Description

Design and deliver end-to-end solution architectures spanning front-end, back-end, data platforms, and cloud infrastructure.

This role is on-site.

Responsibilities

• Architect and implement modern full-stack applications using Angular, .NET, and Azure, 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 Retrieval-Augmented Generation (RAG) patterns, Databricks Genie, and secure LLM integration.
• Act as a hands-on architect, contributing code, prototypes, and reference implementations across application, data, and AI layers.
• Drive adoption of modern engineering practices, including CI/CD, Infrastructure as Code, automated testing, and observability.

Required Skills

• 10+ years of experience in software architecture and engineering.
• Expertise in front-end development with Angular or similar modern frameworks.
• Strong proficiency in back-end development using .NET, C#, APIs, and services.
• Hands-on experience with Databricks, including Spark, Delta Lake, and pipeline development.
• Proven ability to design and implement AI-enabled solutions, specifically RAG architectures and LLM integration.
• Deep knowledge of Microsoft Azure cloud infrastructure and services.
• Experience ensuring solutions meet non-functional requirements including performance, scalability, and security compliance (HIPAA, SOC 2).

Preferred Skills

• Experience leading architecture sessions and influencing technical decisions across stakeholders.
• Familiarity with Databricks Genie and conversational data interfaces.

Key Skills

Education

Any Graduate