Senior AI Engineer

This job is with MSCI, an inclusive employer and a member of my Gwork – the largest global platform for the LGBTQ+ business community. Please do not contact the recruiter directly.

Your Team Responsibilities: MSCI  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, Lang Chain, Lang Graph, 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 APIs.
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 Dev Ops 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 roles.
Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or a related quantitative field.
Strong hands-on experience in Python.
Solid foundation in machine learning, NLP, and statistical modeling, including data exploration and visualization.
Hands-on experience or projects involving LLMs, Lang Chain, Lang Graph, RAG, or agentic AI systems.
Experience delivering AI/ML solutions into production environments.
Understanding of text processing and unstructured data.
Knowledge of software engineering best practices (TDD, refactoring, modular design, version control).
Strong analytical, problem-solving, and communication skills.
Self-motivated, proactive, and delivery-oriented mindset.
Preferred /…