Senior Specialist Solutions Architect - DS/ML/AI/GenAI

Databricks Inc.; Greater London; On-site; GBP 100,000 - 125,000; Full time

Job summary

A leading data and AI company is seeking a Senior Specialist Solutions Architect in London to guide customers in architecting production-grade ML applications. You will leverage your extensive ML expertise to provide technical support, collaborate with client teams, and optimize cloud infrastructure. Candidates should have over 5 years in a customer-facing role and be proficient in ML and cloud environments. This position offers opportunities for mentorship and advanced technical challenges.

Benefits

Comprehensive benefits

Commitment to diversity and inclusion

Qualifications

• 5+ years of customer-facing technical role experience.
• Pre-sales or post-sales experience in industry markets.
• Experience communicating technical concepts effectively.

Responsibilities

• Architect production-level ML workloads for customers.
• Provide advanced technical support during sales.
• Collaborate with product and engineering teams.

Skills

Customer-facing technical experience

Hands-on industry ML experience

Collaboration and communication skills

Tools

Apache Spark™

AWS

Azure

GCP

Job description

Senior Specialist Solutions Architect - DS/ML/AI/GenAI

London, United Kingdom

Req: FEQ127R163

Location: London

As a Senior Specialist Solutions Architect (Srv SSA) - ML Engineering, you will be the trusted technical ML expert to both Databricks customers and the Field Engineering organisation. You will work with Solution Architects to guide customers in architecting production‑grade ML applications on Databricks, while aligning their technical roadmap with the evolving Databricks Data Intelligence Platform. You will continue to strengthen your technical skills through applying the latest technologies in GenAI, LLMOps, and ML, while expanding your impact through mentorship and establishing yourself as an ML expert.

Impact

• Architect production‑level ML workloads for customers using our unified platform, including end‑to‑end ML pipelines, training/inference optimisation, integration with cloud‑native services and MLOps.
• Provide advanced technical support to Solution Architects during the technical sale, ranging from feature engineering, training, tracking, serving to model monitoring, all within a single platform, and participating in the larger ML SME community in Databricks.
• Collaborate with the product and engineering teams to represent the voice of the customer, define priorities and influence the product roadmap, helping with the adoption of Databricks’ ML offerings.
• Build and increase customer data science workloads and apply the best MLOps to productionize these workloads across a variety of domains.
• Serve as the trusted technical advisor for customers developing GenAI solutions, such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, content generation, and monitoring.

Requirements

• 5+ years of experience in a customer‑facing technical role. Pre‑sales or post‑sales experience working with external clients across a variety of industry markets.

Data Science/ML Skills

• 5+ years of hands‑on industry ML experience in at least one of the following:
• ML Engineer: Develop production‑grade cloud (AWS/Azure/GCP) infrastructure that supports the deployment of ML applications, including drift monitoring.
• Data Scientist: Experience with the latest techniques in natural language processing, including vector databases, fine‑tuning LLMs, and deploying LLMs with tools such as HuggingFace, Langchain, and OpenAI.
• Experience communicating and teaching technical concepts to non‑technical and technical audiences alike.
• Passion for collaboration, life‑long learning, and driving our values through ML.
• [Preferred] 2+ years customer‑facing experience in a pre‑sales or post‑sales role.
• [Preferred] Experience working with Apache Spark™ to process large‑scale distributed datasets.
• Can meet expectations for technical training and role‑specific outcomes within 3 months of hire.
• Can travel up to 30% when needed.

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.

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, 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.