AI Engineer – Agentic AI & Intelligent Systems Job Reference: 2026-4895 Location: Mumbai Category: Technology Solution: Other Role Category: Hybrid Apply AI Engineer – Agentic AI & Intelligent Systems Share Your Team Responsibilities

As a senior member of the technology team, this role will be responsible for establishing, scaling, and enabling AI capabilities across MSCI. The responsibilities span architecture, delivery, enablement, and governance, with a strong focus on practical, production-ready outcomes.

AI Architecture & Solution Design

Design and implement enterprise-grade AI solutions leveraging Agentic AI, Retrieval-Augmented Generation (RAG), and AI orchestration frameworks, aligned with MSCI’s technology standards.

Define reference architectures, patterns, and best practices for integrating AI into existing platforms and applications.

Ensure AI solutions are scalable, secure, resilient, and compliant with enterprise requirements.

AI Platform & Framework Enablement

Build and maintain reusable AI components, frameworks, and accelerators to reduce duplication across teams.

Evaluate and recommend AI tools, models, and platforms based on performance, cost, and suitability for enterprise use.

Support the adoption of MCP servers, model orchestration, and multi-agent systems where appropriate.

Delivery Acceleration & Proof of Concepts

Lead AI proof-of-concepts and pilots, transitioning successful initiatives into production-ready solutions.

Partner with product owners, architects, and engineering teams to embed AI capabilities into projects in the pipeline.

Provide hands-on support during critical delivery phases to ensure milestones are met.

Developer Enablement & Mentorship

Mentor and upskill developers on AI concepts, tools, and implementation patterns.

Enable teams to transition from traditional application development to AI-augmented and AI-driven solutions.

Promote a culture of responsible and efficient AI usage across the organization.

Governance, Risk, and Responsible AI

Establish guardrails for responsible AI usage, including data handling, model selection, and validation.

Work with security, risk, and compliance teams to ensure AI solutions meet regulatory and audit expectations.

Identify and mitigate risks such as hallucinations, bias, and data leakage.

Stakeholder Collaboration & Advisory

Act as a trusted AI advisor to technology and business stakeholders.

Translate business problems into AI-enabled solution approaches.

Provide technical guidance to leadership on AI feasibility, risks, and delivery impact.

Your Key Responsibilities

Lead the design and implementation of enterprise-grade AI solutions, with a strong focus on Agentic AI, Retrieval-Augmented Generation (RAG), model orchestration, and MCP server–based architectures.

Act as the primary AI subject matter expert, guiding teams from idea and proof-of-concept through production deployment.

Define and maintain AI reference architectures, design patterns, and reusable frameworks to accelerate delivery and ensure consistency across projects.

Partner with product, architecture, and engineering teams to embed AI capabilities into applications and platforms in the delivery pipeline.

Evaluate, select, and integrate AI models, tools, and platforms, balancing performance, scalability, cost, and enterprise constraints.

Establish and enforce responsible AI practices, including governance, security, data privacy, and risk mitigation.

Mentor and enable developers to adopt AI technologies, lowering the learning curve and increasing overall team productivity.

Support the migration of traditional solutions to AI-enabled architectures, ensuring minimal disruption to ongoing deliveries.

Collaborate with stakeholders to translate business problems into practical, AI-driven solutions.

Contribute to long-term AI strategy by identifying opportunities where AI can improve efficiency, automation, and insight generation.

Apply data engineering concepts (e.g., data pipelines, data quality, feature preparation, integrations with data platforms) to support AI solutions where required.

Your skills and experience that will help you excelCore (Must-Have) AI Expertise

Proven, hands-on experience designing and delivering AI solutions in real-world or enterprise environments.

Strong expertise in Agentic AI architectures, including multi-agent systems, tool-calling, planning, and orchestration patterns.

Deep understanding and practical experience with Retrieval-Augmented Generation (RAG), including document ingestion, embedding strategies, vector databases, retrieval optimization, and grounding techniques.

Experience working with model orchestration frameworks and MCP server–based architectures to enable scalable and modular AI systems.

Strong knowledge of LLMs, prompt engineering, evaluation techniques, and strategies to mitigate hallucinations and performance issues.

