GenAI/ Architect

*****GenAI/Architect*****

*****Immediate Joiners Preferred****

*****Pune Hinjewadi Phase1*****

*****4 days a week*****

We are seeking an experienced **GenAI Lead / Architect** to design and implement scalable Generative AI solutions leveraging AWS services. The ideal candidate will lead the transformation of existing LLM-based architectures into efficient, cloud-native platforms, ensuring robust, secure, and cost-effective deployments.

Key Responsibilities:

• Design and architect scalable GenAI solutions using

  AWS Bedrock

  and other AWS services.
• Lead the transformation of

  homegrown LLM-based architecture

  into a

  managed cloud-native solution

  .
• Provide architectural guidance across components: RAG pipelines, LLM orchestration, vector DB integration, inference workflows, and scalable endpoints.
• Collaborate closely with GenAI developers, MLOps, and data engineering teams to ensure alignment on implementation.
• Evaluate, integrate, and benchmark frameworks such as

  LangChain, Autogen, Haystack, or LlamaIndex

  .
• Ensure infrastructure and solutions are

  secure, scalable, and cost-optimized

  on AWS.
• Act as a

  technical SME and hands-on contributor

  for architecture reviews and POCs.

Must-Have Skills:

• Proven experience architecting LLM applications with RAG, embeddings, prompt engineering.
• Hands-on understanding of frameworks like

  LangChain

  ,

  LlamaIndex

  , or

  Autogen

  .
• Knowledge of

  LLMs like Anthropic Claude, Mistral, Falcon, or custom models

  .
• Strong understanding of API design, containerization (Docker), and serverless architecture.
• Expertise with

  AWS Bedrock

  , S3, Lambda, SageMaker, API Gateway, DynamoDB/Redshift, etc.
• Experience leading cloud-native transformations.

Preferred:

• AWS Certified Solutions Architect.
• Experience with CI/CD, DevOps integration for ML/AI pipelines.
• Exposure to Azure/GCP in GenAI (bonus).