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AI/ML Architect - Talent Pipeline

3 hours, 25 minutes ago
Not Available
Lead
AI (Artificial Intelligence)
Software Development
AWS Azure Deep Learning GCP Generative AI Kafka LLM Machine Learning Microservices MLOps NLP Salesforce SAP Snowflake Vertex AI
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BlueCloud

BlueCloud

BlueCloud is a global leader in cloud transformation, providing tailored solutions for Fortune 500 clients with a focus on innovation and customer service.

Internet Software & Services
201-500
Founded 2004
View All Jobs 9

Description

  • 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.
  • Implement Snowflake AI capabilities, including Cortex, Cortex Analyst, Cortex Search, Cortex Agents, and Snowpark ML.
  • Design ML and LLM pipelines for training, inference, evaluation, monitoring, and governance.
  • Integrate AI solutions with cloud platforms, enterprise applications, APIs, ETL/ELT tools, streaming systems, and third-party AI services.
  • Define reusable AI reference architectures, accelerators, technical standards, and governance frameworks.
  • Provide technical leadership through architecture and code reviews, design sessions, and production-readiness assessments.
  • Lead client discovery, solution design, estimation, technical presentations, proof of concepts, and pre-sales activities.
  • Collaborate with engineering, architecture, application, and business stakeholders throughout delivery.

Requirements

  • 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.
  • Strong knowledge 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 with 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.
  • Knowledge of AI security, governance, compliance, observability, and model monitoring.
  • Strong client-facing communication, technical leadership, stakeholder management, and relationship-building ability.
  • Experience with platforms such as Amazon Bedrock, SageMaker, Azure OpenAI, Azure AI Foundry, Azure ML, Vertex AI, LangChain, LangGraph, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or MCP (preferred).

Interested in this position?

Apply directly on the company website

Apply Now

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