# Senior Specialist Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** London, United Kingdom
**Role:** Solutions Architecture
**Experience:** 10+ years
**Skills:** Machine Learning, Generative AI, MLOps, Llmops, RAG, AI Agents, Vector Databases, AWS, Azure, GCP, Spark, Data Engineering, Hugging Face, LangChain, Fine-Tuning
**Posted:** 2026-08-14

> This senior customer-facing architect designs and delivers production ML and generative AI workloads, supports technical sales, and influences AI platform strategy. The role requires 10+ years of data science or machine learning experience, distributed Spark expertise, and strong client communication skills.

## Job Description

## Responsibilities
- Design and implement production-level ML and AI workloads, including end-to-end pipelines, training and inference optimization, MLOps lifecycle management, and integration with cloud-native services.
- Lead enterprise generative AI solutions involving RAG architectures, agentic systems, tool calling, multi-agent orchestration, guardrails, AI observability, and natural-language querying of structured data.
- Provide advanced technical support to Solution Architects during technical sales cycles by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer challenges.
- Collaborate with product and engineering teams to represent customer needs, define priorities, and influence the platform AI roadmap.
- Create technical tutorials and training materials, present at industry conferences, lead hackathons, and drive AI platform adoption.
- Mentor colleagues and contribute technical thought leadership.

## Requirements
- 10+ years of hands-on industry data science or machine learning experience.
- Experience building and maintaining production-grade cloud infrastructure using AWS, Azure, or GCP for ML application deployment and model-performance monitoring; or experience applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools.
- Hands-on experience with distributed Spark-based systems and large-scale distributed datasets.
- Experience with data engineering concepts.
- Pre-sales or post-sales experience working with external clients across multiple industries; 5+ years of customer-facing experience preferred.
- Ability to communicate and teach complex technical concepts to technical and non-technical audiences.
- Ability to complete technical training and role-specific outcomes within 3 months of hire.
- Ability to travel up to 30% when needed.

## Preferred Qualifications
- Experience working with Apache Spark to process large-scale distributed datasets.
- Graduate degree in a quantitative discipline such as Computer Science, Engineering, Statistics, or Operations Research, or equivalent practical experience.
- Passion for lifelong learning, collaboration, and driving business value through AI.

## Benefits
- Comprehensive benefits and perks are offered, with details varying by region.

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