Principal Consultant, AI Workforce – Snowflake Intelligence

Role Overview

• Partner with senior and C‑Suite stakeholders to identify “agent‑first” opportunities across business units and define multi‑phase AI Workforce roadmaps tied to clear business outcomes.
• Lead the design of complex, production‑grade agentic systems using Snowflake Intelligence (no‑code/low‑code) and Cortex Search/Analyst, emphasizing configuration and semantic modeling over custom code.
• Design multi‑step “Reasoning & Acting” (ReAct) flows using Snowflake’s UI, semantic layers, and native apps to orchestrate tools, policies, and data workflows.
• Architect high‑accuracy retrieval‑augmented generation (RAG) and knowledge solutions using Cortex Search, with patterns for content onboarding, relevance tuning, evaluation, and continuous improvement.
• Advise on necessary Snowflake Horizon policies and related governance capabilities to ensure agents are secure, auditable, and compliant with client and industry standards.
• Lead the most complex, ambiguous Snowflake AI engagements from discovery through production, acting as the escalation point and “safety net” for critical Snowflake Intelligence accounts.
• Develop phData‑wide blueprints, reference architectures, playbooks, guardrail templates, and ROI frameworks for Snowflake Intelligence–based agent deployments.
• Mentor Consultants and Senior Consultants, modeling how to own projects end‑to‑end and effectively engage executive stakeholders, while evangelizing LCNC agentic patterns across the practice.
• Partner with Sales and Solutions Engineering to scope complex AI Workforce opportunities, contribute to proposals, and help grow existing accounts by identifying “what’s next” for AI Workforce.

Requirements

• 8+ years in professional services or consulting with a proven track record leading multi‑million‑dollar digital, analytics, or AI transformations for enterprise clients.
• Deep expertise with Snowflake, including platform architecture, security, performance, and governance; comfortable with SQL/Python but biased toward native, low‑code features (Intelligence, Cortex, Native Apps) for maintainability and speed‑to‑market.
• Demonstrated experience designing and delivering AI/analytics solutions that span data engineering, BI/analytics, and business process change, beyond prototypes or proofs‑of‑concept.
• Significant hands‑on experience with enterprise LCNC tools (e.g., Copilot Studio, Agentforce, n8n, Make, Zapier Central) and a passion for bringing those patterns into the Snowflake Data Cloud.
• Proven ability to engage directly with senior and executive stakeholders and frame AI Workforce value in terms of OpEx reduction, risk reduction, and revenue growth.
• Experience leading cross‑functional project teams (consultants, data engineers, architects), including coaching and mentoring others in delivery excellence and career development.
• Strong communication skills across business and technical audiences, including the ability to clearly distinguish a simple “chatbot” from an autonomous Snowflake agent for non‑technical leaders.
• A bias for action, collaborative mindset, and ability to thrive in early‑adopter environments where patterns are still emerging and you help define the standards.

Tech Stack

• Cloud
• Python
• React
• SQL

Benefits

• Remote-First Work Environment
• Casual, award-winning small-business work environment
• Collaborative culture that prizes autonomy, creativity, and transparency
• Competitive comp, excellent benefits, generous PTO plan plus 10 Holidays (and other cool perks)
• Accelerated learning and professional development through advanced training and certifications