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.
- Solid 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).

📌 GenAI/ Architect (Pune)
🏢 Vantageiq Technologies Opc
📍 Pune