Software Engineer – AI

Your Team Responsibilities

You will be part of the team building the platforms that power sustainability and climate investment decisions for some of the world's largest asset managers and asset owners. The work is hands-on and high-impact: designing and shipping cloud-native data pipelines, modernizing legacy systems into distributed, resilient architectures capable of processing ESG and climate datasets at scale.

You will own meaningful pieces of the stack — from pipeline architecture and deployment to observability and reliability — working closely with Product, Data Operations, QA, and Infrastructure to deliver systems that meet real client SLAs in a regulated environment. AI-driven workflows are increasingly central to how the team operates, and you will build toward that future directly, not observe it from the sidelines.

This is a team that is actively raising its engineering bar — investing in better deployment pipelines, stronger platform architecture, and smarter developer tooling. For an early-career engineer, that means learning by doing, growing fast, and seeing your work reach clients at global scale.

Your Key Responsibilities

• Design, build, and own AI/ML pipelines that automate sustainability data ingestion, validation, and quality assurance workflows — processing millions of ownership and revenue data points across 64,000+ issuers globally.
• Develop and deploy cloud-native services on AWS, Azure, or GCP using Python, translating complex financial screening methodologies into scalable, production-grade systems.
• Architect and maintain distributed data pipelines that ingest structured and unstructured data from global financial data providers, applying automated rules to compute screening flags at scale.
• Build and tune AI models that reduce manual analyst effort, improve data consistency, and enable coverage of issuer universes that are not reachable through human-only workflows.
• Implement robust QA automation, validation logic, and override mechanisms to ensure data integrity in a client-facing, regulated environment where accuracy directly influences investment decisions.
• Collaborate with Data Scientists, Product Managers, and Data Operations to translate methodology requirements into reliable engineering solutions.
• Contribute to platform observability, deployment pipelines, and engineering standards that keep production systems stable, performant, and secure at scale.
• Continuously improve your understanding of AI-driven data engineering — growing from owning discrete pipeline components toward end-to-end system design as the platform scales.

Your skills and experience that will help you excel

• 2–6 years of hands-on software engineering experience, with a track record of building and shipping production systems — not just prototypes.
• Strong Python proficiency — you write clean, maintainable, production-grade code and are comfortable owning it end-to-end.
• Applied AI/ML experience — you have built, trained, or deployed machine learning models in a real-world context. Familiarity with frameworks such as PyTorch, TensorFlow, HuggingFace, or LangChain is a strong plus.
• Cloud engineering fluency — hands-on experience designing and deploying services on AWS, Azure, or GCP, including managed data and compute services.
• Data pipeline and distributed systems thinking — you understand how large-scale data flows through a system, and can design pipelines that are reliable, observable, and built to scale.
• QA and validation mindset — you care about data correctness and build automated checks, not just features. Experience with QA automation frameworks is an advantage.
• Comfort with ambiguity — you can take a loosely defined problem, ask the right questions, and drive toward a well-engineered solution without waiting to be told every step.
• Curiosity about AI-driven workflows — you follow where the field is going and want to build systems that put AI to work, not just systems that support people doing manual work.

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.

MSCI Inc. is an equal opportunity employer. It is the policy of the firm to ensure equal employment opportunity without discrimination or harassment on the basis of race, color, religion, creed, age, sex, gender, gender identity, sexual orientation, national origin, citizenship, disability, marital and civil partnership/union status, pregnancy (including unlawful discrimination on the basis of a legally protected parental leave), veteran status, or any other characteristic protected by law. MSCI is also committed to working with and providing reasonable accommodations to individuals with disabilities. If you are an individual with a disability and would like to request a reasonable accommodation for any part of the application process, please email Disability.Assistance@msci.com and indicate the specifics of the assistance needed. Please note, this e-mail is intended only for individuals who are requesting a reasonable workplace accommodation; it is not intended for other inquiries.

 

To all recruitment agencies

MSCI does not accept unsolicited CVs/Resumes. Please do not forward CVs/Resumes to any MSCI employee, location, or website. MSCI is not responsible for any fees related to unsolicited CVs/Resumes.

 

Note on recruitment scams

We are aware of recruitment scams where fraudsters impersonating MSCI personnel may try and elicit personal information from job seekers. Read our full note on careers.msci.com