Chief AI Architect

4 hours ago

hubballi, India beBeeAI Full time

Job Description:The role of the Artificial Intelligence Engineer will involve designing, developing, and deploying full-stack solutions for Agentic AI applications. This includes architecting and implementing scalable, secure, and compliant chatbot interfaces, building robust data pipelines using Python, Snowflake SQL, and AWS-native services, and integrating graph databases like Neo4j and vector databases.Design and implement end-to-end full-stack solutions for Agentic AI applications.Develop intelligent agents using frameworks such as LangChain and LangGraph.Build scalable, secure, and compliant chatbot interfaces.Develop and maintain robust data pipelines using Python, Snowflake SQL, and various AWS-native services.Integrate graph databases like Neo4j and vector databases.Deploy scalable AI services on cloud platforms including AWS, Azure AI, and GCP.Key Responsibilities:Architect and implement AI-powered solutions for Agentic applications.Develop and deploy intelligent chatbots and conversational interfaces.Design and build scalable data pipelines and infrastructure.Collaborate with cross-functional teams to ensure seamless integration.Requirements:Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, or a related technical field.5+ years of professional experience in software engineering, with at least 3 years focused on AI/ML and large language model-based systems.Advanced proficiency in Python programming.Hands-on experience with LangChain, LangGraph, AutoGen, CrewAI, LlamaIndex, or similar AI frameworks.Deep understanding of LLM architectures, prompt engineering, retrieval-augmented generation (RAG), and semantic search methodologies.Experience working with embedding-based search systems and graph technologies such as Neo4j and GraphRAG.Proficiency in cloud AI platforms including Azure AI, AWS, and Google Cloud Platform (GCP).Strong experience with containerization and orchestration tools including Docker, Kubernetes, and Terraform.Expertise in building scalable APIs using FastAPI and Flask, and integrating them with enterprise systems.Familiarity with CI/CD pipelines and observability tools to ensure reliable deployment and monitoring of AI services.Knowledge of AI ethics, governance, and compliance frameworks applicable to regulated industries.Demonstrated leadership skills with experience mentoring teams and managing cross-functional collaboration.

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