GenAI/ Architect

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).