Role Summary
Define and lead the end‑to‑end architecture of the Target State Agentic AI Platform and Strategic agentic AI solution , ensuring scalable, secure, and interoperable data capabilities across ingestion, storage, processing, and consumption layers. Provide architectural direction and governance for platform and data engineering teams, enabling application or business teams to build Agentic AI solutions/platforms to automate data operations related to investment performance, investment research, and related daily operations.
Key Responsibilities
- Define and own the end-to-end target state architecture for the Agentic AI Platform, covering prompt engineering, memory, agent frameworks, knowledge management, and agentic AI patterns
- Establish architectural standards and guardrails for Iceberg based Lakehouse design , including table layout, partitioning, schema evolution, and lifecycle management
- Build agentic AI solutions to automate data operations related to investment performance, investment research, and related daily operations.
- Review platform and data engineering designs to ensure alignment with architectural principles, performance expectations, and enterprise standards
- Partner with Platform Engineering to align infrastructure, security, observability, and CI/CD capabilities with architectural intent
- Work with enterprise Architecture Governance and Security teams to ensure adherence to access control, compliance, and audit requirements
- Publish and maintain architectural artifacts, including reference diagrams, design guidelines, and architectural decision records
- Identify architectural risks, technical debt, and improvement opportunities, guiding platform evolution over time
Qualifications
- Proven experience owning or leading enterprise agentic AI architecture
- Demonstrated ability to operate as an AI-augmented architect , leveraging GenAI tools to accelerate solution design, documentation, and decision-making while applying strong architectural judgment, governance, and quality standards.
- Strong understanding of distributed data processing, scalability, and performance considerations
- Experience architecting data platforms and agentic AI solutions in AWS, GCP and/or Azure environments
- Solid understanding of data governance, metadata management, and security architecture
- Ability to guide and influence multiple engineering teams through architectural leadership
- Experience working in large-scale or regulated enterprise environments preferred
- Financial or enterprise data platform background preferred but not required
Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.
As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.
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