AI/ML Engineer – Architect

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🤖 Machine Learning Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 16%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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BlueCloud

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2004

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

BlueCloud is a global tech company that specializes in transforming businesses through data, analytics, and generative AI. Their services include data engineering, analytics, software design, DevOps, and data governance, leveraging revolutionary AI technology to enhance decision-making and efficiency. As a recognized Data Cloud Services Growth Partner, BlueCloud provides end-to-end cloud solutions that empower organizations to maximize their data potential and support digital transformation through scalable and high-performing global teams.

📋 Description

• Design and implement enterprise-scale Generative AI solutions using Snowflake Cortex native capabilities • Define AI architecture, knowledge retrieval strategies, embedding models, chunking techniques, and semantic search patterns • Build scalable, secure, and governed AI applications • Develop AI applications using Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, Cortex AI Functions, and CoWork • Build intelligent assistants and business copilots using Snowflake native AI capabilities • Design and optimize advanced RAG pipelines with hybrid semantic and keyword search • Develop chunking, indexing, re-ranking, and context optimization strategies • Design, develop, and deploy autonomous AI agents using Cortex Agents • Build Planner–Tool–Executor–Refiner workflows • Integrate AI agents with enterprise tools, SQL, APIs, and business workflows • Evaluate, optimize, and monitor agent performance • Develop reusable prompt libraries and system prompts • Optimize prompts for accuracy, consistency, latency, and business relevance • Use Snowflake AI functions for summarization, classification, translation, sentiment analysis, and information extraction • Design AI evaluation frameworks using LLM-as-a-Judge methodologies • Measure faithfulness, relevancy, groundedness, toxicity, hallucination, response quality, and Agentic AI performance • Implement Cortex Guardrails and Responsible AI practices • Deploy AI applications across development, testing, and production environments • Implement CI/CD pipelines and deployment automation • Ensure governance, monitoring, observability, access controls, and lifecycle management • Optimize inference performance, latency, and Snowflake credit consumption • Monitor AI workloads and improve compute utilization • Design cost-effective AI architectures

🎯 Requirements

• 8+ years of experience in AI/ML, Data Engineering, or Data Platforms • Minimum 2+ years building production-grade Generative AI or LLM-based applications • Experience delivering enterprise AI solutions on Snowflake • Hands-on experience designing, developing, deploying, and evaluating Agentic AI applications • Strong hands-on experience with Snowflake Cortex native AI features, including Cortex Complete, Cortex Search, Cortex Analyst, Cortex Agents, CoWork, Snowflake AI Functions, Snowpark, and Snowflake Intelligence (preferred) • Strong expertise in RAG, prompt engineering, vector embeddings, semantic search, hybrid search, re-ranking, context window optimization, chunking strategies, and Agentic AI frameworks • Hands-on experience with AI evaluation frameworks, LLM-as-a-Judge, response evaluation metrics, hallucination detection, groundedness evaluation, Cortex Guardrails, Agentic AI evaluation, Responsible AI practices, and AI quality monitoring • Experience with production deployment of AI applications, AI governance and security, model lifecycle management, CI/CD pipelines, monitoring and observability, performance tuning, cost optimization, and Snowflake credit management • Advanced SQL, Python, Snowpark (Python), Python UDFs, REST APIs, Git, CI/CD, and Streamlit (preferred) • Experience with structured and unstructured data, PDFs, documents, meeting transcripts, knowledge bases, and enterprise document repositories • Strong understanding of vector databases, embedding models, cosine similarity, high-dimensional indexing, and enterprise search architectures • Ability to engage directly with enterprise customers in a fast-paced consulting environment • Demonstrated ability to architect, build, deploy, and support enterprise-grade Generative AI applications on Snowflake