Solution Architect - GenAI (Charlotte)

We have an immediate opening for a Solution Architect - GenAI with a leading IT service/solutions provider in

Charlotte/Atlanta

.

Job Title: Solution Architect - GenAI Location: Charlotte/Atlanta (Hybrid 3 Days Onsite)

We are looking for a highly experienced and hands-on Solution Architect with over 10+ years of expertise in building scalable, enterprise-grade frameworks and foundational services to support next-generation Generative AI solutions.

Key Responsibilities: Lead and mentor a team of engineers working on full stack development of GenAI foundational services and framework. Architect and implement scalable and reusable infrastructure components to support enterprise-wide AI/ML initiatives. Define and drive the integration strategy for LLMs and Agentic AI models into core systems and frameworks. Collaborate with platform, data, and ML teams to define data pipelines and infrastructure for GenAI model training, deployment, and monitoring. Ensure GenAI solutions are technically feasible, aligned with enterprise architecture, and meet scalability and performance requirements. Actively participate in the design, development, and maintenance of high-performance applications using

Java, Python, JavaScript, Scala, PySpark, Spark , and

Snowflake . Work extensively on

AWS

services, including designing and deploying

serverless or containerized solutions

using ECS, Lambda, S3, Glue, etc. Develop and deploy robust

microservices-based

and event-driven architectures using modern frameworks. Integrate and work with GenAI frameworks and APIs such as

OpenAI, Hugging Face, Google Vertex AI , or other enterprise-grade platforms. Establish coding standards, perform peer code reviews, and ensure adherence to best practices, including

test automation

and

CI/CD controls . Ensure security compliance through

vulnerability detection and remediation

and implement OWASP best practices in the application lifecycle. Collaborate with cross-functional Agile teams including Product Owners, QA, and DevOps for sprint planning, delivery, and continuous improvement.