Pre-sales Senior Technical Solutions Engineer (AI/ML)

TL;DR

Senior Technical Solutions Engineer (AI/ML): Driving technical value for clients by demonstrating the Databricks Data Intelligence Platform with an accent on AI/ML integration and Big Data architecture. Focus on designing customized solutions, authoring reference architectures, and guiding customers through complex data challenges.

Location: London, UK (or surrounding areas). Role requires travel to customer sites in the UK approximately 20-30% of the time.

Company

Databricks is the data and AI company providing a unified Data Intelligence Platform to democratize data, analytics, and AI for over 10,000 organizations worldwide.

What you will do

• Build successful relationships with clients in the assigned territory to provide technical and business value.
• Lead hands-on evaluations and Spark programming to demonstrate platform capabilities and integrate with cloud ecosystems.
• Act as a Big Data Analytics advisor on system architecture and design.
• Author reference architectures, how-to guides, and demo applications to support customers.
• Contribute to the technical community through workshops, seminars, and meet-ups.

Requirements

• Background in Data Science, Generative AI, or Machine Learning (Data Warehousing or Engineering also considered).
• Proven experience in technical customer-facing roles, specifically in pre-sales or post-sales.
• Proficiency in a core programming language such as PySpark, Python, Java, or Scala.
• Knowledge of a major public cloud platform (AWS, GCP, or Azure).
• Ability to identify customer pain points and deliver technical propositions independently.
• Must be based in London or surrounding areas for UK site visits.

Nice to have

• Databricks Certification.

Culture & Benefits

• Customer-centric mindset with a focus on proactiveness, innovation, and creativity.
• Collaborative environment that values experimentation and continuous improvement.
• Comprehensive benefits and perks tailored to the region.
• Commitment to diversity, inclusion, and equal employment opportunity standards.