We are seeking a highly experienced and hands-on Solution Architect with over 10+ years of expertise in designing and delivering scalable, enterprise-grade frameworks and foundational services to support analytical applications and next-generation Generative AI (GenAI) solutions. Location : Charlotte Key Responsibilities: • Lead and mentor a team of engineers in the design and development of foundational frameworks and infrastructure to support advanced analytics and GenAI solutions. • Architect and implement scalable, reusable infrastructure components for data processing, integration, and enterprise-wide AI/ML initiatives. • Define and drive integration strategies for both analytical applications and GenAI models, including Large Language Models (LLMs) and Agentic AI, into core enterprise systems and frameworks. • Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for model training, deployment, and monitoring, with a focus on both analytics and GenAI. • Ensure solutions are technically robust, aligned with enterprise architecture, and meet scalability, performance, and reliability requirements. • Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark, and Snowflake. • Work extensively with AWS services, including designing and deploying serverless or containerized solutions using ECS, Lambda, S3, Glue, and other cloud services. • Develop and deploy microservices-based and event-driven architectures using modern frameworks to support modular and scalable application development. • Integrate and work with GenAI frameworks and APIs such as OpenAI, Hugging Face, Google Vertex AI, or other enterprise-grade platforms. • Establish and enforce coding standards, conduct peer code reviews, and ensure best practices for test automation and CI/CD workflows. • Ensure security compliance through vulnerability detection, remediation, and implementation of OWASP best practices in the application lifecycle. • Collaborate with Agile cross-functional teams, including Product Owners, QA, and DevOps, for sprint planning, delivery, and continuous improvement