Overview
Location: Noida
Company Name- BlueCloud
About the Role:
We are seeking an experienced AI/ML Architect to lead the architecture and delivery of enterprise-scale AI, Machine Learning, and Generative AI solutions.
The ideal candidate will have recent hands-on experience designing and deploying production-grade AI solutions, with strong expertise in LLMs, RAG, agentic AI, Snowflake Cortex, cloud platforms, and AI architecture. The role involves working closely with enterprise clients and technical teams to deliver scalable, secure, and governed AI solutions.
Responsibilities
Key Responsibilities:
- Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production.
- Design production-grade RAG systems, vector search, embedding pipelines, AI agents, copilots, and multi-agent workflows.
- Build solutions using Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
- Design scalable ML and LLM pipelines for training, inference, evaluation, monitoring, and governance.
- Integrate AI solutions with AWS, Azure, or GCP, enterprise applications, APIs, ETL/ELT platforms, and streaming systems.
- Develop reusable AI reference architectures, technical standards, accelerators, and governance frameworks.
- Lead architecture reviews, technical design sessions, code reviews, POCs, and production-readiness assessments.
- Conduct client discovery workshops, solution design, effort estimation, technical presentations, and pre-sales activities.
- Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders.
Qualifications
Required Qualifications:
- 10+ years of experience in Solution Architecture, AI/ML Architecture, Enterprise Architecture, or Technical Delivery.
- Strong recent hands-on experience building and supporting production AI/ML and Generative AI solutions.
- Proven experience with LLMs, RAG, vector databases, embeddings, agentic AI, prompt engineering, and AI evaluation.
- Strong understanding of Machine Learning, Deep Learning, NLP, MLOps, and LLMOps.
- Hands-on experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
- Strong architecture experience with Snowflake and at least one major cloud platform, preferably AWS or Azure.
- Experience integrating AI solutions with APIs, microservices, SaaS applications, Kafka, and event-driven architectures.
- Strong understanding of AI security, governance, compliance, observability, and model monitoring.
- Excellent communication, client-facing, leadership, and stakeholder-management skills.
- Ability to balance strategic architecture ownership with hands-on technical execution.
Preferred Qualifications:
- Experience with Amazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Azure ML, or Vertex AI.
- Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or MCP.
- Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, Chroma, or pgvector.
- Experience integrating AI solutions with Salesforce, ServiceNow, SAP, Workday, or Microsoft applications.
- Relevant Snowflake, AWS, Azure, or AI/ML certifications.
- Consulting experience, preferably within regulated industries such as financial services, healthcare, or manufacturing.
If you are passionate about enterprise AI, Generative AI, and modern cloud architecture and enjoy solving complex business problems through technology, we encourage you to apply.
#ibexphtalentmobility
Work Location: Hybrid remote in Noida, Uttar Pradesh