Description

You will design secure, scalable, and cost-effective data and AI solutions for Investment Banking, Global Markets, and Investment Research.

This role is hybrid.

Responsibilities

• Develop end-to-end solution architecture specifications covering functional and non-functional requirements.
• Collaborate with Enterprise Architecture and Data & AI governance teams to align solutions with enterprise strategy and security policies.
• Partner with engineering teams to validate that delivered solutions meet prescribed architecture specifications.
• Present architecture artifacts to 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.
• Solid proficiency in Python and SQL.
• Experience with Identity and Access Management solutions.
• Background in Data Engineering and applied Machine Learning.

Preferred Skills

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

Key Skills

Education

Any Gradute