AI/ML Architect

Remotedxb; Dubai; On-site; AED 600,000 - 900,000; Full time

Job summary

BlueCloud seeks a Senior AI/ML Architect to lead end-to-end AI/ML and Generative AI initiatives from discovery to deployment. The role focuses on building production-grade RAG systems, embedding pipelines, and multi-agent workflows.

You will guide hands-on work with Snowflake Cortex tools, design scalable ML/LLM pipelines, and drive governance, security, and observability across cloud platforms (AWS/Azure/GCP).

Qualifications

• 10+ years of experience in solution architecture, AI/ML architecture, or technical delivery.
• Hands-on experience building production AI/ML and Generative AI solutions.
• Proven experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, and prompt engineering.
• Strong understanding of ML, DL, NLP, MLOps, and LLMOps.
• Experience with Snowflake Cortex, Cortex Analyst, Cortex Search, Cortex Agents, Snowpark ML, and Snowflake Native Apps.
• Architecture experience across Snowflake and at least one major cloud platform (AWS or Azure).
• Experience integrating AI platforms with APIs, microservices, SaaS, and event-driven architectures.
• Strong understanding of AI security, governance, compliance, and observability.
• Excellent client-facing communication and stakeholder management skills.

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, and Snowpark ML.
• Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance.
• Integrate AI solutions with AWS, Azure, or GCP, enterprise applications, APIs, and ETL/ELT platforms.
• Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks.
• Provide technical leadership through architecture reviews, code reviews, and design sessions.
• Lead client discovery workshops, solution design, effort estimation, and pre-sales activities.

Skills

AI/ML architecture

Technical delivery

Client-facing communication

Snowflake Cortex stack

Tools

Snowflake Cortex

Cortex Analyst

Cortex Search

Cortex Agents

Snowpark ML

Job description

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, and Snowpark ML
• Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance
• Integrate AI solutions with AWS, Azure, or GCP, enterprise applications, APIs, and ETL/ELT platforms
• Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks
• Provide technical leadership through architecture reviews, code reviews, and design sessions
• Lead client discovery workshops, solution design, effort estimation, and pre-sales activities

Requirements

• 10+ years of experience in solution architecture, AI/ML architecture, or technical delivery
• 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, and prompt engineering
• Strong 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
• Architecture experience across Snowflake and at least one major cloud platform (AWS or Azure)
• Experience integrating AI platforms with APIs, microservices, SaaS, and event-driven architectures
• Strong understanding of AI security, governance, compliance, and observability
• Excellent client-facing communication and stakeholder management skills

Preferred Qualifications

• Experience with Amazon Bedrock, SageMaker, Azure OpenAI, or Vertex AI
• Familiarity with LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, or AutoGen
• Experience with vector databases such as Pinecone, Weaviate, Milvus, Qdrant, or Chroma
• Experience integrating AI with Salesforce, ServiceNow, SAP, or Workday
• Snowflake, AWS, Azure, or AI/ML certifications
• Consulting experience within regulated industries

About the Company

BlueCloud is a Snowflake Elite Partner helping enterprise organizations move to unified, AI-ready Snowflake platforms. We deliver data migration, engineering, governance, BI, and AI/ML solutions across various industries including Financial Services, Healthcare, and Manufacturing.