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Solution Architect - GenAI

Galent • Charlotte, NC

Associate Posted March 13, 2026 Job link

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Responsibilities

Commitments

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.

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Requirements

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.

Preferred Skills

Actively participate in the design, development, and maintenance of high-performance applications using Java, Python, JavaScript, Scala, PySpark, Spark , and Snowflake .
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.
Ensure security compliance through vulnerability detection and remediation and implement OWASP best practices in the application lifecycle.

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.