Associate Lead AI Engineer - Architecture

• 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.

About You:

• knowledge is foundational to this role.
• With that said, we need to add a bit of
• Cloud echo system around AI/ML.
• Include proficiency real-time
• exposure/expertise to/with LLMs, AWS
• Bedrock, Google Gemini, Azure APIM.