Full-Time

GenAI Solutions Architect

Assoc Dir / Dir

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

$150k - $230kAnnually

Senior, Expert

No H1B Sponsorship

Remote in USA + 1 more

More locations: Remote in Canada

Candidates must have the right to work in the United States.

Category
Solution Engineering
Sales & Solution Engineering
Required Skills
LLM
Kubernetes
Microsoft Azure
Agile
Python
Airflow
NoSQL
Data Science
Git
Apache Spark
SQL
Machine Learning
AWS
Elasticsearch
MongoDB
Development Operations (DevOps)
Databricks
Google Cloud Platform

You match the following S&P Global 's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experienced professional (8+ years experience) as ML engineer, architect, lead data scientist in Big Data ecosystem or any similar distributed or public cloud platform, with a desire to assume greater responsibilities as a leader and mentor, while still being hands-on
  • 4+ years hands-on experience in ML architecture design and implementation for large-scale enterprise AI solutions and AI products
  • 4+ year’s experience with Business, Product Stakeholder Engagement and Collaboration: Demonstrated success Collaborating with business, product and PM stakeholders in AI roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
  • Experience working in Agile frameworks and delivery methods (scaled Agile, SAFe, etc.).
  • Expertise (4+ years) in the design and development of complex data-driven architectures for distributed computing and orchestration technology (Kubernetes, Ray, Airflow) and scaling
  • Experience with public cloud platform & system architectures (AWS, GCP, Azure)
  • Proficiency with Databricks, MLflow, Flink, or similar AI/ML/ML technologies
  • Experience with SQL, NoSQL, ElasticSearch, MongoDB, and Spark, Python, PySpark for model development and ML Ops
  • Knowledge of DevOps, MLOps principles and practices, and experience with version control systems (e.g., Git) and CI/CD pipelines.
  • Strong familiarity with higher level trends in LLMs and open-source platforms.
Responsibilities
  • Develop and implement AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency.
  • Responsible for the design and development of custom AI 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.
  • 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 business and PM stakeholders in roadmap planning and implementation efforts and ensure technical milestones align with business requirements.
  • Oversee the design of scalable and reliable infrastructure for AI, ML, GenAI, LLM model training and deployment.
  • Lead the architecture of GenAI, LLM, machine learning models deployment patterns in production environments, with design patterns that ensure reliability and scalability.
  • Create design of GenAI robust monitoring systems to track model performance, data quality, and infrastructure.
  • Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations.
  • Maintain comprehensive documentation of AI processes and procedures for reference and knowledge sharing.
  • Ensure the use of standards, governance and best practices in AI pipeline monitoring and ML model monitoring, and adherence to model and data governance standards.
  • Troubleshoot complex issues related to machine learning model deployments and data pipelines, and develop innovative solutions.
  • Serve as a thought leader in generative AI, influencing both technical strategy and executive-level decisions.
  • Build and scale production-ready AI systems that operate reliably at enterprise levels, ensuring long-term business impact.
  • Exceptional presentation skills to convey technical concepts to non-technical stakeholders.
  • Ability to adapt communication styles to various audiences, from engineers to business stakeholders and executive leadership.
  • Passion for staying ahead of AI trends and leveraging emerging technologies.
  • Strategic thinker and influencer with demonstrated technical and business acumen and problem-solving skills.
Desired Qualifications
  • Experience with contributing to Github and open source initiatives or in research projects.

S&P Global provides financial information and analytics to a wide range of clients, including investors, corporations, and governments. Its services include credit ratings, market intelligence, and indices, which help clients understand and navigate the global financial market. The company operates on a subscription-based model, along with licensing fees and transaction-based services, allowing clients to access valuable data and insights. S&P Global stands out from its competitors by offering a comprehensive suite of services through its key divisions, such as S&P Global Ratings and S&P Global Market Intelligence. The company's goal is to empower clients to make informed decisions, manage risks effectively, and promote growth while also committing to corporate responsibility and positive societal impact.

