AI Solution Architect

About the role

As part of our strategic initiatives, we are enabling high-value AI (with a strong focus on Generative AI) through fit-for-purpose platforms, services and applications. The Applied AI Use Case Engineering & Operations Team is tasked with building innovative AI applications, genAI agents and agentic foundations.

What you'll do

• Define and design AI (with focus on genAI and agentic) and non-AI components of software systems, ensuring modularity, scalability, and security
• Architect solutions that integrate AI capabilities into enterprise systems while ensuring seamless interoperability with backend services, APIs, MCPs, databases
• Ensure adherence to cloud-native best practices across AWS and multicloud deployments, including containerization, orchestration, and infrastructure as code
• Evaluate the best fit for purpose technologies
• Ensure newly developed AI applications fit within the context of particular RDT and Business functions

What you need

• 7–13 yrs of experience
• Machine learning
• SQL
• LLMs
• AWS
• Python
• MLOps
• B.Sc or M.Sc or PhD

Good to have

• TypeScript
• Snowflake
• Terraform
• CI/CD
• NoSQL
• Elasticsearch