AI Engineer - Associate

Your Team Responsibilities:

MSC! Data Tech - Data Science is a central team responsible for building and managing data-centric and AI-driven applications and capabilities that support all major business verticals across the firm, including ESG, Index, Analytics, and Real Estate. The team enables high-quality financial decision-making by delivering scalable, reliable, and compliant AI solutions used by some of the world's largest financial services organizations.

We are seeking AI Engineers at Associate and Senior Associate levels to support MSCI's AI adoption journey, with a focus on machine learning, NLP, GenAI, LLMs, and agentic AI systems. These roles are hands-on and engineering-focused, centered on building, integrating, and operationalizing AI capabilities across internal platforms and client-facing products.

Your Key Responsibilities:

AI & Data Science Application Development

Design, develop, and maintain data science and AI-driven applications that support multiple MSCI business lines.

Implement machine learning, NLP, and GenAI solutions that move from experimentation to production.

Build and integrate LLM-powered capabilities such as retrieval-augmented generation (RAG), summarization, classification, extraction, and reasoning into enterprise platforms.

GenAI, LLMs & Agentic AI

Develop and enhance solutions using LLMs, LangChain, LangGraph, and agentic AI frameworks.

Apply best practices in prompt engineering, orchestration, evaluation, and monitoring to ensure consistent, reliable AI outputs.

Work with structured and unstructured data, including text processing, embeddings, and vector-based retrieval.

Platform Integration & Cross-Functional Collaboration

Support teams across Data, Technology, and Engineering to integrate AI services with MSCI's data science platforms and AP!s.

Engage with content expert teams to understand MSCI datasets, data delivery platforms, and business workflows.

Collaborate closely with Product Management, Quality Assurance, Data Operations, and IT Infrastructure across all stages of the development lifecycle.

Production Readiness & Engineering Excellence

Ensure AI solutions meet enterprise standards for scalability, performance, reliability, and maintainability.

Follow strong software engineering best practices, including test-driven development, code reviews, refactoring, and clean system design.

Contribute to CI/CD pipelines and DevOps processes to enable continuous integration, deployment, and monitoring of AI

systems.

AI Governance, Risk & Compliance

Ensure AI and GenAI solutions comply with MSCI's data governance, security, and responsible AI standards.

Implement controls to support model transparency, traceability, auditability, and reproducibility, especially for LLM-based systems.

Apply guardrails to mitigate hallucinations, bias, data leakage, and misuse in AI outputs.

Ensure appropriate handling of confidential, sensitive, and regulated data in accordance with firm policies.

Partner with Risk, Legal, Compliance, and Information Security teams to support reviews, audits, and regulatory requirements related to AI systems.

Your skills and experience that will help you excel:

Required

4-7 years of relevant experience in data science, AI engineering, or applied machine learning

Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related quantitative

Strong hands-on experience in

Solid foundation in machine learning, NLP, and statistical modeling, including data exploration and

Hands-on experience or projects involving LLMs, LangChain, LangGraph, RAG, or agentic AI

Experience delivering Al/ML solutions into production

Understanding of text processing and unstructured

Knowledge of software engineering best practices (TDD, refactoring, modular design, version control).

Strong analytical, problem-solving, and communication

Self-motivated, proactive, and delivery-oriented

Preferred/Nice to Have

Experience with cloud platforms, particularly Azure or Google Cloud Platform (GCP).

Familiarity with DevOps tools and Cl/CD

Understanding of data governance, responsible AI, or model risk management

Prior experience in financial services or other regulated

About MSCI:

What we offer you

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.

At MSCI we are passionate about what we do, and we are inspired by our vision – to power better decisions. You’ll be part of an industry-leading network of creative, curious, and entrepreneurial pioneers. This is a space where you can challenge yourself, set new standards and perform beyond expectations for yourself, our clients, and our industry.

MSCI strengthens global markets by connecting participants across the financial ecosystem with a common language. Our research-based data, analytics and indexes, supported by advanced technology, set standards for global investors and help our clients understand risks and opportunities so they can make better decisions and unlock innovation. We serve asset managers and owners, private-market sponsors and investors, hedge funds, wealth managers, banks, insurers and corporates.

To all recruitment agencies

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