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Specialist Solutions Architect - AI/ML (Retail)

1 hour, 26 minutes ago
United States
Full-time
Senior
Machine Learning Engineer
Artificial Intelligence and Machine Learning
Apache Spark AWS Azure Databricks Feature Engineering GCP Generative AI LLM Machine Learning MLflow MLOps
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Databricks

Databricks

Databricks is the pioneering data intelligence platform, empowering organizations worldwide to solve complex data challenges with AI-driven analytics solutions.

IT Services
1K-5K
Founded 2013
$4450M raised
View All Jobs 165

Description

  • Architect production-level ML and AI workloads for customers on Databricks, including agents, end-to-end ML pipelines, training and inference optimization, cloud-native integrations, and MLOps.
  • Serve as a trusted technical expert for enterprise GenAI solutions, including RAG architectures, agentic systems, guardrails, natural language querying, evaluation, observability, and monitoring.
  • Build, scale, and optimize customer AI workloads and apply best-practice MLOps to productionize them across different domains.
  • Provide advanced technical support to Solution Architects during the technical sales process, covering feature engineering, training, tracking, serving, and model monitoring.
  • Collaborate with product and engineering teams to represent customer needs, define priorities, and influence the product roadmap.
  • Support adoption of Databricks AI offerings through cross-functional technical engagement.
  • Participate in the broader ML subject matter expert community at Databricks.
  • Strengthen technical expertise through hands-on work with GenAI, MLOps, and machine learning technologies.
  • Expand impact through mentorship and thought leadership in AI.

Requirements

  • 5+ years of hands-on industry ML experience.
  • Experience as an ML Engineer building and maintaining production-grade cloud infrastructure on AWS, Azure, or GCP, including support for deployment and drift monitoring.
  • Experience as an AI Engineer working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and deployment tools such as HuggingFace, LangChain, and OpenAI.
  • Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
  • Experience communicating and teaching technical concepts to both technical and non-technical audiences.
  • Passion for collaboration, lifelong learning, and driving business value through ML and AI.
  • Preferred: 2+ years of customer-facing experience in a pre-sales or post-sales role.
  • Ability to meet technical training and role-specific expectations within 3 months of hire.
  • Role can be remote, but preference is for candidates located in the job listing area.
  • Ability to travel up to 30% when needed.

Benefits

  • Base salary range of $180,000 to $247,500 USD depending on pay zone and candidate factors.
  • Eligibility for an annual performance bonus.
  • Equity may be included in the total compensation package.
  • Comprehensive benefits and perks offered to employees.
  • Remote work option for the role.
  • Opportunity to travel up to 30% when needed.

Interested in this position?

Apply directly on the company website

Apply Now

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