Company Description
As a leading global investment management firm, AB fosters diverse perspectives and embraces innovation to help our clients navigate the uncertainty of capital markets. Through high-quality research and diversified investment services, we serve institutions, individuals, and private wealth clients in major markets worldwide. Our ambition is simple: to be our clients’ most valued asset-management partner.
With over 4,400 employees across 51 locations in 25 countries, our people are our advantage. We foster a culture of intellectual curiosity and collaboration to create an environment where everyone can thrive and do their best work. Whether you're producing thought-provoking research, identifying compelling investment opportunities, infusing new technologies into our business, or providing thoughtful advice to clients, we’re looking for unique voices to help lead us forward. If you’re ready to challenge your limits and build your future, join us.
Who You’ll Work With:
Data Engineering team under Center of Excellence (Data Science)
What You’ll Do:
AI and Data Engineer, Agentic AI Platform
We are building a next-generation enterprise AI and data platform that enables teams to design, deploy, integrate, and scale intelligent applications and agents across investment research, portfolio management, risk, client, and operational workflows.
The platform provides standardized infrastructure, reliable data products, commercial and self-hosted model access, retrieval, agent orchestration , evaluation, observability, security, and governance. It enables teams to rapidly deliver AI-powered capabilities in a scalable, secure, and production-ready manner.
We are looking for hands-on AI and Data Engineers who can:
Build reliable, reusable, and AI-ready data products for investment and enterprise use cases.
Design and develop production-grade AI applications, agents, and intelligent workflows using Python.
Implement agent orchestration, tool integration, retrieval, memory, and multi-step workflows.
Integrate AI capabilities into enterprise applications, data platforms, and business systems.
Contribute to the shared AI and data platform that powers these capabilities at scale.
This role operates at the intersection of AI engineering, data engineering, agentic AI, platform engineering, and investment technology. It emphasizes Python, enterprise integration, reliable data products, security, CI/CD, observability, model and agent evaluation, and rigorous validation of production AI systems.
What We’re Looking For:
Core AI and Data Engineering
· 5+ years of experience in software, data, AI, or platform engineering.
· Strong production development experience with Python and SQL.
· Proven ability to build and operate AI applications, data pipelines, APIs, data products, and distributed systems.
· Experience integrating AI capabilities into enterprise applications and business workflows.
· Strong understanding of:
o Object-oriented and asynchronous Python
o APIs, microservices, and application integration
o Data modeling, contracts, quality, reconciliation, metadata, and lineage
o Batch, streaming, event-driven, and API-based architectures
o Workflow orchestration, distributed processing, and production operations
· Experience with cloud data and AI platforms such as Azure, AWS, Google Cloud, Snowflake.
· Ability to design scalable, reusable, resilient, and operationally supportable services.
Generative AI and Agentic Systems
Hands-on experience with:
· Large language models, embeddings, prompt engineering, context engineering, and RAG architecture.
· Commercial and open-source model APIs and ecosystems.
· AI agents, agentic workflows, reusable skills, tool calling, structured outputs, and multi-step orchestration.
· Vector, keyword, metadata-filtered, graph-based, and hybrid retrieval.
· Agent frameworks such as LangGraph, Microsoft…