Applied AI Architect

Location: Remote, United States

Salary: $180,000–$247,500 USD per year

Company

Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

• Own end-to-end AI/ML technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade AI/ML solutions using RAG, tool calling, multi-agent orchestration, guardrails, evaluation, and observability.
• Advise customer architects, engineering leads, and Directors on technical strategy and trade-offs.
• Demonstrate Databricks differentiation through custom-built solutions and drive platform adoption in competitive scenarios.
• Develop a technical specialization and coordinate DSAs, SAs, and partners on complex customer solutions.
• Provide structured customer feedback to influence product direction.

Requirements

• 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role covering ML engineering or AI engineering.
• Experience building and maintaining AWS, Azure, or GCP infrastructure for production ML applications, including drift monitoring.
• Experience with LLMs and agentic systems, vector databases, fine-tuning, AI guardrails, and frameworks such as LangChain, Hugging Face, or OpenAI APIs.
• Strong Python and SQL coding skills, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to become proficient rapidly, with a developing specialization in an area such as real-time/streaming, ML/AI, data governance, or migrations.
• Experience leading architecture discussions with senior technical stakeholders through whiteboarding, design reviews, and trade-off analysis.
• Experience with public-cloud production deployments, 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 for technical and executive audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
• Willingness to travel up to 30% as needed.

Nice to have

• Databricks certifications in Data Engineering, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry expertise in Financial Services, Healthcare, Retail, Media, or related domains.

Culture & Benefits

• Comprehensive benefits and perks are available, with details varying by region.
• Inclusive hiring practices and a diverse workplace.
• Annual performance bonus and equity may be included in the compensation package.
• Employment may be subject to an employer determination regarding U.S. government licensing for access to export-controlled technology or source code.