Senior Solutions Architect (ds/ml/genai/llm)

Databricks Databricks · Data AI · London, United Kingdom · Field Engineering - Other

Senior Solutions Architect role at Databricks, focusing on Data Science, Machine Learning, Generative AI, and LLMs. The role involves developing customer engagement strategies, coaching junior architects, influencing stakeholders, and acting as a trusted advisor for Databricks Lakehouse platform adoption. Requires hands-on experience in technical pre-sales or consultancy with expertise in Data & AI solutions, including Generative AI concepts like fine-tuning, RAG, and MLOps for LLMs. Proficiency in programming languages (Python, SQL), Spark, big data analytics, and cloud platforms (AWS, Azure, GCP) is necessary, along with experience in designing and delivering complex proofs-of-concept (PoCs).

What you'd actually do

  1. Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
  2. Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
  3. You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.
  4. Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
  5. Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.

Skills

Required

  • Technical pre-sales or consultancy
  • Data Science
  • Machine Learning
  • Deep Learning
  • Artificial Intelligence
  • Generative AI
  • Architect end-to-end Data & AI solutions
  • fine-tuning
  • RAG
  • MLOps for LLMs
  • Python
  • SQL
  • Spark
  • big data analytics technologies
  • public cloud platforms (AWS, Azure, or GCP)
  • designing and delivering complex proofs-of-concept (PoCs)
  • technical sales capacity
  • use case discovery
  • solution scoping
  • solution architecture designs
  • coaching and mentoring junior team members

Nice to have

  • Databricks certifications
  • other relevant Cloud/Data certifications

What the JD emphasized

  • Hands-on experience in technical pre-sales or consultancy
  • Demonstrated ability to architect end-to-end Data & AI solutions
  • specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs)
  • Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs)
  • Proven ability to engage with customers in a technical sales capacity
  • Experience in the full pre-sales lifecycle
  • Demonstrated experience in coaching and mentoring junior team members

Other signals

  • customer-facing
  • pre-sales
  • architect end-to-end solutions
  • Generative AI concepts
  • fine-tuning
  • RAG
  • MLOps for LLMs
  • PoCs