Databricks · 9 hours ago
Specialist Solutions Architect - AI Tooling & System Management
United States
Full-time
Remote
Senior Level
$180K/yr - $248K/yr
5+ years expDatabricks is the data and AI company that empowers organizations worldwide with its Data Intelligence Platform. The Specialist Solutions Architect will build and manage AI tooling and system infrastructure to enhance customer outcomes and support Go-To-Market teams in technical demos and customer engagements.
Artificial Intelligence (AI)Big DataInformation TechnologyAnalyticsData IntegrationData ManagementData StorageMachine Learning
Responsibilities
Architect production-level AI tooling deployments that meet security, networking, and data integration requirements
Build and maintain internal AI tooling infrastructure for demos, learning, building POCs, and production workflows across platforms, including AI-assisted development environments, Databricks environments, and cloud-based tooling
Establish consistency in the AI tooling stack by defining standards, best practices, and reusable patterns that enable Field Engineering to build with AI efficiently and reliably at scale
Build context management infrastructure for agent networks, including vector databases, knowledge bases, and retrieval systems that ensure AI agents have access to the right information at the right time
Design and implement system integrations to bring data from enterprise sources into AI applications, ensuring secure, scalable, and reliable data flows
Develop internal applications to streamline Field Engineering workflows, improve demo and builder environments, and accelerate customer engagement velocity
Track adoption metrics and tooling effectiveness by instrumenting the AI tooling stack, building dashboards, and providing data-driven insights to leadership on adoption rates, productivity gains, and ROI
Manage AI tooling infrastructure and spend by overseeing cloud costs, monitoring consumption as teams scale, resolving capacity issues, and deploying automation to reduce operational overhead
Partner with Scale and Technical Enablement teams to develop documentation, AI-powered development patterns, and training materials
Support Solution Architects with custom proof of concept environments, AI tooling configurations, and technical guidance for customer engagements
Qualification
Required
5+ years experience in a technical role with expertise in Cloud Platforms & Architecture: Cloud-native architecture in AWS, Azure, or GCP; serverless architecture
5+ years experience in a technical role with expertise in AI Tooling: AI-assisted development platforms (Databricks AI Assistant, Claude Code, Cursor), prompt engineering, AI workflow automation
5+ years experience in a technical role with expertise in Context Management & Agent Networks: Vector databases, RAG (Retrieval Augmented Generation), embedding models, knowledge base systems, multi-agent orchestration
5+ years experience in a technical role with expertise in Application Development: Building internal tools and web applications with TypeScript/Node.js, Python, or similar modern stacks
5+ years experience in a technical role with expertise in Metrics & Analytics: Instrumentation and telemetry systems, dashboards, adoption tracking, measuring tool effectiveness, data visualization
5+ years experience in a technical role with expertise in System Integration & Data Pipelines: Designing integrations between enterprise systems, ETL processes, API design, data synchronization, event-driven architectures
5+ years experience in a technical role with expertise in Security & Platform Administration: Platform security, network security, data security, Gen AI & model security, encryption, vulnerability management, compliance, secure API integration, identity management, infrastructure management
5+ years experience in a technical role with expertise in Infrastructure Automation & DevOps: IaC tools (Terraform), CI/CD pipelines, GitOps workflows
Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent work experience
Hands-on experience with Python; proficiency in TypeScript/JavaScript highly desirable
2+ years experience with data technologies (Spark, Kafka, data pipelines) and modern application architectures
Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire
Preferred
Experience with modern web application frameworks (React, Next.js) and deployment patterns is a plus
Experience building solutions on Databricks is a big plus
Benefits
Eligibility for annual performance bonus
Equity
Comprehensive benefits and perks
Company
Databricks
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture.
5001-10000 employees
H1B Sponsorship
Databricks has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (385)
2024 (319)
2023 (227)
2022 (222)
2021 (166)
2020 (64)
Funding
Current Stage
Late StageTotal Funding
$29.05BKey Investors
JP MorganFidelity,Insight Partners,J.P. Morgan Asset ManagementAndreessen Horowitz,Insight Partners,MGX,Thrive Capital,WCM Investment Management
2026-02-09Debt Financing· $2B
2026-01-23Debt Financing· $1.8B
2025-12-16Series Unknown· $5B
Leadership Team
Ali Ghodsi
CEO and Co-founder
Ion Stoica
Co-Founder & Executive Chairman
Recent News
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2026-02-07
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