Pre-sales Solutions Architect (AI/ML/GenAI/LLM - Digital Native Business)

JOB ID: FEQ426R335

Recruiter: Dina Hussain

Location: London, United Kingdom

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

Reporting to the Senior Manager, Field Engineering.

The impact you will have:

• Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives.


• Operate as an expert in big data analytics to excite customers about Databricks. You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform.


• Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers. Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field.


• Grow your knowledge and expertise to the level of a technical and/or industry specialist.

What we look for:
We are looking for a highly motivated and technically skilled individual to join our EMEA Digital Native Business Unit, focused on landing new customers across both enterprise and high-growth start-up segments. This role offers the opportunity to be based in the London Offices, with regular collaboration across the EMEA region and close alignment with our London-based team.

Core Technical Qualifications:

• Hands-on experience in technical consultancy and/or pre-sales with a strong background in Data Science / AI / Machine Learning / GenAI / LLM with knowledge in Data Engineering or Data Warehousing (DWH/BI)


• Demonstrated ability to architect end-to-end AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs).


• Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark.


• Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).


• Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs).

Pre-Sales & Customer-Facing Skills:

• Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions.


• Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives).


• A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams.

Seniority & Leadership:

• Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.

Logistics:

• Ability to commute to the London office regularly.


• Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits.

Nice to Have:

• Databricks or other relevant Cloud/Data certifications.