Field Engineering, AI/ML Product Specialist
Application analysis
Field Engineering, AI/ML Product Specialist at Databricks is a forward deployed data & ai platform role for engineers who want customer-facing technical work with real deployment ownership.
Reading this role
This Forward Deployed Engineer role centers on embedded customer delivery — discovery, prototyping, integration, and production rollout. Key signals from the listing: AWS, Azure, GCP, Government / DoD context.
About Databricks
Databricks sells a unified data platform to enterprises. Forward deployed engineers help customers migrate workloads and prove value on live data. The role is anchored in Melbourne, Australia, so expect on-site customer work in that region.
Signals in the listing
Stand out for Field Engineering, AI/ML Product Specialist
- Lead your application with one paragraph tying Field Engineering, AI/ML Product Specialist to a specific customer or deployment you owned — Databricks hires for shipped outcomes, not tool lists.
- Prepare a 5-minute “week one on site” plan: who you would meet, what you would inspect in their stack, and what artifact you would deliver by day five.
- Show you can go from discovery notes → working integration → production checklist without needing a large internal team.
- State clearance status clearly up front (active, expired, or eligible) and mention any prior NIPR/SIPR, IL5, or government cloud accreditation work — recruiters filter on this early.
- This role is tied to Melbourne, Australia — mention willingness to work on-site with customers and any existing ties to that market (clients, partners, or domain knowledge).
Stand out at Databricks
- Demonstrate Spark/SQL fluency with a concrete example — Databricks will probe for specifics, not buzzwords.
- Demonstrate enterprise stakeholder management with a concrete example — Databricks will probe for specifics, not buzzwords.
- Strong candidates show they can whiteboard a lakehouse migration and then actually implement the first milestone.
- Read recent engineering blog posts, product launches, and customer stories on databricks.com — reference one explicitly in your outreach to show genuine interest.
Tailored from this listing’s title, company, and description. Always verify requirements on the company careers page before applying.
Role description
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Field Engineering, AI/ML Product Specialist
As the AI/ML Product Specialist, you will be defining our technical go to market strategy and driving our AI/ML 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/ML 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 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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.