AI Engineer - Senior Associate

MSCI•Norman, OK

36d•$81,000 - $105,000

About The Position

Our team is responsible for building and scaling enterprise-grade AI platforms that transform how MSCI delivers analytics, insights, and client servicing workflows across multiple verticals including Analytics, Sustainability & Climate, Ratings, and Governance. We architect intelligent automation systems, AI agents, pre-screening platforms, and client-query solutions that significantly improve productivity, reduce operational overhead, and enhance data quality across the organization. As a core part of this transformation, the team develops multi-tenant AI-driven applications, integrates AI into critical decision workflows, and ensures our systems meet rigorous standards for accuracy, regulatory compliance, security, and scalability. The team also leads modernization efforts across cloud infrastructure (GCP/Azure), NLP pipelines, data services, and AI-efficiency initiatives that support MSCI’s long-term AI strategy. This role offers the unique opportunity to work on diverse, high-impact AI applications that shape how the world's largest financial institutions understand and navigate complex market dynamics.

Requirements

6+ years of experience designing, building, and deploying AI/ML systems at enterprise scale.
Expert-level proficiency in modern AI/ML frameworks (TensorFlow, PyTorch) and distributed computing platforms (Spark, Ray, Flink, Beam).
Proven experience architecting and delivering large-scale, production-grade AI platforms handling complex and high-volume data.
Advanced knowledge of NLP, computer vision, and time-series analysis, with hands-on application in real-world use cases.
Strong background in system design and integration, including: MCP workflows DB/API orchestration Web frameworks Multi-tenant data pipelines
Expertise in cloud engineering across GCP and Azure, including: Cloud architecture Security compliance Disaster Recovery (DR) Kubernetes & serverless pipelines IaC using Terraform
Solid understanding of MLOps practices, including model versioning, monitoring, A/B testing, CI/CD automation, and retraining pipelines.
Excellent technical communication skills, with the ability to articulate complex AI concepts to varied stakeholders.
Demonstrated cross-functional collaboration with engineering, research, analytics, product, and governance teams.
Strong passion for solving complex analytical challenges with AI-driven solutions in financial markets.
Demonstrated commitment to AI innovation, including refinement of agentic frameworks, prompt engineering, and platform enhancements to improve product quality and efficiency.

Nice To Haves

Experience working with financial data, risk modeling, or quantitative analytics (highly desirable).
Prior experience publishing research or speaking at AI/ML conferences is a strong plus.

Responsibilities

Design and implement enterprise-scale AI architectures for processing and analyzing complex, multi-dimensional financial and alternative data
Architect end-to-end AI/ML pipelines that handle multi-modal data sources including structured market data, unstructured documents, and real-time feeds
Apply cutting-edge AI techniques (including LLMs) to solve MSCI's diverse AI use cases
Implement MLOps best practices and automated systems for model deployment, monitoring, and continuous improvement across multiple product lines
Collaborate with product teams and domain experts to translate complex requirements into scalable technical solutions
Provide technical guidance and mentorship to other engineers on AI/ML best practices and architectural decisions
Partner with MSCI Research teams to advance the state of AI applications in financial analytics
Drive technical excellence through code reviews, design documentation, and knowledge sharing across the organization
Help improve AI Engg team's productivty by using AI agents to automate tasks

Benefits

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.

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