AI Engineer – Agentic AI & Intelligent Systems

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 MSCIs 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.

• 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 serverbased 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.

Core (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 serverbased 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.

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 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 Womens Leadership Forum.

At MSCI we are passionate about what we do and we are inspired by our vision to power better decisions. Youll 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 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.

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