Description

You will own the design of secure, scalable, and cost-effective data and AI solutions for building Data Products, Signals, and AI Agents across Investment Banking, Global Markets, and Investment Research.

Responsibilities

• Develop end-to-end detailed solution architecture specifications, covering functional and non-functional aspects, by capturing detailed requirements from product teams.
• Collaborate with Enterprise Architecture and Data & AI governance teams to align solution architecture with enterprise data strategy, AI governance frameworks, and security policies.
• Partner with engineering teams to validate that delivered solutions meet the prescribed architecture specifications.
• Present architecture artifacts to both technical and non-technical stakeholders.

Required Skills

• 10+ years of industry experience, including 3 years as a Software Engineer.
• 2+ years as a Solutions Architect focused on large-scale Data and AI projects.
• Proven experience building and deploying LLM Powered Agents.
• Experience architecting hybrid cloud solutions leveraging on-premises and cloud services for compute and storage.
• Solid experience collaborating with Engineering teams, Product, Program Management, and Data and AI governance groups.
• Strong proficiency in Python and SQL.
• Experience with Identity and Access management solutions.
• Experience in Data Engineering and applied Machine Learning.

Preferred Skills

• Experience with Azure Databricks and Kubernetes.
• Experience with Agentic Architectures.

Key Skills

Education

Any Gradute