BL
BlueAI/ML Architect - Talent Pipeline
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Before you apply
LocationOnshore
Work moderemote · United States
SeniorityLead
Experience10+ yrs
DepartmentBench Hiring, Planned Hiring
Company size10+ people
PostedJul 29, 2026 · 3mo ago
Verified live14h ago
Evergreen / pipeline role
This company keeps this posting open to collect applicants. It may not correspond to a specific current opening.80% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
10+ years of experience in solution architecture, AI/ML architecture, enterprise architecture, or technical delivery
Recent hands-on experience building and supporting production AI/ML and Generative AI solutions
Experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, prompt engineering, and AI evaluation
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, preferably AWS or Azure
Experience integrating AI platforms with APIs, microservices, SaaS applications, enterprise systems, Kafka, and event-driven architectures
Understanding of AI security, governance, compliance, observability, and model monitoring
Client-facing communication, technical leadership, and stakeholder-management skills
Ability to balance strategic architecture ownership with hands-on technical execution
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 platforms such as Salesforce, ServiceNow, SAP, Workday, or Microsoft applications
Snowflake, AWS, Azure, or AI/ML certifications
Consulting experience within regulated industries such as financial services, healthcare, or manufacturing
Skills
Snowflake
Snowflake Cortex
Cortex Analyst
Cortex Search
Cortex Agents
Snowpark ML
AWS
Azure
GCP
LLMs
RAG
vector databases
embedding pipelines
agentic AI
prompt engineering
AI evaluation
machine learning
deep learning
NLP
MLOps
LLMOps
Kafka
Amazon Bedrock
SageMaker
Azure OpenAI
Azure AI Foundry
Azure ML
Vertex AI
LangChain
LangGraph
LlamaIndex
Semantic Kernel
CrewAI
AutoGen
MCP
Pinecone
Weaviate
Milvus
Qdrant
Chroma
pgvector
Salesforce
ServiceNow
SAP
Workday
Microsoft applications
APIs
microservices
ETL/ELT
About the company
BlueCloud is a Snowflake Elite Partner and the 2026 CoCo Catalyst Snowflake Partner of the Year. We help enterprise organizations move from fragmented legacy systems to unified, AI-ready Snowflake platforms — delivering data migration, engineering, governance, BI & analytics, and AI/ML solutions 40–50% faster than traditional approaches.
With 450+ Snowflake consultants, 200+ enterprise transformations under our belt, and a 100% Snowflake focus, we combine advisory-led thinking with AI-powered accelerators to turn months of work into weeks of results. Our clients span Financial Services, Healthcare & Life Sciences, Retail, Manufacturing, Energy, and more — and the outcomes speak for themselves: 97% faster reports, 40% fraud reduction, $1.5M in client savings, and 10× client growth.
We don’t just strategize — we execute.
About the Role
BlueCloud is seeking an experienced AI/ML Architect to lead the architecture and delivery of enterprise-scale AI, machine learning, and Generative AI solutions.
This is a hands-on architecture role requiring recent experience designing, developing, integrating, and deploying production-grade AI solutions. You will work directly with enterprise clients to translate complex business needs into scalable, secure, and governed architectures across Snowflake, cloud platforms, data ecosystems, and enterprise applications.
Key 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, Snowpark ML, and related Snowflake AI capabilities.
•
Design scalable ML and LLM pipelines supporting training, inference, evaluation, monitoring, and governance.
•
Integrate AI solutions with AWS, Azure, or GCP, as well as enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services.
•
Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks.
•
Provide technical leadership through architecture reviews, code reviews, design sessions, and production-readiness assessments.
•
Lead client discovery workshops, solution design, effort estimation, technical presentations, proof-of-concepts, and pre-sales activities.
•
Collaborate with data engineers, ML engineers, application teams, architects, and business stakeholders throughout delivery.
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, embedding pipelines, 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, Snowpark ML, and Snowflake Native Apps.
•
Strong architecture experience across Snowflake and at least one major cloud platform, preferably AWS or Azure.
•
Experience integrating AI platforms with APIs, microservices, SaaS applications, enterprise systems, Kafka, and event-driven architectures.
•
Strong understanding of AI security, governance, compliance, observability, and model monitoring.
•
Excellent client-facing communication, technical 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 platforms such as Salesforce, ServiceNow, SAP, Workday, or Microsoft applications.
•
Snowflake, AWS, Azure, or AI/ML certifications.
•
Consulting experience within regulated industries such as financial services, healthcare, or manufacturing.
We are looking for someone who is experienced in building lasting relationships and is passionate about making meaningful contributions to our team. Don’t be mistaken, this is a challenging career path but also highly rewarding. Are you up for the challenge? If so, stop reading and start applying.