At a Glance
- Tasks: Design and implement cutting-edge ML and AI workloads, optimising pipelines and managing MLOps.
- Company: Join Databricks, a leader in data and AI solutions with a global impact.
- Benefits: Enjoy comprehensive benefits, competitive salary, and opportunities for professional growth.
- Other info: Dynamic work environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference in AI while collaborating with top industry experts.
- Qualifications: 10+ years in DS/ML, strong communication skills, and a passion for AI.
The predicted salary is between 70000 - 90000 £ per year.
Impact you will have
- Architecting Workloads: Design and implement production-level ML and AI workloads, including end-to-end pipelines, training/inference optimization, MLOps lifecycle management, and integration with cloud-native services.
- GenAI Leadership: Serve as a practitioner for enterprise GenAI solutions, specializing in RAG architectures, 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 for
- Experience: 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 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 systems.
- Experience 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 datasets.
- Communication: 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. Can meet expectations for technical training and role-specific outcomes within 3 months of hire. Can travel up to 30% when needed.
Sr. Specialist Solutions Architect in London employer: Databricks Inc.
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. Our commitment to employee growth is evident through comprehensive benefits, inclusive practices, and opportunities to engage with cutting-edge technology while working closely with industry-leading clients. Join us to make a meaningful impact in the data and AI landscape, where your contributions will be valued and recognised.
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We think this is how you could land Sr. Specialist Solutions Architect in London
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We think you need these skills to ace Sr. Specialist Solutions Architect in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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