Vice President AI Engineering

MSCI

Confirmed live 10 days ago High trust

Quick summary

Work type
On-site
Location
New York, NY
Salary
$109,000–$142,000 / yr
Posted
10 days ago
Freshness
Confirmed live 10 days ago

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $212k
This role $126k
$91k most similar roles pay here $281k

This role pays less than 96% of similar roles. Most pay $162,000–$262,754 — the shaded band above. At the midpoint, this role pays about $126k versus about $212k for comparable roles.

Based on 240 similar postings.

Employer

About MSCI

MSCI is a US-based provider of investment decision support tools, including equity indexes, portfolio risk and performance analytics, and ESG research used by institutional investors worldwide.

MSCI currently has 14 open roles on FindRole.

Listed pay typically runs $195,000–$250,000 across 14 roles with salary data.

Most-posted roles

View all roles at MSCI

At a glance

TL;DR · Vice President AI Engineering

As the Vice President AI Engineering, you will lead a high-performing team focused on developing a scalable conversational AI platform and its underlying infrastructure. You will collaborate with research scientists, product managers, and design leaders to translate business problems into engineering solutions while partnering with data, cloud, and security teams to design architectures for data pipelines and multi-agent orchestration. Your daily work involves architecting systems using Gen AI models, semantic search, and retrieval-augmented generation (RAG) techniques to support multi-modal interactions across text, voice, and vision. You will manage the integration of state-of-the-art LLMs and open frameworks while establishing CI/CD pipelines and MLOps standards. Required expertise includes PyTorch, TensorFlow, LangChain, Langflow, and cloud-native infrastructure on Azure or GCP to solve complex problems in dialog management and large-scale AI workloads.

What you'll do

  • Build and lead a high-performing team focused on developing scalable conversational AI platforms and infrastructure.
  • Architect and implement Conversational AI systems using Gen AI models, semantic search, and RAG techniques.
  • Oversee system design for multi-modal interactions to ensure performance, scalability, and cost efficiency.
  • Lead the evaluation and integration of state-of-the-art LLMs and open frameworks for inference and orchestration.
  • Build continuous learning and feedback systems using real-world conversational data for model improvement.
  • Establish engineering standards, experimentation frameworks, and CI/CD pipelines for Gen AI services.
  • Drive innovation to deliver features like adaptive personas, context memory, and trust/safety filters.
  • Manage vendor relationships, platform partnerships, and cloud optimization for large-scale AI workloads.

What we're looking for

  • 10+ years of software or AI engineering experience overseeing large-scale AI systems.
  • Proven expertise in deploying and optimizing large language models and multi-agent architectures.
  • Proficiency with cloud-native AI infrastructure (Azure, GCP) and distributed inference pipelines.
  • Experience with frameworks such as PyTorch, TensorFlow, LangChain, and Langflow.
  • 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.
  • An advanced degree (PhD or MSc) in Computer Science, Machine Learning, or a related technical discipline is preferred.

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