Design, architect and deploy enterprise grade distributed, cloud-native and AI systems in Public Clouds like AWS, Azure and GCP.
Research, evaluate and configure AI/ML marketplace products/platforms to effectively address AI/ML business use cases.
Get to work on containers, container orchestration technologies (Kubernetes, Docker), OpenSearch, Vector Stores, building data pipelines, messaging, scalable streaming services, RAG-based architectures, Generative AI Models, API Management Services like Google APIGEE, Azure APIM.
Facilitate collaboration and communication across business lines, technology
Work with Engineering team members to implement and deploy generative AI systems into production.
Develop and implement best practices for building, deploying, and managing generative AI systems.
Stay up to date on the latest research and developments in generative AI and apply new knowledge to our work.
Collaborate with other engineers, Architects, and product managers to develop.
