Key Responsibilities :
Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment.
Design production-grade RAG systems, vector search solutions, embedding pipelines, AI agents, copilots, and multi-agent workflows.
Lead hands-on implementation using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and related Snowflake AI capabilities.
Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance.
Integrate AI solutions with AWS, Azure, or GCP, as well as enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services.
Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks.
Provide technical leadership through architecture reviews, code reviews, design sessions, and production-readiness assessments.
Lead client discovery workshops, solution design, effort estimation, technical presentations, proof-of-concepts, and pre-sales activities.




Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders throughout delivery.

Required Qualifications
10+ years of experience in solution architecture, AI/ML architecture, enterprise architecture, or technical delivery.
Solid recent hands-on experience building and supporting production AI/ML and Generative AI solutions.
Proven experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, prompt engineering, and AI evaluation.
Robust understanding of machine learning, deep learning, NLP, MLOps, and LLMOps.
Hands-on experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and Snowflake Native Apps.
Solid architecture experience across Snowflake and at least one major cloud platform, preferably AWS or Azure.
Experience integrating AI platforms with APIs, microservices, SaaS applications, enterprise s

📌 Ai Ml Architect Noida
🏢 Birch Tree Consulting
📍 Noida