Location: Noida (On-site)

Experience: 10+ Years

Employment Type: Full time

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
- Machine Learning, Deep Learning, NLP, MLOps & LLMOps
- 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.

📌 AI/ML Architect (Noida)
🏢 BlueCloud
📍 Noida