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# Senior Specialist Solutions Architect (AI/ML)

- **Company:** Inclusionat Databricks
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Information Engineering, Machine Learning, Performance Tuning, Large Language Models, Multi-Agent Systems, Apache Spark, AI Platforms, Information Technology, Deployment Automation, HuggingFace
- **Published:** August 23, 2026
- **Apply:** https://www.apply4u.co.uk/jobs/senior-specialist-solutions-architect-aiml/44904019

## About the Role

model performance.Data Science/AI: Applying advanced techniques in LLMs, agentic systems, vector databases, fine-tuning, and deployment tools (e.g., HuggingFace, Langchain).Hands-on experience working with Distributed Spark based systemsExperience with data engineering concepts or a good understanding of data engineering concepts Pre-sales or post-sales experience working with external clients across a variety of industry markets. Minimum of 5+ years of customer-facing experience would be preferred[Preferred] Experience working with Apache Spark to process large-scale distributed datasetsCommunication: Proven ability to communicate and teach complex technical concepts to both technical and non-technical audiences.Core Traits: Passion for lifelong learning, collaboration, and driving business value through AI.Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.Can meet

## Description

agentic systems (including tool-calling, multi-agent orchestration, and guardrails), AI observability, and natural language querying of structured data.Provide advanced technical support to Solution Architects during the technical sales cycle by building MVPs, leading deep-dive sessions, and aligning AI solutions with complex customer business challenges.Product Influence: Collaborate cross-functionally with product and engineering teams to represent the voice of the customer, define priorities, and influence the platform's AI roadmap.Thought Leadership: Drive community growth and AI platform adoption through the creation of technical tutorials and training materials, as well as by presenting at industry conferences and leading hackathons.What we look forExperience: 10+ years of hands-on industry DS/ML experience, with a focus on either:ML Engineering: Building/maintaining production-grade cloud infrastructure (AWS/Azure/GCP) that supports deployment of ML applications and monitoring ML


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