We’re looking for a Senior AI Engineer to join our AI team, where you’ll design and develop highly scalable, robust systems that drive our AI initiatives and data operations. Success in this role depends on strong software engineering skills, familiarity with large-scale distributed systems, and expertise in AI technologies. Our ideal candidate has a proven ability to build reliable platforms (rather than standalone applications) and to iterate effectively over multiple release cycles.
While AI experience isn a required, you should also be enthusiastic about software engineering, and building scalable platforms and cloud services. A significant aspect of the job involves collaborating with cross-functional teams to translate complex requirements into scalable, efficient code, with responsibilities including the implementation and maintenance of software infrastructure for our AI platform. You’ll regularly work alongside AI specialists, domain leads, and other engineering teams.
Throughout your work, you’ll apply best practices in software engineering and system architecture. If you’re passionate about delivering high-impact AI solutions in a dynamic environment, this is an exciting opportunity to have a substantial influence on our AI capabilities through your expertise.
Design and implement scalable distributed systems
Architect solutions that can handle large volumes of data for real-time and batch processing
Design and develop efficient AI pipelines with automation and reliability across the platform
Integrate agentic workflows and AI agents into data extraction processes, and enable systems to perform multi-step reasoning and tool usage to improve accuracy and efficiency of data extraction.
Deploy, monitor, and maintain the LLM-based extraction systems in production, ensuring reliability and scalability. Set up appropriate monitoring, logging, and evaluation metrics to track performance, and perform continual tuning and improvements based on human in the loop feedback.
Conduct applied research and experimentation with the latest generative AI models and techniques to enhance extraction capabilities. Prototype new approaches and iterate quickly to integrate successful methods into the production pipeline.
Collaborate with cross-functional teams (data engineers, product managers, domain experts) to gather requirements, align AI solutions with business needs.
4-5 years of experience in applied AI or machine learning engineering, with a track record of building and deploying AI solutions (especially in NLP).
Hands-on experience with using Generative AI models and APIs/frameworks (e.g., OpenAI GPT-4, Google Gemini). Ability to build Agentic AI systems where LLMs interact with tools or perform multi-step workflows.
Proficiency in Python (preferred) and experience deploying machine learning models or pipelines at scale.
Good understanding of embeddings, LLM models and experience with retrieval-augmented generation (RAG) workflows to incorporate external knowledge into LLM-based systems.
Knowledge of LLMOps and cloud services (Azure, GCP, or similar) for deploying and managing AI solutions. Experience with containerization, orchestration, and monitoring of ML models in a production cloud environment.
Excellent collaboration and communication skills, with the ability to work effectively in a team, translate complex technical concepts to non-technical stakeholders, and document work clearly.
What we offer you
At MSCI we are passionate about what we do, and we are inspired by our purpose – to power better investment 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 is a leading provider of critical decision support tools and services for the global investment community. With over 50 years of expertise in research, data, and technology, we power better investment decisions by enabling clients to understand and analyze key drivers of risk and return and confidently build more effective portfolios. We create industry-leading research-enhanced solutions that clients use to gain insight into and improve transparency across the investment process.
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
Software Powered by iCIMS
www.icims.com