Applied AI Architect

Job not on LinkedIn

🔥 0 minutes ago

🌵 Arizona – Remote

🌵 Arizona – Remote

💵 $180k - $247.5k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 1%

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Databricks

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

💰 $1.6G Series H on 2021-08

Artificial Intelligence • Enterprise • SaaS

Databricks is a data and AI company that provides a unified platform for data engineering, machine learning, and analytics. It focuses on optimizing big data processing and helps organizations leverage Apache Spark to deliver deeper insights and powerful data-driven applications. Databricks also offers robust tools and seamless integration for machine learning operations.

📋 Description

• Own the end-to-end AI/ML technical strategy for accounts, from discovery through production deployment and consumption growth • Lead complex architecture discussions and design scalable, production-grade AI/ML solutions • Work with Retrieval-Augmented Generation, tool calling, multi-agent orchestration, guardrails, AI evaluation, and observability systems • Serve as a trusted technical advisor to customer architects, engineering leads, and Directors • Drive technical wins in competitive scenarios through custom-built solutions demonstrating Databricks differentiation • Develop and declare an emerging technical specialization and become a go-to resource for the Field Engineering team • Orchestrate DSAs, SAs, and partners to deliver comprehensive solutions • Influence product direction through structured feedback on customer requirements and competitive gaps

🎯 Requirements

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role • Experience in ML Engineering, including cloud infrastructure on AWS, Azure, or GCP for production ML applications and drift monitoring • Experience in AI Engineering with LLMs and agentic systems, vector databases, fine-tuning, AI guardrails, and frameworks such as LangChain, Hugging Face, or OpenAI APIs • Strong coding proficiency in Python and SQL, including live coding, debugging, and solution-building • Deep expertise in distributed data systems architecture, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms • Proficiency on the Databricks Platform or demonstrated ability to achieve proficiency rapidly • Developing technical specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations • Ability to lead architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis • Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance • Track record of driving platform adoption and consumption growth within accounts • Excellent communication skills for translating complex architectures into business value • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience • Willingness to travel up to 30% • Databricks certifications, competitive platform experience, data/AI company or cloud provider background, and industry domain expertise are nice to have

🏖️ Benefits

• Annual performance bonus eligibility • Equity eligibility • Comprehensive benefits and perks (region-specific details provided by Databricks) • Remote work

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