Experience moving AI solutions from proof-of-concept to production, including monitoring, performance tuning, and lifecycle management.

Engineering & Platform Skills

Strong software engineering fundamentals, with experience building scalable, maintainable, and secure services.

Experience integrating AI capabilities into existing applications, APIs, and enterprise platforms.

Familiarity with cloud-based AI services and deployment patterns.

Data Engineering (Good to Have)

Working knowledge of data engineering concepts, including data pipelines, data quality, transformations, and integration with analytical platforms.

Experience preparing and managing data for AI use cases, such as feature preparation, document processing, and data validation.

Understanding of how data architecture decisions impact AI performance and reliability.

Governance, Security, and Responsible AI

Experience implementing responsible AI practices, including data privacy, access controls, auditability, and model governance.

Ability to assess and mitigate risks related to bias, hallucinations, and misuse of AI systems in enterprise environments.

Collaboration, Leadership, and Enablement

Ability to act as a technical leader and mentor, enabling teams to adopt AI technologies effectively.

Strong communication skills to translate complex AI concepts into clear, actionable guidance for both technical and non-technical stakeholders.

Experience influencing architecture and technology decisions without direct authority.

A mindset focused on reuse, standardization, and long-term sustainability.

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

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Harness next-generation technologies to drive innovation and help our clients build better portfolios.

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Quotes from Eva Szadeczky-Kardoss, Nelson Villarreal, Andrea Shalanski

“I learn something new every day, if not about technology then about climate or finance.

I came for the software engineering challenge, but I stayed for the chance to make a difference to our climate.

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“I’m the kind of person who doesn’t wait for the ticket to come in.

Nelson Villarreal Technology View Profile

“Our Women in Tech community is a huge network, which means you can connect with people you don’t traditionally get to connect with.

And that’s so important, because visibility and community are essential for helping women in technology figure out their path to success.

Andrea Shalanski Technology View Profile Benefits

MSCI is committed to providing a competitive benefit package to you and, where applicable, your family. 

National Pension System (NPS) Voluntary Provident Fund (VPF)  Provident Fund Daycare benefit (creche)  Pregnancy care program / Maternity kit Pet Care Healthcare benefits, including: Health, accident and life insurance  Emergency Ambulance service  Health checkup  Tele-Medicine  Inclusive Health & Wellbeing benefits Development opportunities

At MSCI career paths are multi-directional, and we believe that new and challenging experiences drive both professional growth and business success.

Everyone here is responsible for leading their own development and we’re here to support and guide you every step of the way. Whether that means deepening your expertise, moving across teams, or stepping into leadership, you’ll have access to internal mobility, learning and skills development, stretch opportunities and mentoring. 

Discover more about how you can grow your career at MSCI

Mumbai

12th Floor
Nesco IT Building No. 3, Nesco IT Park
Nesco Complex
Goregaon (East)
Mumbai 400063
India

 

MSCI has been named as one of LinkedIn's Top Companies 2025 in India. Learn more about this recognition.

Our LEED-certified Mumbai office is in the Nesco IT park, with amazing views of the Aarey forest and good connections to both public transport and the highway. As the largest MSCI office, a wide variety of teams are represented here, from Technology and Data Operations to Research, Finance, and Sales and Relationship Management. You’ll also find that we’re well-equipped with collaboration spaces, breakout zones, a cafeteria and relax rooms, as well as a gym for those looking to exercise before work. Learn more about our offices in India.

Read our Equal Opportunity Policy.

 

Recruitment process Apply online

First, click Apply and upload a CV that shows us the skills and passion you could bring to this role, as well as your contact details so we can reach out to you. 

Talk to our recruiter

If you look like a good match, our recruiters will arrange a chat where we’ll ask about your motivations, experience, and background, and where you can ask us anything you want to know about working at MSCI.

Interview with our team

If you like what you hear, and we think you have what we need, then it’s time to interview with your future team, either virtually or in the office. These interviews will give you a clear insight into the team and the day-to-day responsibilities of the role. Read our interview top tips.

Make your decision

If you’re successful, we’ll make you an offer and give you any further information you need to help you make your decision. If the answer is yes, it’s time for some background checks, and then we’ll welcome you on board. Learn more about our onboarding experience.

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