What are the responsibilities and job description for the Solution Architect - GenAI position at Galent?
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.