Databricks
Specialist Solutions Architect - AI/ML at Databricks
$180,000–$247,500 / year
Apply for this positionRole overview
An at-a-glance view of the facts included with this Specialist Solutions Architect - AI/ML at Databricks listing.
- Company
- Databricks
- Location
- Remote, United States
- Work arrangement
- Remote
- Employment type
- Full-time
- Compensation
- $180,000–$247,500 / year
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Role overview
This job description has been rewritten in fresh language using the facts in the listing. Source credit and original listing details are available below.
Databricks is hiring a full-time AI/ML Specialist Solutions Architect for a remote position in the United States. The role leads customer AI/ML technical strategy, from early discovery through production implementation and expanded platform use, while advising customer architects, engineering leaders, and directors. The architect also develops a focused technical specialty and serves as an internal resource in that area.
The work includes designing production-scale AI/ML architectures, demonstrating Databricks solutions in competitive situations, coordinating Databricks specialists and partners, and sharing structured customer feedback to inform product direction. Solutions may cover RAG, tool calling, multi-agent orchestration, guardrails, evaluation, and observability.
The listed annual pay range is $180,000–$247,500. Actual compensation depends on candidate-specific factors, including skills, experience, certifications, training, and work location; the role may also include an annual performance bonus, equity, and region-specific benefits. Travel of up to 30% may be needed. If duties require access to export-controlled technology or source code, Databricks may choose whether to seek a U.S. government license and may decline to proceed with an applicant on that basis.
Role at a glance: Databricks seeks a remote U.S. AI/ML Solutions Architect to lead customer architecture and adoption, with annual pay of $180,000–$247,500.
Responsibilities mentioned in the listing
- Lead account-level AI/ML technical strategy from discovery through production deployment and growth in platform use.
- Design and guide complex, scalable AI/ML architectures, including RAG, tool calling, multi-agent systems, guardrails, evaluation, and observability.
- Advise customer architects, engineering leads, and directors, including through architecture reviews, whiteboarding, and trade-off analysis.
- Demonstrate Databricks solutions in competitive situations through custom-built technical work.
- Develop an emerging technical specialty and act as a go-to resource for the team in that area.
- Coordinate data science architects, solutions architects, and partners to address complex customer needs.
- Provide organized feedback on customer requirements and competitive gaps to influence product direction.
Qualifications stated in the listing
- At least 6 years in solutions architecture, technical presales, or a senior hands-on technical role.
- ML engineering experience building and maintaining AWS, Azure, or GCP infrastructure for production ML applications, including drift monitoring; and/or AI engineering experience with LLMs and agentic systems, vector databases, fine-tuning, guardrails, and tools such as LangChain, Hugging Face, or OpenAI APIs.
- Strong Python and SQL skills, including the ability to code, debug, and build solutions live.
- Deep knowledge of distributed data architecture, including scalable pipelines, streaming, lakehouse patterns, and cloud-native data platforms.
- Databricks Platform proficiency or the ability to develop it quickly, along with a developing specialty such as real-time or streaming systems, ML/AI, governance, or migrations.
- Experience deploying production workloads on AWS, Azure, or GCP, with attention to infrastructure, security, and governance.
- A record of increasing platform adoption and consumption within customer accounts.
- Strong communication skills for explaining complex technical designs in terms relevant to technical and executive audiences.
Full details from the source listing
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As an AI/ML Specialist Solutions Architect (SSA), 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
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.
