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

Databricks Inc.; Greater London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading data and AI company is looking for a technical consultant in London to work with clients on implementing their Data Intelligence Platform. The successful candidate will have expertise in data science and AI solutions, engaging with customers during the pre-sales lifecycle. This role requires strong skills in technical consultancy, big data analytics, and client relationship management. Opportunities to coach junior team members and a customer-centric mindset are essential parts of this varied role.

Qualifications

• Hands-on experience in technical consultancy or pre-sales.
• Demonstrated ability to architect end-to-end AI solutions.
• Ability to engage customers in a technical sales capacity.

Responsibilities

• Form successful relationships with clients.
• Operate as a big data analytics expert.
• Create customized solutions using the Databricks platform.

Skills

Technical consultancy

Data Science / AI / Machine Learning / GenAI / LLM

Data Engineering

Public cloud platforms (AWS, Azure, GCP)

Customer relations

Proofs-of-concept

Tools

Python

SQL

Spark

Job description

London, United Kingdom

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).
• 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.

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

For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.

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.