Location: Chicago, IL 60607
We are seeking a hands-on Senior Solutions Architect with strong experience designing and implementing enterprise-scale, cloud-native applications across front-end development, back-end services, data platforms, APIs, and Microsoft Azure infrastructure.
The ideal candidate will have expertise in Angular, .NET/C#, Databricks, Spark, Delta Lake, and Azure cloud architecture, along with experience integrating Generative AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Databricks Genie or similar conversational AI tools.
This role requires a combination of solution architecture, hands-on engineering, technical leadership, and cross-functional collaboration to deliver secure, scalable, high-performance enterprise solutions.
Design and deliver end-to-end solution architectures spanning front-end applications, back-end services, APIs, data platforms, and Azure cloud infrastructure.
Develop prototypes, proof of concepts, reference implementations, and production-ready code across application, data, and AI layers.
Design and implement full-stack applications using Angular, .NET/C#, REST APIs, and cloud-native Azure services.
Lead Databricks data engineering and analytics architecture, including Apache Spark, Delta Lake, lakehouse design, data pipelines, and application-service integration.
Design and implement AI-enabled solutions using RAG architectures, LLM integrations, Databricks Genie, conversational interfaces, and enterprise data retrieval.
Define API standards, event-driven architectures, distributed systems, and integration patterns to support scalable enterprise applications.
Implement CI/CD pipelines, Infrastructure as Code (IaC), automated testing, monitoring, logging, and observability.
Ensure solution performance, scalability, availability, cost optimization, and maintainability.
Establish architecture and security standards aligned with enterprise policies, governance requirements, HIPAA, SOC 2, and CISO directives.
Collaborate with Engineering, Product, CloudOps, Security, and IT teams to translate business requirements into technical architectures.
Lead architecture reviews, technical design sessions, and implementation discussions.
Mentor engineers, promote engineering best practices, and communicate architectural decisions to technical and business stakeholders.
7+ years of software engineering experience, including at least 5 years in solution architecture, technical architecture, or senior design roles.
Strong hands-on experience designing enterprise cloud-native solutions using Microsoft Azure.
Experience developing front-end applications using Angular.
Strong back-end development experience using .NET and C#.
Hands-on experience with Databricks, Apache Spark, Delta Lake, lakehouse architecture, and data pipeline development.
Experience designing and integrating REST APIs, distributed systems, and event-driven architectures.
Knowledge of Generative AI solution architecture, including RAG, LLM integration, and conversational AI applications.
Experience with Databricks Genie or similar conversational analytics and natural-language data access tools.
Experience implementing CI/CD, Infrastructure as Code, automated testing, and observability.
Strong understanding of enterprise application security, data governance, scalability, performance optimization, and cloud cost management.
Excellent communication, technical leadership, problem-solving, and stakeholder-management skills.
Experience with Terraform, Pulumi, or other Infrastructure as Code tools.
Experience integrating LLMs with enterprise applications, APIs, and governed data platforms.
Familiarity with vector search, embeddings, enterprise retrieval systems, and RAG optimization.
Experience with Azure cloud-native services, application modernization, and distributed application deployment.
Knowledge of HIPAA, SOC 2, and enterprise security governance.
Experience leading architecture decisions, mentoring engineering teams, and driving adoption of modern engineering practices.
Application Development: Angular, .NET, C#, REST APIs, full-stack development.
Cloud Architecture: Microsoft Azure, cloud-native architecture, distributed systems, event-driven architecture.
Data Engineering: Databricks, Apache Spark, Delta Lake, lakehouse architecture, data pipelines.
Generative AI: LLM integration, RAG, Databricks Genie, conversational AI, enterprise data retrieval.
DevOps and Automation: CI/CD, Terraform, Pulumi, Infrastructure as Code, automated testing, observability.
Security and Governance: Enterprise security, HIPAA, SOC 2, data governance, CISO directives.
