Senior AI Engineer

Your Team Responsibilities

The AI Engineering team at MSCI is seeking a Senior Associate to help build and scale our internal platform for deploying intelligent agents. This platform enables developers and non-technical teams to quickly build, test, and deploy agents that interact with internal APIs and data while respecting entitlements and data boundaries.

You will work in close collaboration with engineers across cloud infrastructure, ML ops, and security to ensure the agent platform is robust, flexible, and easy to use. This role requires a passion for platform usability, developer experience, and pragmatic engineering in cross-cloud (Azure + GCP) environments.

Your Key Responsibilities

• Implement and improve internal tooling and runtimes for deploying agent-based applications across MSCI teams.

• Integrate entitlement and data-privacy policies into AI workflows using internal security and identity layers.

• Develop reusable libraries and interfaces for agents to interact with MSCI services via MCP and additional integrations.

• Collaborate with UX and internal client teams to build low-friction, high-compliance agent deployment pathways.

• Contribute to observability, sandboxing, and monitoring capabilities for agent executions and workflows.

Your skills and experience that will help you excel

• Experience building testing, validation, or observability systems in ML or production software environments.

• Working knowledge of common agent architectures, LLM prompting strategies, and feedback mechanisms.

• Comfort working with structured logging, tracing, and evaluation frameworks across GCP or Azure environments.

• Familiarity with common agentic development platforms like OpenAI agents sdk, google’s adk, langchain, etc

• Strong analytical mindset with a focus on automation and reproducibility of complex behaviour traces.

• Demonstrated ability to work across disciplines (engineering, product, risk) to define validation metrics and processes.