Specialist Solutions Architect - AI/ML
at Databricks
Apply directly for Specialist Solutions Architect - AI/ML at Databricks. Verified 100% work-from-home position. View requirements, benefits, salary & direct application link.
Job Overview
Published
Aug 31, 2026
Expires
Sep 15, 2026
Source
Databricks
Region
US
Type
Remote / Work From Home
Category
WFH
Seniority
Entry Level
Job Description
P-226 As an AI/ML Specialist Solutions Architect (SSA), 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) 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 Can travel up to 30% when needed About Databricks Databricks is the Data and AI company.
More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.
Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.
To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
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 .
Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel.
We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Remote Work Guidelines & Career Insights
Practical advice for succeeding as a remote professional in this role.
Asynchronous Productivity
High-performing remote teams prioritize asynchronous communication. Document your progress clearly in tickets, maintain organized project repositories, and communicate status updates proactively without waiting for real-time meetings.
Home Office & Security
Ensure a private, quiet workstation with a reliable high-speed broadband connection (min 50 Mbps). Maintain compliance with employer cybersecurity policies by utilizing secure password managers, 2FA authentication, and authorized VPN services.
Resume & Application Tips
Tailor your CV specifically to the requirements of Specialist Solutions Architect - AI/ML. Highlight quantifiable achievements from past roles (e.g. revenue growth, efficiency improvements, or software shipped) and showcase proven experience collaborating with remote teams.
Virtual Interview Prep
Test your video and audio hardware before virtual calls. Prepare concise STAR-format stories demonstrating how you manage time independently, handle conflicting priorities across different time zones, and solve complex problems autonomously.
Frequently Asked Questions
Key answers about the application process, remote setup, and compensation for Specialist Solutions Architect - AI/ML.
Is the Specialist Solutions Architect - AI/ML role 100% remote?+
Yes, this is a fully remote work-from-home position with Databricks. You can collaborate asynchronously, manage project deliverables, and participate in virtual team meetings from your home office without daily commuting.
What qualifications and experience are needed for Specialist Solutions Architect - AI/ML?+
Applicants are typically evaluated on relevant industry background, core capabilities, and self-management. Key requirements include strong English communication skills, independent problem-solving abilities, and familiarity with modern remote collaboration platforms like Slack, Zoom, and project management tools.
Who is eligible to apply for this job?+
This remote opening welcomes applications from US and eligible remote regions. Candidates must ensure they meet the work authorization, residency, or independent contractor criteria required by Databricks.
What is the salary and benefits package for Specialist Solutions Architect - AI/ML?+
The expected compensation for this role is competitive compensation aligned with global remote market standards. In addition to base compensation, remote positions often provide flexible working hours, home office equipment stipends, and professional growth opportunities.
How do I apply and what should I prepare for the interview?+
Click the "Apply Now" button on this page to visit Databricks's official application portal. Tailor your resume to highlight relevant achievements, and prepare to discuss your experience working productively in an asynchronous remote environment.
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