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Product Specialist - Gen AI (Sr. Specialist Solutions Architect)

Posted 30 Aug 2026
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Work experience
5 to 8 years
Full-time / part-time
Full-time
Job function
Degree level
Required language
English (Fluent)

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At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. Our customers leverage the Databricks Data Intelligence Platform to power their mission critical Data and AI applications to improve how their organisations leverage data and insights to make better decisions, faster. Customers rely on Databricks for the full range of data workloads, including data engineering, ETL, near real-time streaming, machine learning, SQL analytics, and advanced analytics.

As a Product Specialist - Gen AI (Sr. Specialist Solutions Architect) you will be a deep technical expert in Gen AI and Machine Learning and in how customers can be successful with these use-cases in the Lakehouse paradigm. You will work closely with both Product Management and the EMEA Field Engineering and Sales teams to act as the technical bridge between these critical organisations to help make the Data Intelligence Platform vision a reality for our customers. You will provide thought leadership on best practices around how to build and deploy agentic AI systems with Databricks. You will work closely with the Databricks Product Management team to drive adoption of Gen AI features and ensure a consistent product vision for the EMEA technical field. You will work closely with specific accounts on our most challenging Gen AI use-cases around reinforcement learning and fine-tuning in particular.

You will report directly to the Sr. Director Product Specialists Databricks Field Engineering. Databricks Field Engineering works with our current and future customers to grow adoption, win technical validations and advise customers on Gen AI best practices. The Product Specialist - Gen AI owns the enablement and escalations within the EMEA Field Engineering team around relevant features.

The impact you will have:

  • Deliver thought leadership in Gen AI best practices for the Databricks Data Intelligence Platform in the form of blogs, webinars, how to guides and technical know-how to the EMEA technical community and beyond.
  • Working with sales and FE leaders drive adoption of Gen AI across EMEA
  • Provide a strong, informed, and data-driven perspective in conversations with the Product and Engineering teams to influence our product strategy and priorities in how customers can and should bring Databricks into their Data strategies.
  • Provide guidance and oversight for large-scale enterprise Gen AI competitive scenarios, serving as a trusted technical advisor to senior tech leads and executives
  • Work closely with key customers on specific Gen AI use-cases helping translate research innovations into production grade AI applications

What we look for:

  • Experience designing and delivering production-grade Generative AI and Deep Learning solutions in customer or enterprise environments
  • Strong hands-on experience with LLMs and modern Deep Learning: Transformer architectures, PyTorch, and distributed/multi-GPU training
  • Hands-on experience taking LLM post-training beyond fine-tuning: SFT plus reinforcement learning–based methods — reward modeling, RLHF/RLAIF, or policy optimization (e.g., PPO, GRPO) — applied to steer models toward specific behaviors and quality criteria
  • Ability to advise customers on GenAI and Deep Learning architectures, translate requirements into technical solutions, and anticipate and remove implementation blockers
  • Strong hands-on experience with Python, SQL, Apache Spark, cloud platforms, and Lakehouse architectures; excellent communication skills and customer-facing/pre-sales experience are highly desirable.
  • Excellent communication skills; both written and verbal
  • Experience in pre-sales selling highly desired

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.

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.

Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to…


Founded by the original creators of Apache Spark™, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time-to-value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership. Databricks, venture-backed by Andreessen Horowitz, NEA and Battery Ventures, among others, has a global customer base that includes Viacom, Shell, and HP. For more information, visit www.databricks.com.

IT
Amsterdam
700 employees