Solutions Architect/AI/Data

• Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Solution Architect to lead the design secure, scalable and cost-effective data & AI solutions for building Data Products, Signals and AI Agents for Investment Banking, Global Markets, and Investment Research.

What will you do?

• Work directly with the product teams to capture detailed requirements and develop end-to end detailed solution architecture specifications covering both functional and non-functional aspects of the product.

• Collaborate with Enterprise Architecture, Data & AI governance teams to ensure full alignment of solution architecture with enterprise data strategy, AI governance frameworks, security policies, compliance and architecture standards.

• Partner with engineering teams to validate that the delivered solution is as per the prescribed architecture specification.

• Present architecture artifacts to technical and non-technical stakeholders.

**We need A senior AI Solutions Architect with experience in building and deploying LLM Powered Agents and proven experience in architecting hybrid cloud solutions that leverage both on-premises and cloud services for compute and storage, aligned with performance, compliance and scalability goals. Candidates must have strong Proficiency in Python, SQL, Identity and Access management solutions as well as Experience with Azure Databricks, Kubernetes. **** The manager wants to see candidates out of large well-known companies and have great educational credentials. They are searching for top notch talent/Pedigree with excellent communication skills and long engagements., Years working with: AI Solutions Architect Years working with: Deploying LLM Powered Agents Years working with: Architecting hybrid cloud solutions Years working with: Python, SQL, Identity and Access Solutions, * 10+ years' industry experience, including 2 years as a Solutions Architect focused on large scale Data and AI projects and 3 Years experience as a Software Engineer.

• Experience in building and deploying LLM Powered Agents

• Proven experience in architecting hybrid cloud solutions that leverage both on-premises and cloud services for compute and storage, aligned with performance, compliance and scalability goals.

• Solid experience collaborating with Engineering teams, Product and Program management, Data and AI governance groups.

• Strong Proficiency in Python, SQL, Identity and Access management solutions.

• Excellent written and verbal communication skills.

Nice to Have

• Experience with Agentic Architectures
• Hands-on experience in Data Engineering and applied Machine Learning.
• Degree in Computer Science or Engineering
• Experience with Azure Databricks, Kubernetes