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MSCI Careers
AI Engineer
MSCI Careers
Mumbai•On-site•4-7 Yrs•2 days ago
Job description
AIData ScienceGenAILLMAgentic AINLPML ProductionEnterprise AIComplianceRisk Management
Overview
MSCI seeks AI Engineers at Associate and Senior Associate levels to build, integrate, and operationalize AI capabilities across internal platforms and client-facing products. Focus areas include machine learning, NLP, GenAI, LLMs, and agentic AI systems.
Responsibilities
- Design, develop, and maintain data science and AI-driven applications supporting multiple business lines
- Implement machine learning, NLP, and GenAI solutions transitioning from experimentation to production
- Build and integrate LLM-powered capabilities such as RAG, summarization, classification, extraction, and reasoning into enterprise platforms
- Develop and enhance solutions using LLMs, LangChain, LangGraph, and agentic AI frameworks
- Apply best practices in prompt engineering, orchestration, evaluation, and monitoring for reliable AI outputs
- Work with structured and unstructured data including text processing, embeddings, and vector-based retrieval
- Support teams across Data, Technology, and Engineering to integrate AI services with MSCI's platforms and APIs
- Engage with content expert teams to understand datasets and workflows
- Collaborate closely with Product Management, QA, Data Operations, and IT Infrastructure
- Ensure AI solutions meet enterprise standards for scalability, performance, reliability, and maintainability
- Follow strong software engineering best practices including TDD, code reviews, refactoring, and clean system design
- Contribute to CI/CD pipelines and DevOps processes for continuous integration, deployment, and monitoring of AI systems
- Ensure AI and GenAI solutions comply with data governance, security, and responsible AI standards
- Implement controls supporting model transparency, traceability, auditability, and reproducibility
- Apply guardrails to mitigate hallucinations, bias, data leakage, and misuse in AI outputs
- Ensure appropriate handling of confidential, sensitive, and regulated data per firm policies
- Partner with Risk, Legal, Compliance, and Information Security teams for reviews, audits, and regulatory requirements
Qualifications
- 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 field
- Solid foundation in machine learning, NLP, and statistical modeling including data exploration
- Hands-on experience or projects involving LLMs, LangChain, LangGraph, RAG, or agentic AI
- Experience delivering AI/ML solutions into production
- 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
Nice to have
- Experience with cloud platforms, particularly Azure or Google Cloud Platform (GCP)
- Familiarity with DevOps tools and CI/CD
- Understanding of data governance, responsible AI, or model risk management
- Prior experience in financial services or other regulated environments
Education
- Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, or related quantitative field
Benefits
- Transparent compensation schemes and comprehensive employee benefits tailored to location
- Flexible working arrangements
- Advanced technology and collaborative workspaces
- Culture of high performance and innovation with experimentation and accountability
- Global network of talented colleagues inspiring innovation and client delivery
- Global Orientation program followed by access to Learning@MSCI platform, AI Learning Center, LinkedIn Learning Pro, and tailored learning opportunities
- Multi-directional career paths offering professional growth through challenges, internal mobility, and expanded roles
- Inclusive environment with eight Employee Resource Groups including All Abilities, Asian Support Network, Black Leadership Network, Climate Action Network, Hola! MSCI, Pride & Allies, Women in Tech, and Women’s Leadership Forum