AI Architect

AI Architect to design and lead AI workflow solutions leveraging AWS Bedrock and latest AI techniques on AWS clous environment. The candidate will be responsible for defining end-to-end system architecture, integrating RAG (Retrieval Augmented Generation), embeddings, vector databases, and orchestrating complex agentic workflows. The role involves establishing best practices for Human-in-the-Loop (HIL), validation strategies, and ensuring scalability, security, and governance of AI systems.

Key Responsibilities

• Define and own the AI architecture roadmap for Bedrock-based solutions.
• Design data ingestion and preprocessing pipelines for AI workflows.
• Architect RAG-enabled solutions integrating embeddings and vector databases.
• Implement agentic workflows and deep-reasoning strategies for complex problem solving.
• Establish best practices for Model Context Protocols (MCP) adoption.
• Design Human-in-the-Loop (HIL) systems and validation frameworks for AI outputs.
• Provide technical leadership to development teams, guiding best practices and ensuring scalability.
• Collaborate with stakeholders across product, engineering, and data teams to align AI strategies.

Skills

• Strong expertise in AWS Bedrock, AI workflow orchestration, and prompt engineering.
• Deep knowledge of RAG, embeddings, and vector databases
• Experience designing agentic workflows (multi-agent reasoning frameworks).
• Proficiency with Model Context Protocol (MCP) and context-sharing strategies.
• Proven experience architecting data ingestion pipelines and scalable data flows.
• Strong knowledge of Human-in-the-Loop (HIL) systems, model evaluation, and validation strategies.
• Experience with Python, LangChain, LlamaIndex, Hugging Face ecosystem, and API integrations.
• Experience with scalable cloud architectures (AWS, Kubernetes, serverless).
• Strong communication and leadership skills to guide cross-functional teams.