Applied AI Architect
- Salary
- $180,000 - $247,500
- Level
- Lead
- Work type
- Remote · US only
Not stated in the posting: visa.
Open. First seen 6 November 2026.
About the role
FEQ427R382
As an Applied AI Architect, you will lead the advanced AI/ML technical strategy for your customers — owning complex architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are further developing a technical specialization and are recognized within the Field Engineering team for depth in the specific domain.
This position can be remote.
The Impact You Will Have
- Own the end-to-end AI/ML technical strategy for your accounts, from discovery through production deployment and consumption growth
- Lead complex architecture discussions — designing scalable, production-grade solutions spanning AI/ML, including Retrieval-Augmented Generation (RAG), 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 by demonstrating Databricks’ differentiation through custom-built solutions
- Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
- Orchestrate cross-functional resources (DSAs, SAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role in the following areas:
- ML Engineering: Building and maintaining cloud infrastructure (AWS, Azure, or GCP) supporting production ML applications and drift monitoring
- AI Engineering: Working with LLMs and agentic systems, including vector databases, fine-tuning, AI guardrails, and frameworks like LangChain, Hugging Face, or OpenAI APIs
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both 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 (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.
Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Local Pay Range
$180,000—$247,500 USD
Databricks's standard text
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.
What this role asks for
Particular to this role
Hugging Face · LangChain · RAG · Snowflake · Vector Databases
Rare in Databricks's other 299 open postings.
In most of Databricks's ads
Unity
Named in most of its open postings, whatever the role.
75% of this description is written for the role. The rest is Databricks's standard text, folded away below.
Compared with Databricks's other open jobs.
The team: Field Engineering - FE Direct Regulated HIRES STEADILY
This role is one of 25 open in Field Engineering - FE Direct Regulated. 6 were posted in the last 30 days and the oldest in February: a team that hires all year rather than one being built.
WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS
Databricks (25 of 25), Unity (25 of 25), Python (21 of 25), Machine Learning (16 of 25), AWS (14 of 25), SQL (13 of 25), Azure (12 of 25)
OTHER ROLES ON THIS TEAM
- Solutions Architect posted Oct 27
- Solutions Architect - Financial Services (Hunter) posted Oct 22
- Solutions Architect- Public Sector (Federal Healthcare) posted Oct 19
- Solutions Architect posted Oct 13
- Sr. Solutions Architect posted Oct 9
- Solutions Architect - Financial Services & Insurance posted Sep 23
- Specialist Solutions Architect - Azure Infrastructure & AI Platform posted Aug 22
- Specialist Solutions Architect - AWS Infrastructure & AI Platform posted Aug 22
- Sr. Solutions Architect - Financial Services (Hunter) posted Aug 18
- Specialist Solutions Architect - AI/ML posted Aug 14
- Solutions Architect - Manufacturing posted Aug 13
- Senior Solutions Architect posted Aug 11
- Specialist Solutions Architect - Data Engineering & Warehousing (Financial Services) posted Aug 10
- Solutions Architect - Financial Services (Banking and Payments) posted Jul 27
- Sr. Solutions Architect posted Jul 21
- Manager, Field Engineering - MFG posted Jul 2
- Manager, Field Engineering (Specialist) - HCLS posted Jul 1
- Solutions Architect posted Jun 29
- Sr. Solutions Architect - Oil, Gas, and Energy posted Jun 29
- Manager, Field Engineering - Financial Services Industry posted Jun 2
- Solutions Architect - Public Sector (DoW - 4th Estate) posted May 11
- Solutions Architect - Financial Services (Professional Services) posted May 7
- Sr. Solutions Architect - Financial Services (Banking and Payments) posted Apr 15
- Director, Field Engineering posted Feb 24
From the team and dates on Databricks's own job board.
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