Vice President AI Engineering

MSCI
New York, NY
Job Description
Role Overview

Build and lead a high-performing team focused on developing scalable conversational AI platform and related infrastructure. Collaborate with research scientists, product managers, and design leaders to translate business problems into structured engineering solution. Foster a culture of technical excellence, innovation, and responsible AI deployment across all teams and initiatives.

What You Will Do

Architect and implement the Conversational AI platform using Gen AI models, semantic search and retrieval-augmented generation (RAG) techniques. Oversee system design for multi-modal interactions (text, voice, vision) ensuring performance, scalability, and cost efficiency.

Why It Might Be a Fit

10+ years of software or AI engineering experience, with expertise in overseeing large-scale AI systems. Proven expertise in deploying and optimizing large language models and multi-agent architectures.

Requirements

  • 10+ years of software or AI engineering experience
  • Expertise in overseeing large-scale AI systems
  • Proven expertise in deploying and optimizing large language models and multi-agent architectures
  • Solid understanding of cloud-native AI infrastructure (Azure, GCP)
  • 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
  • Advanced degree (PhD or MSc) in Computer Science, Machine Learning, or a related technical discipline

Benefits

  • Salary range: $109,000 - $142,000 / year plus eligible for annual bonus
  • Transparent compensation schemes
  • Comprehensive employee benefits
  • Flexible working arrangements
  • Advanced technology
  • Collaborative workspaces
  • Global Orientation program
  • Learning@MSCI platform
  • AI Learning Center
  • LinkedIn Learning Pro
  • Tailored learning opportunities
  • Multi-directional career paths
  • Professional growth and development
  • Employee Resource Groups
  • Inclusion, belonging, and connection
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