Solution Architect

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

Originally posted on Himalayas