Be an early applicantLess than 25 applicants

Company

S&P Global · 8 hours ago

Associate Director of Generative AI Platform Engineering

New York, United States

Full-time

Remote

Senior Level, Lead/Staff, Director/Executive

$125K/yr - $220K/yr

7+ years exp

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AnalyticsBusiness Intelligence

Culture & Values

H1B Sponsor Likely

Hiring Manager

Hemanth Y.

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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.

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

Generative AICloud platform engineeringFull-stack developmentMachine learningPythonMLOps toolsDistributed systemsSystem architectureAPIs integrationReactVueAngular JSKubernetesServerlessCloud PaaSPrompt engineeringRAGFinetuningGithub contributionsOpen source initiatives

Required

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.

Preferred

Experience with full-stack engineering development for deep learning and LLM solutions

Experience contributing to Github and open source initiatives or in research projects.

Benefits

Annual incentive plan

Additional S&P Global benefits

Company

S&P Global

Glassdoor

4.1

S&P Global is a market intelligence company that provides financial information and data analytics services.

Founded in 1860

New York, New York, USA

10001+ employees

https://www.spglobal.com

H1B Sponsorship

S&P Global has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

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Trends of Total Sponsorships

2023 (23)

2022 (37)

2021 (47)

2020 (32)