DA

Specialist Solutions Architect - AI/ML

databricks· 855 open roles

Location TBD On-siteFull-time3 weeks ago
Salary
$180,000 - $247,500
Experience
Mid
Job Type
Full-time
Posted
3 weeks ago
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About This RoleAI processing…

As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization. You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.

Key Responsibilities

  • 1
    P-226 As a Specialist Solutions Architect (SSA) - AI/ML Engineering, you will be the trusted technical ML & AI expert to both Databricks customers and the Field Engineering organization.
  • 2
    You will work with Solution Architects to guide customers in architecting production-grade ML & AI applications on Databricks, while aligning their technical roadmap with the continually evolving Databricks Data Intelligence Platform.
  • 3
    You will continue to strengthen your technical skills through applying cutting-edge technologies in GenAI, MLOps, and ML more broadly, expanding your impact through mentorship, and establishing yourself as an AI thought leader.
  • 4
    The impact you will have: Architect production-level ML & AI workloads for customers using our unified platform, including agents, end-to-end ML pipelines, training/inference optimization, integration with cloud-native services, MLOps, etc.
  • 5
    We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Requirements

  • 5+ years of hands-on industry ML experience in at least one of the following:
  • ML Engineer: Build and maintain production-grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
  • AI Engineer: Experience with the latest techniques in LLMs & agentic systems, including vector databases, fine-tuning LLMs, AI guardrail systems, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI

Perks & Benefits

The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

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