At a Glance
- Tasks: Design and implement cutting-edge ML and AI applications on the Databricks platform.
- Company: Join Databricks, a leading Data and AI company trusted by top global brands.
- Benefits: Enjoy comprehensive benefits, competitive salary, and opportunities for professional growth.
- Other info: Collaborative culture focused on diversity and inclusion, with excellent career advancement opportunities.
- Why this job: Be a thought leader in AI while shaping the future of technology.
- Qualifications: 10+ years in data science/ML with strong communication skills and a passion for learning.
The predicted salary is between 72000 - 88000 £ per year.
As a Senior Specialist Solutions Architect, you will serve as the trusted technical expert for Databricks customers and the Field Engineering organization. You will partner with Solution Architects to guide enterprise and strategic customers in architecting production-grade ML and AI applications on the Databricks Data Intelligence Platform. You will also continue to sharpen your technical expertise in cutting‑edge areas like GenAI, ML, MLOps, and LLMOps, while mentoring colleagues and establishing yourself as an AI thought leader.
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.
- Education: Graduate degree in a quantitative discipline (e.g., Computer Science, Engineering, Statistics, Operations Research, etc) or equivalent practical experience.
- 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 Databricks London, United Kingdom employer: Neura Market
Cognition is an exceptional employer, offering a dynamic work environment where innovation thrives and employees are empowered to tackle some of the world's most significant challenges in AI. With a small, talent-dense team comprised of industry leaders from top tech companies, employees benefit from unparalleled mentorship and growth opportunities while contributing to groundbreaking projects like Devin and Windsurf. Located in Europe, our collaborative culture fosters creativity and ambition, making it an ideal place for those looking to make a meaningful impact in the field of applied AI.
