Specialist Solutions Architect - AI/ML
Location
United States
Posted
32 days ago
Salary
$180K - $247.5K / year
Seniority
Mid Level
Job Description
Specialist Solutions Architect - AI/ML
Databricks
Role Description 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. 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. - Serve as a trusted practitioner for enterprise GenAI solutions, including RAG architectures, agentic systems (tool-calling agents, multi-agent orchestration, guardrails), natural language querying of structured data, AI evaluation and observability, and monitoring systems. - Build, scale, and optimize customer AI workloads and apply best-in-class MLOps to productionize these workloads across a variety of domains. - Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving, to model monitoring, all within a single platform, as well as participating in the larger ML SME community in Databricks. - Collaborate cross-functionally with the product and engineering teams to represent the voice of the customer, define priorities, and influence the product roadmap, helping with the adoption of Databricks’ AI offerings. Qualifications - 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. - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. - Passion for collaboration, life-long learning, and driving business value through ML & AI. - [Preferred] 2+ years customer-facing experience in a pre-sales or post-sales role. - Can meet expectations for technical training and role-specific outcomes within 3 months of hire. - This role can be remote, but we prefer that you be located in the job listing area and can travel up to 30% when needed. Requirements - Pay Range Transparency: - Zone 1 Pay Range: $180,000 — $247,500 USD - Zone 2 Pay Range: $180,000 — $247,500 USD - Zone 3 Pay Range: $180,000 — $247,500 USD - Zone 4 Pay Range: $180,000 — $247,500 USD Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. - For specific details on the benefits offered in your region click here.
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