AI Engineer - Private Assets

MSCINew York, NY
$125,000 - $205,000Hybrid

About The Position

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.

Requirements

  • Proven expertise in deploying and optimizing large language models and multi-agent architectures.
  • Solid understanding of cloud-native AI infrastructure (Azure, GCP) with hands-on knowledge of distributed inference pipelines.
  • Experience with frameworks such as PyTorch, TensorFlow, LangChain, Langflow, etc.
  • Strong grounding in data engineering, model evaluation, MLOps, and system observability.
  • Deep knowledge of conversational AI, dialog management, and human-in-the-loop design.
  • Demonstrated success in building and mentoring diverse AI and engineering teams.
  • Architected and implemented the Conversational AI platform using Gen AI models, semantic search and retrieval-augmented generation (RAG) techniques.
  • Lead the evaluation and integration of state-of-the-art LLMs and open frameworks for inference, and orchestration.
  • Built continuous learning and feedback systems using real-world conversational data for model improvement.
  • Established engineering standards, experimentation frameworks, and CI/CD pipelines for Gen AI services.

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 productivity by using AI agents to automate tasks

Benefits

  • Transparent compensation schemes and comprehensive employee benefits, tailored to your location, ensuring your financial security, health, and overall wellbeing.
  • Flexible working arrangements, advanced technology, and collaborative workspaces.
  • A culture of high performance and innovation where we experiment with new ideas and take responsibility for achieving results.
  • A global network of talented colleagues, who inspire, support, and share their expertise to innovate and deliver for our clients.
  • Global Orientation program to kickstart your journey, followed by access to our Learning@MSCI platform, AI Learning Center , LinkedIn Learning Pro and tailored learning opportunities for ongoing skills development.
  • Multi-directional career paths that offer professional growth and development through new challenges, internal mobility and expanded roles.
  • We actively nurture an environment that builds a sense of inclusion belonging and connection, including eight Employee Resource Groups. All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum.
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