Senior AI Engineer

Job description

## 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, 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 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 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** - 3–8 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, LangChain, LangGraph, 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 / Nice to Have** - Experience with cloud platforms, particularly Azure or Google Cloud Platform (GCP). - Familiarity with DevOps tools and CI/CD pipelines. - Understanding of data governance, responsible AI, or model risk management concepts. - Prior experience in financial services or other regulated environments. ## 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 i