AI/ML Architect (Snowflake)

Location: Remote, onshore

Company

hirify.global is a Snowflake-focused consulting partner delivering data migration, engineering, governance, analytics, and AI/ML transformations for enterprise clients.

What you will do

• Architect and deliver end-to-end AI/ML and Generative AI solutions from discovery through production.
• Design RAG systems, vector search solutions, embedding pipelines, AI agents, copilots, and multi-agent workflows.
• Lead implementation with Snowflake Cortex, Snowpark ML, Snowflake Native Apps, and related Snowflake AI capabilities.
• Integrate AI platforms with AWS, Azure, or GCP, enterprise applications, APIs, ETL/ELT platforms, streaming systems, and third-party AI services.
• Define reusable AI reference architectures, technical standards, accelerators, governance frameworks, and production-readiness practices.
• Lead client workshops, solution design, technical presentations, proof-of-concepts, architecture reviews, and pre-sales activities.

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.
• Strong experience with LLMs, RAG, vector databases, embedding pipelines, agentic AI, prompt engineering, and AI evaluation.
• Understanding of machine learning, deep learning, NLP, MLOps, LLMOps, AI security, governance, compliance, observability, and model monitoring.
• 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, plus strong client-facing communication and technical leadership skills.

Nice to have

• 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 Pinecone, Weaviate, Milvus, Qdrant, Chroma, or pgvector.
• Experience integrating AI solutions with Salesforce, ServiceNow, SAP, Workday, or Microsoft applications.
• Snowflake, AWS, Azure, or AI/ML certifications and consulting experience in regulated industries.

Culture & Benefits

• Remote, onshore work arrangement.
• Client-facing consulting environment focused on enterprise AI and Snowflake transformations.
• Opportunity to work across financial services, healthcare and life sciences, retail, manufacturing, energy, and other industries.
• Hands-on collaboration with data engineers, ML engineers, application teams, architects, and business stakeholders.