Company Size

10,001+

Company Stage

IPO

Total Funding

N/A

Headquarters

New York City, New York

Founded

1917

Simplify Jobs

Simplify's Take

What believers are saying

  • AI integration boosts S&P Global's data analytics and event detection capabilities.
  • Expansion in ESG solutions meets growing market demand for sustainability.
  • Direct indexing platforms offer personalized and tax-managed investing solutions.

What critics are saying

  • Emerging competition from AI-driven platforms like Quantifind challenges market position.
  • Integration of ProntoNLP may affect short-term operational efficiency.
  • Resource allocation to new ventures could impact existing operations.

What makes S&P Global unique

  • S&P Global integrates AI and NLP for enhanced data analytics capabilities.
  • The company offers comprehensive ESG solutions in private markets.
  • S&P Global's acquisition strategy strengthens its position in financial intelligence.

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Benefits

Health Insurance

Unlimited Paid Time Off

Professional Development Budget

401(k) Company Match

Family Planning Benefits

Employee Discounts

Company News

PR Newswire
Jan 16th, 2025
Quantifind Raises $22M for AI Compliance

Quantifind, a leader in AI-powered financial crime intelligence, raised $22 million from investors including Deloitte Ventures and Stephens Group. The funding will support the global expansion of its AI solutions and the launch of its Payments Risk Intelligence solution. Quantifind's Graphyte platform enhances transaction screening with advanced AI models, improving speed, accuracy, and scalability to combat financial crime and reduce false positives.

Investing.com
Jan 6th, 2025
S&P Global Acquires AI Firm ProntoNLP

S&P Global has acquired AI firm ProntoNLP to enhance its data analytics capabilities, integrating ProntoNLP's NLP and LLM tools into its Market Intelligence division for improved event detection and sentiment scoring. The deal closed on December 31, 2024, with undisclosed financial terms. S&P Global reported a 16% year-over-year revenue increase to $3.6 billion in Q3 2024, driven by an 80% surge in ratings division revenue. The company revised its 2024 revenue growth forecast to 11.5%-12.5%.

PR Newswire
Dec 20th, 2024
Brooklyn AI Research Secures Strategic Funding

Brooklyn Artificial Intelligence Research, parent of Brooklyn Investment Group, announced a strategic funding round led by Atypical Ventures, with participation from S&P Global Ventures and others. The funding will help scale Brooklyn's multi-asset direct indexing platform, which offers personalized and tax-managed investing solutions. The platform supports asset managers and RIAs, with a client base managing over $2 trillion in assets.

Breakit
May 24th, 2024
Doconomy säkrar nästan 400 miljoner – värderingen rasar

De låter kunderna veta vad varorna kostar, även för klimatet. Nu säkrar startupen Doconomy nästan 400 miljoner kronor genom rent kapital och kvittning av fordringar – och ser i samma veva värderingen falla tungt.

Business Wire
May 21st, 2024
Novata Announces New Investment To Expand Sustainability Solutions Globally

NEW YORK--(BUSINESS WIRE)--Novata, a certified B Corp with presence in the US, Europe, and Asia, today announced new financing from returning investors Hamilton Lane and SP Global, and new investor Motive Ventures, which is backed by affiliates of Apollo Global Management (“Apollo”). The capital will fuel further enhancements of Novata’s sustainability solutions and will support innovation as the company enters new geographies, reinforcing its commitment to advancing sustainable practices in private markets worldwide. Novata’s technology platform and expert services accelerates ESG data collection, simplifies carbon measurement and reporting, and helps companies respond to regulation. The newly secured funds will be directed towards the continuous development of Novata’s cutting-edge software platform to meet the evolving needs of the private markets, offer solutions tailored specifically for private companies, and support expansion to new geographies. Novata's platform is trusted and used by over 150 GPs in private equity, private credit, and venture capital, and approximately 7000 companies in all major geographies. Novata’s clients manage over $10 trillion in assets