S&P Global · 17 hours ago
AI Technical Architect
New York, NY
Full-time
Onsite
Senior Level, Lead/Staff
$150K/yr - $230K/yr
8+ years expS&P Global is a leading provider of credit ratings and analytics, seeking an AI Technical Architect to enhance their AI capabilities within the Data Science Center of Excellence. The role involves developing AI architecture strategies, collaborating with various teams to implement AI solutions, and ensuring compliance with security standards.
AnalyticsBusiness IntelligenceCreditEnterprise SoftwareFinanceFinancial ServicesInformation ServicesMarket Research
No H1B
Responsibilities
AI Architecture Strategy: Develop and implement AI architecture strategies, best practices, and standards to enhance AI ML model deployment and monitoring efficiency. Create architecture roadmaps and strategies for AI platforms and technology stacks
ML Architecture Design and Development: Design and develop custom AI architecture for batch and stream processing-based AI ML pipelines, including data ingestion, preprocessing, and scaled AI model computation, ensuring all service level agreements (SLAs) are met. Collaborate with technology and business teams in the design, development, and implementation of enterprise AI platforms
Internal Collaboration: Work closely with data scientists, machine learning engineers, and software engineers to ensure smooth integration of machine learning models into production systems
Stakeholder Engagement and Collaboration: Collaborate with business and project management stakeholders in roadmap planning and implementation efforts, ensuring technical milestones align with business requirements
AI Infrastructure Architecture: Oversee the design of scalable and reliable infrastructure for AI, ML, and model training and deployment
AI Model Deployment Architecture: Lead the architecture of AI model deployment patterns in production environments, ensuring reliability and scalability
AI Monitoring Architecture: Design robust monitoring systems to track model performance, data quality, and infrastructure
Security and Compliance: Implement security measures and compliance standards to protect sensitive data and ensure adherence to industry regulations
Documentation: Maintain comprehensive documentation of AI processes and procedures for reference and knowledge sharing
Standards and Best Practices: Ensure the use of standards, governance, and best practices in AI pipeline monitoring and ML model monitoring, adhering to model and data governance standards
Problem Solving: Troubleshoot complex issues related to machine learning model deployments and data pipelines, developing innovative solutions
Thought Leadership: Serve as a thought leader in generative AI, influencing both technical strategy and executive-level decisions
System Development: Build and scale production-ready AI systems that operate reliably at enterprise levels, ensuring long-term business impact
Communication: Exhibit exceptional presentation skills to convey technical concepts to non-technical stakeholders and adapt communication styles to various audiences
Passion and Strategic Thinking: Stay ahead of AI trends and leverage emerging technologies. Demonstrate strategic thinking and influence with technical and business acumen and problem-solving skills
Occasional travel may be required
Qualification
Required
Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Experienced professional (8+ years) as an ML engineer, architect, or lead data scientist in a distributed or cloud platform environment, with a desire to assume greater responsibilities as a leader and mentor, while remaining hands-on
4+ years of hands-on experience in ML architecture design and implementation for large-scale enterprise AI solutions and AI products
Experience with business and product stakeholder engagement, collaborating on AI roadmap planning and implementation efforts
Experience working in Agile frameworks and delivery methods
Expertise in designing and developing complex data-driven architectures for distributed computing and orchestration technology
Experience with cloud platform and system architectures
Proficiency with technologies for model development and ML operations
Knowledge of DevOps, MLOps principles and practices, and experience with version control systems and CI/CD pipelines
Strong familiarity with trends in AI and related platforms
Preferred
Experience contributing to research projects or similar initiatives
Benefits
Health & Wellness: Health care coverage designed for the mind and body.
Flexible Downtime: Generous time off helps keep you energized for your time on.
Continuous Learning: Access a wealth of resources to grow your career and learn valuable new skills.
Invest in Your Future: Secure your financial future through competitive pay, retirement planning, a continuing education program with a company-matched student loan contribution, and financial wellness programs.
Family Friendly Perks: It’s not just about you. S&P Global has perks for your partners and little ones, too, with some best-in class benefits for families.
Beyond the Basics: From retail discounts to referral incentive awards—small perks can make a big difference.
Company
S&P Global
S&P Global is a market intelligence company that provides financial information and data analytics services.
10001+ employees
Funding
Current Stage
Public CompanyTotal Funding
$1.75B2025-12-01Post Ipo Debt· $1B
2023-09-07Post Ipo Debt· $750M
2016-04-28IPO
Leadership Team
Martina Cheung
President and CEO
Rick Goldberg
Division Chief Financial Officer
Recent News
2026-01-23
Benzinga.com
2026-01-23
2026-01-22
Company data provided by crunchbase