AI Engineering, Vice President

Your Team Responsibilities

We're seeking an exceptional Principal AI Engineer to join our AI team and shape the development of cutting-edge solutions that address MSCI's most complex analytical challenges. In this role, you'll architect and implement advanced AI systems that transform how global investors make critical decisions by providing sophisticated insights across financial markets, risk assessment, and portfolio analytics. The ideal candidate brings deep expertise in AI/ML, proven experience in delivering enterprise-scale AI solutions, and a passion for leveraging technology to solve multifaceted problems in the financial data ecosystem.

As a senior individual contributor, you'll work closely with cross-functional teams to design innovative AI-powered platforms that process vast amounts of heterogeneous data, generate actionable insights, and enable data-driven decision-making at scale. You'll serve as a technical expert, establishing best practices and driving the adoption of state-of-the-art AI technologies while ensuring our solutions meet the rigorous standards required by institutional investors globally.

This role offers the unique opportunity to work on diverse, high-impact AI applications that shape how the world's largest financial institutions understand and navigate complex market dynamics.

Your Key Responsibilities

• Design and implement enterprise-scale AI architectures for processing and analyzing complex, multi-dimensional financial and alternative data
• Architect end-to-end ML pipelines that handle multi-modal data sources including structured market data, unstructured documents, and real-time feeds
• Develop advanced NLP systems for extracting and validating critical metrics from millions of documents, reports, and regulatory filings
• Apply cutting-edge AI techniques (including LLMs, computer vision, and deep learning) to solve MSCI's diverse AI use cases
• Implement MLOps best practices and automated systems for model deployment, monitoring, and continuous improvement across multiple product lines
• Collaborate with product teams and domain experts to translate complex requirements into scalable technical solutions
• Provide technical guidance and mentorship to other engineers on AI/ML best practices and architectural decisions
• Partner with MSCI Research teams to advance the state of AI applications in financial analytics
• Drive technical excellence through code reviews, design documentation, and knowledge sharing across the organization
• Help improve AI Engg team's productivty by using AI agents to automate tasks

Your skills and experience that will help you excel

• 10+ years of experience building and deploying AI/ML systems at scale, with deep hands-on technical expertise
• Expert-level proficiency in modern AI/ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Flink, Beam, Spark, Ray)
• Proven track record of architecting and delivering enterprise AI platforms handling large scale data
• Advanced knowledge of NLP, computer vision, and time-series analysis techniques with practical application experience
• Experience with financial data, risk modeling, or quantitative analytics is highly desirable
• Expertise in building real-time streaming architectures using technologies like Kafka, Flink, or Beam
• Strong foundation in MLOps practices including model versioning, A/B testing, and automated retraining pipelines
• Proficiency in cloud platforms (GCP, Azure) and containerization technologies (Docker, Kubernetes)
• Excellent technical communication skills with ability to present complex AI concepts to diverse stakeholders
• Track record of publishing research or speaking at conferences on AI/ML topics
• Passion for solving complex analytical challenges and using technology to drive innovation in financial markets