Specialist Solutions Architect - Ai/ml (retail)

Databricks

United States
Base: $180,000 - $247,500 usd; bonus/equity: eligi...
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5+ years hands-on industry ml experience
Production-grade cloud infrastructure deployment
Genai and llm techniques including rag
** Databricks is seeking a Specialist Solutions Architect for AI/ML within the retail sector, tasked with guiding customers in architecting production-grade ML and AI applications using the Databricks platform. Ideal candidates should have significant hands-on experience in machine learning, particularly in cloud environments, and demonstrate strong communication skills. **

Job Summary

  • You will serve as a trusted technical expert guiding customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform.
  • The role involves building and optimizing enterprise GenAI solutions including RAG architectures, agentic systems, and AI evaluation frameworks.
  • Databricks offers a comprehensive benefits package and is committed to fair compensation practices with potential for annual performance bonuses and equity.

Matching Summary

Match Score: 75

** Databricks is seeking a Specialist Solutions Architect for AI/ML within the retail sector, tasked with guiding customers in architecting production-grade ML and AI applications using the Databricks platform. Ideal candidates should have significant hands-on experience in machine learning, particularly in cloud environments, and demonstrate strong communication skills. **

Salary

Base: $180,000 - $247,500 USD; Bonus/Equity: Eligible for annual performance bonus and equity; Benefits: Comprehensive benefits and perks listed

Skills & Requirements

Must-have

  • 5+ years hands-on industry ML experience
  • Production-grade cloud infrastructure deployment
  • GenAI and LLM techniques including RAG
  • Agentic systems and vector databases
  • MLOps for training and model monitoring

Nice-to-have

  • Customer-facing pre-sales or post-sales experience
  • Experience with HuggingFace, Langchain, OpenAI
  • Passion for collaboration and lifelong learning
  • Ability to mentor and teach technical concepts
  • Cross-functional product roadmap influence

Key Requirements

  • Graduate degree in quantitative discipline or equivalent practical experience
  • 5+ years of hands-on ML engineering or AI engineering experience
  • Preferred 2+ years customer-facing experience in pre-sales or post-sales roles

Work Rights

Not specified

Tailored Resume

Cover Letter