AI/ML Architect

BlueCloud; Dadri; On-site; INR 350,000 - 600,000; Full time

Job summary

Blue Cloud is seeking an experienced AI/ML Architect to lead the design and delivery of enterprise-scale AI and Generative AI solutions.

You will architect end-to-end workflows, including RAG systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent architectures.

Collaborate with cross-functional teams across AWS/Azure/GCP, and define standards, governance, and client-facing engagements.

Qualifications

• 10+ years of experience in AI/ML, Solution Architecture, or Enterprise Architecture.
• Hands-on expertise with Generative AI, LLMs, RAG, Agentic AI, Prompt Engineering.
• Experience with Snowflake Cortex, Snowpark ML, Cortex Search, Cortex Analyst.
• Experience with AWS, Azure, or GCP cloud platforms and enterprise integrations.

Responsibilities

• Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment.
• Design and implement production-grade RAG systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent workflows.
• Build scalable AI solutions using Snowflake Cortex, Snowpark ML, Cortex Search, Cortex Analyst.
• Develop ML and LLM pipelines supporting training, inference, monitoring, evaluation, and governance.
• Integrate AI solutions across AWS, Azure, or GCP, APIs, and data platforms.
• Define AI architecture standards, reusable frameworks, and governance practices.
• Lead architecture reviews, technical workshops, PoCs, and client-facing discussions.
• Collaborate with cross-functional engineering, data, and business teams to deliver enterprise AI solutions.

Skills

Generative AI

LLMs

RAG

Prompt Engineering

Snowflake Cortex

Snowpark ML

APIs & Microservices

Cloud Platforms

Tools

Pinecone

Weaviate

Milvus

Cortex Search

Cortex Analyst

Job description

Blue Cloud is looking for an experienced AI/ML Architect to lead the design, architecture, and delivery of enterprise-scale AI, Machine Learning, and Generative AI solutions. If you're passionate about building production-ready AI systems and collaborating with enterprise clients to solve complex business challenges, we'd love to hear from you.

What You'll Do:

• Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production deployment.
• Design and implement production-grade RAG systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent workflows.
• Build scalable AI solutions using Snowflake Cortex, Snowpark ML, and other Snowflake AI capabilities.
• Develop ML and LLM pipelines supporting training, inference, monitoring, evaluation, and governance.
• Integrate AI solutions across AWS, Azure, or GCP, enterprise applications, APIs, and data platforms.
• Define AI architecture standards, reusable frameworks, and governance best practices.
• Lead architecture reviews, technical workshops, proof-of-concepts, and client-facing solution discussions.
• Collaborate with cross-functional engineering, data, and business teams to deliver enterprise AI solutions.

What We're Looking For:

10+ years of experience in AI/ML, Solution Architecture, or Enterprise Architecture.

Strong hands-on expertise with:

• Generative AI, LLMs, RAG, Agentic AI, Prompt Engineering
• Snowflake Cortex, Snowpark ML, Cortex Search, Cortex Analyst
• AWS, Azure, or GCP Cloud Platforms
• APIs, Microservices, Event-Driven Architectures, and Enterprise Integrations

Experience designing secure, scalable, and governed AI architectures.

Strong client-facing communication, stakeholder management, and technical leadership skills.

Preferred Qualifications:

• Experience with Amazon Bedrock, Azure Open AI, Azure AI Foundry, Sage Maker, Vertex AI, or Azure ML.
• Knowledge of LangChain, LangGraph, Llama Index, Semantic Kernel, Crew AI, or AutoGen.
• Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, Chroma, or pgvector.
• Snowflake, AWS, Azure, or AI/ML certifications are a plus.

If you're excited about shaping enterprise AI strategies and building next-generation AI solutions, we'd love to connect.