Sr. Solutions Architect

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Role:- Sr. Solutions Architect    

Location:- Chicago, IL (onsite)

Fulltime

 

Job Description

 

Must Have Technical/Functional Skill

 

 Front-end: Angular (or similar modern frameworks)

 Back-end: .NET / C# APIs and services

Databricks and data engineering, including Spark, Delta Lake, and pipeline development

AI-enabled solutions, including RAG architectures and LLM integration.

Microsoft Azure,

 

Roles & Responsibilities

•             Design and deliver end-to-end solution architectures spanning front-end (Angular), back-end (.NET), data platforms (Databricks), APIs, and cloud infrastructure (Azure).

•             Act as a hands-on architect, contributing code, prototypes, and reference implementations across application, data, and AI layers.

•             Architect and implement modern full-stack applications, ensuring seamless integration between UI, services, and data platforms.

•             Lead the design of data and analytics solutions using Databricks, including data pipelines, lakehouse architecture, and integration with application services.

•             Design and integrate AI-enabled solutions, including: 

o            Retrieval-Augmented Generation (RAG) patterns

o            Databricks Genie and conversational data interfaces

o            Secure and scalable LLM integration into applications

•             Collaborate with engineering teams to build reusable frameworks, shared services, and integration patterns across front-end, back-end, and data layers.

•             Partner with Product, Engineering, CloudOps, and Security teams to ensure security, reliability, and governance are embedded into all solutions.

•             Lead architecture and design sessions, providing clear technical direction and influencing decisions across stakeholders.

•             Ensure solutions meet non-functional requirements including performance, scalability, cost optimization, security, and compliance (HIPAA, SOC 2).

•             Drive adoption of modern engineering practices, including CI/CD, Infrastructure as Code, automated testing, and observability.

•             Mentor team members and promote engineering excellence and best practices across the organization.

Ensure all solutions align with enterprise architecture standards, data governance policies, and CISO directives.

 

 

 

 

Thanks & Regards, 

Rishabh Singh

Technical Recruiter

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