Databricks

data and AI

SpecialistSolutionsArchitect-AI/ML

$180–248k New Jersey, United States
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Specialist Solutions Architect - AI/ML at Databricks. Skills: AI, ML, GenAI, MLOps, Solutions Architecture. Guide customers in architecting production-grade ML & AI applications on Databricks. Align customer technical roadmaps with the Databricks Data Intelligence Platform”

What You'll Achieve.

Architect production-grade ML & AI applications; Strengthen technical skills; Expand impact through mentorship; Establish as an AI thought leader; Productionize workloads across a variety of domains; Meet expectations for technical training and role-specific outcomes within 3 months of hire

Industry & Context.

data and AI
Eligibility Requirements

Can travel up to 30% when needed

What They're Looking For.

Must Have

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

Nice to Have

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

What You'll Do.

Guide customers in architecting production-grade ML & AI applications on Databricks

Align customer technical roadmaps with the Databricks Data Intelligence Platform

Architect production-level ML & AI workloads for customers

Serve as a trusted practitioner for enterprise GenAI solutions

and optimize customer AI workloads

Apply best-in-class MLOps to productionize workloads

Provide advanced technical support to Solution Architects during the technical sale

Participate in the larger ML SME community in Databricks

Represent the voice of the customer to product and engineering teams

Define priorities and influence the product roadmap

Help with the adoption of Databricks’ AI offerings

How You'll Work.

Team & Collaboration

Work with Solution Architects to guide customers; Collaborate cross-functionally with the product and engineering teams; Participate in the larger ML SME community in Databricks

Communication Scope

Communicating and/or teaching technical concepts to non-technical and technical audiences alike

Full Job Description

FEQ227R247 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. This role can be remote. 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 What we look for: 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) infrastructu

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