud platform engineering experience preferably with AI/ML development experience.
  • Significant hands-on development experience in integrating, evaluating, deploying, operationalizing scalable full-stack and web-application solutions (with some previous experience with front-end technologies such as React, Vue or Angular JS) and APIs at speed and scale, including integration with enterprise applications and APIs.
  • Experience with MLOps tools/frameworks (e.g. MLflow or similar)
  • Strong knowledge and deep experience of Python, proficiency in multiple programming languages and frameworks relevant to cloud development such as Kubernetes, Serverless, and cloud PaaS offerings.
  • Experience and knowledge of foundational Generative AI principles such as prompt engineering, RAG, finetuning, etc.
Responsibilities
  • Lead the design, development, and deployment of a generative AI platform, ensuring optimal integration with enterprise systems and standards.
  • Act as a hands-on developer and architect, creating a robust and scalable solution tailored to support AI-driven applications.
  • Demonstrate technical leadership and hands-on expertise in generative AI technologies and cloud architecture.
  • Responsible for the full stack development of the platform for AI products including custom architecture for batch and stream processing-based AI ML pipelines including data ingestion to preprocessing to scaled AI model compute and ensure the architecture meets all SLA requirements. Work closely with members of technology and business teams in the design, development, and implementation of Enterprise AI platform.
  • Ensure the deployment, and management of scalable and reliable platform and application infrastructure for AI, ML, GenAI, LLM products.
  • Lead the development, integration and testing of scalable APIs.
  • Create and maintain robust monitoring systems to track model performance, data quality, and infrastructure health. Identify and implement optimizations to improve system efficiency.
  • Collaborate closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems.
  • Collaborate closely with ML teams, business and PM stakeholders in full-stack implementation efforts and ensure technical milestones align with business requirements.
  • Implement security measures and compliance standards of the platform and APIs to ensure adherence to industry regulations.
  • Mentor technical engineering talent. Provide guidance and mentorship to junior engineers, fostering their professional growth and development.
  • Maintain documentation and architecture blueprints that guide the platform strategy and operational runbooks.
  • Ensure the use of standards, governance and best practices in ML pipeline and ML model monitoring, and adherence to model and data governance standards.

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. The company offers services such as credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. S&P Global's products work by utilizing advanced data analytics and research to deliver insights that assist clients in making informed decisions and managing risks. Unlike many competitors, S&P Global has a diverse range of divisions, including S&P Global Ratings and S&P Dow Jones Indices, which allows it to cater to various financial needs. The company's goal is to support clients in driving growth while also committing to corporate responsibility and positive societal impact.

Company Stage

IPO

Total Funding

N/A

Headquarters

New York City, New York

Founded

1917

Growth & Insights
Headcount

6 month growth

16%

1 year growth

3%

2 year growth

16%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for ESG data boosts S&P Global's market opportunities.
  • Acquisition of Visible Alpha enhances S&P Global's investment research capabilities.
  • India Research Chapter launch strengthens S&P Global's presence in emerging markets.

What critics are saying

  • Integration challenges with Visible Alpha may disrupt investment research enhancements.
  • Emerging AI-driven platforms threaten S&P Global's market share in personalized investing.
  • Complex regulatory environment in India may hinder the India Research Chapter's success.

What makes S&P Global unique

  • S&P Global offers comprehensive financial intelligence and analytics services worldwide.
  • The company provides unique ESG solutions, aiding clients in sustainability and compliance.
  • S&P Global's diverse divisions cater to various market needs, from credit ratings to indices.

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