MSCI Inc.

Vice President AI Engineering

MSCI Inc.$109K — $142K *
Information Technology
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 10+ years in software or AI engineering with large-scale AI systems oversight.
  • Proven expertise in large language model (LLM) deployment and multi-agent architectures.
  • Strong understanding of cloud-native AI infrastructure (Azure, GCP).
  • Experience with AI frameworks such as PyTorch, TensorFlow, LangChain.
  • Solid foundation in data engineering, model evaluation, MLOps, and system observability.
  • In-depth knowledge of conversational AI and dialog management.
  • Demonstrated success in building and mentoring diverse teams.

Responsibilities

  • Lead team to develop scalable conversational AI platforms and infrastructure.
  • Collaborate to convert business problems into engineering solutions.
  • Design architectures for data pipelines and multi-agent systems with cross-functional teams.
  • Cultivate a culture of innovation and responsible AI deployment.
  • Contribute to AI strategy aligning with product vision and growth priorities.
  • Architect and implement Conversational AI platform using Gen AI models and RAG techniques.
  • Oversee multi-modal interaction system design for performance and scalability.
  • Establish engineering standards and CI/CD pipelines for AI services.

Benefits

  • Flexible working arrangements and advanced technology.
  • A culture that promotes performance and innovation.
  • Access to global network of talented colleagues for support.
  • Comprehensive employee benefits focused on financial security, health, and wellbeing.
  • Career growth opportunities with multi-directional paths and internal mobility.
  • Ongoing learning through global orientation and tailored skill development programs.
  • Inclusive environment with various Employee Resource Groups.
Full Job Description
Your Team Responsibilities

Your Team Responsibilities
  • 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.
  • Partner with data, cloud, and security teams to design architectures for data pipelines and multi-agent orchestration.
  • Foster a culture of technical excellence, innovation, and responsible AI deployment across all teams and initiatives.
  • Contribute to the overall AI strategy, ensuring alignment with product vision, compliance requirements, and business growth priorities.


Your Key Responsibilities

  • 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.
  • 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 cross-functional innovation to deliver differentiating features such as adaptive personas, context memory, and trust/safety filters.
  • Manage vendor relationships, platform partnerships, and cloud optimization for large-scale AI workloads.


Your skills and experience that will help you excel

  • 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.
  • 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.
  • Advanced degree (PhD or MSc) in Computer Science, Machine Learning, or a related technical discipline preferred.


What we offer you

  • Salary range: $109,000 - $142,000 / year plus eligible for annual bonus
  • 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[redacted] 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.

About MSCI Inc.

MSCI Inc. is a leading provider of investment decision support tools and services to investors globally. The company offers a range of products and services including indexes, analytics, and data to help investors make better investment decisions. MSCI Inc. was founded in 1998 and is headquartered in New York, New York. The company has operations in more than 30 countries and serves clients in over 100 countries. MSCI Inc. is a publicly traded company and is listed on the New York Stock Exchange under the ticker symbol MSCI.
Learn more about MSCI Inc.
Size
4,361 employees
Market Cap
$36.6 billion
Industry
Net Income
$601.8 million
Founded
1998
5 Year Trend
+12.2%
Revenue
$1.6 billion
NASDAQ

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