Lead AI Engineer

2 hours ago

Bengaluru, IndiaStaff+

Responsibilities

Define the architectural vision and governance standards for enterprise-scale GenAI solutions.
Design intelligent systems using LLMs, agentic workflows, vector-based retrieval, embedding pipelines, prompt optimization, and context management.
Design, optimize, and maintain Azure APIs and tune Azure SQL performance.
Build reusable SDKs, prompt libraries, and orchestration templates to accelerate solution delivery.
Translate business use cases into detailed technical designs and collaborate with Enterprise Architects and Platform Architects.
Integrate backend services with front-end applications and support scalable microservices and micro-front-end architectures.
Address security, performance, reusability, model safety, cost optimization, and observability in GenAI applications.

Expert knowledge of Azure cloud services and strong expertise in Azure SQL performance tuning and optimization.
Strong proficiency in API design, performance optimization, microservices, and micro-front-end architecture.
Demonstrated expertise building LLM-integrated systems, embedding pipelines, and agentic workflows in production.
Deep understanding of prompt optimization, vector search, context management, and multi-step task orchestration.
Experience with enterprise-scale initiatives, cloud-native delivery, containerized workloads, and scalable microservices.
Strong knowledge of security across application and data layers, along with model safety, cost optimization, and observability for GenAI applications.
Experience collaborating with Enterprise Architects and Platform Architects and translating business requirements into technical designs.
Exposure to Visual Studio and modern development environments; familiarity with front-end UI functionality is a plus.
Good knowledge of CI/CD processes and DevOps practices, plus strong problem-solving, accountability, ownership, and strategic thinking.

10,000+ employees