AI/ML Architect

BlueCloud; United States; Remote; USD 150,000 - 230,000; Full time

Job summary

BlueCloud is seeking an experienced AI/ML Solution Architect to lead end-to-end generative AI initiatives for enterprise clients in the United States. You will design scalable LLM pipelines, RAG solutions, and embedding workflows, and guide implementation across Snowflake Cortex and Snowpark ML with cloud partnerships (AWS/Azure/GCP).

You will drive technical governance, pre-sales involvement, and client workshops, delivering production-grade architectures while ensuring security and

Qualifications

• 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.

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

LLMs

RAG

Vector databases

Embedding pipelines

Agentic AI

Prompt engineering

MLOps

LLMOps

Snowflake Cortex

Snowpark ML

Cloud architectures

Tools

Snowflake Cortex

Cortex Analyst

Cortex Search

Cortex Agents

Snowpark ML

Snowflake Native Apps

AWS

Azure

GCP

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.