Enterprise AI/ML Architect for Snowflake & GenAI

BlueCloud; United States; On-site; USD 180,000 - 260,000; Full time

Job summary

BlueCloud is seeking an experienced AI/ML Architect to lead enterprise-scale AI, machine learning, and Generative AI initiatives. This hands-on role focuses on designing, developing, integrating, and deploying production-grade AI solutions for enterprise clients across Snowflake, cloud platforms, data ecosystems, and enterprise apps.

You will translate complex business needs into scalable, secure, and governed architectures while collaborating with data engineers, ML engineers, and business

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.

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.

Skills

AI/ML architecture

Solution architecture

LLMs and RAG

Vector databases

Embedding pipelines

Prompt engineering

MLOps

LLMOps

Snowflake Cortex

Snowpark ML

Cloud platforms AWS/Azure

API integration

Security & governance

Client-facing communication

Stakeholder management

Job description

BlueCloud is seeking an experienced AI/ML Architect to lead enterprise-scale AI, machine learning, and Generative AI initiatives. This hands-on role focuses on designing, developing, integrating, and deploying production-grade AI solutions for enterprise clients across Snowflake, cloud platforms, data ecosystems, and enterprise apps.

You will translate complex business needs into scalable, secure, and governed architectures while collaborating with data engineers, ML engineers, and business