Sr. Specialist Solutions Architect
Databricks is hiring a Sr. Specialist Solutions Architect in Singapore, Singapore. Level rates it ; you can apply on Databricks.
Level's read on this job
- Level rates this solutions architect role Works on AI ●●●○: the daily work is on AI products, without building the model.
- The posting mentions OpenAI, Claude and Mistral among its tools and skills.
- Level classes it as a senior role.
- Databricks has 894 other open roles on Level.
AI in this role
Senior Solutions Architect to drive AI product adoption and technical GTM strategy across the APAC region.
FEQ128R1
Location: Singapore
As the AI Product Specialist, you will be defining our technical go to market strategy and driving our AI product adoption in the Asia Pacific and Japan region.
You will be directly working with customers to guide and influence their data application architecture and decisions. You will be expected to present, demo and pitch Databricks AI/ML product suite and you will be acting as a trusted advisor for senior executives and your in-depth technical knowledge will ensure our customers are successful in leveraging Databricks to solve their business problems.
You will be the technical expert to support our field engineering teams internally and you will be expected to help enable the team to understand the key differentiators of our product against our competitors. You will partner with product managers to help to define the product direction based on local knowledge and inform our product strategy with our go-to-market field teams. You will not have any direct reports but will recruit and lead a group of specialists across the field dedicated to scale your impact.
You will also be a thought leader externally to the market via speaking at conferences, online webinars, and blog posts. You will meet with customers to communicate the vision and gather feedback.
You have expertise in designing and delivering cloud-based Data Visualisation and Analytics Solutions. You will bring your in depth knowledge and experience of building production level data applications leveraging different technologies. You will excel in creating and articulating a compelling value proposition for our customers and enabling Account Executives and Field Engineers to operate effectively using best practices and assets that you own and develop.
The impact you will have:
- Lead the vision and strategy for AI products adoption in Asia Pacific and Japan
- Develop materials for our GTM team to effectively communicate our value proposition
- Support our field teams in key strategic pursuit opportunities
- Work with a team of subject matter experts (SMEs) to scale your impact in local regions and enable the broader field team to have confidence in competing in the market
- Act as the thought leader to build confidence and relationships with our customers at the executive level
- Present externally at conferences, events and webinars and publish content to establish our position in the market
- Work with our FDE teams and partners to establish best practices
- Act as a cross-functional representative with Product Management, Product Marketing and Engineering on our go-to-market motion
What we look for:
- 6+ years of experience in Data Science, Machine Learning and 2+ years in production Gen AI
- Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP).
- Trusted advisor to technical executives that inform strategic data decisions
- Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams.
- Expertise in traditional Machine Learning methodologies and have deployed large scale production systems
- Deep understanding of LLM application architectures (RAG, agentic, fine-tuning), agent frameworks (LangGraph / LlamaIndex / AutoGen / DSPy), eval methodology and foundational model markets (Claude, Llama, Mistral, OpenAI, open-source)
- Proven track record of successful pre-sales experience in competitive situations
- Ability to define and executive strategic program cross functionally
- High impact communication internally and externally
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.
How we rate this
Sr. Specialist Solutions Architect at Databricks rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Pay
- Typical solutions architect job
- $168k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through fine-tuning a model: what data did you use, and how did you check the result?
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where go to market was part of your work. What did you do?
- Tell me about a project where ai adoption was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Fine-tuning, Solutions Architecture, Go To Market, and AI Adoption. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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