Avanade
AI

Azure Databricks GenAI Engineer

Avanade · London, ENG, GB

Actively hiring Posted 6 months ago

Job Description

Summary

We are searching for a skilled GenAI Engineer to build generative AI solutions on Azure Databricks . Candidates should have experience in software engineering, data science, or machine learning, and be skilled with Mosaic AI, MLFlow and rest of the Databricks ecosystem such as Genie, Databricks One, and Unity Catalog (UC) Business semantics.

As part of our team, you will have the opportunity to collaborate with industry experts, contribute to innovative projects, and play a key role in shaping next-generation GenAI solutions within a dynamic and supportive environment. We value curiosity, adaptability, and a passion for leveraging cutting-edge technologies to address real-world challenges. If you thrive on solving complex problems and are eager to make a tangible impact in the rapidly evolving field of generative AI, we encourage you to apply and join us on this exciting journey.

Key requirements

  • Design, development, and delivery of enterprise-grade analytics solutions based on Azure and Databricks technologies

  • Evangelise and evolve best practices for our clients and our team including to mentor your colleagues, supporting their personal development

  • Constantly developing technical skills in the latest Azure and Databricks technologies - achieving & maintaining relevant certifications

  • Working directly with high profile clients across a variety of sectors to understand their requirements and present solutions to customer sponsors

Qualification

  • Proven experience with Databricks, including Unity Catalog, MLflow, Mosaic AI and Delta Live Tables.
  • Strong understanding of Generative AI concepts, including LLMs, RAG, embeddings, and prompt tuning.
  • Experience with vector databases and embedding models.
  • Familiarity with cloud platforms (Azure preferred) and CI/CD pipelines.
  • Excellent problem-solving and communication skills.

You'll stand out if you also meet any of the following:

  • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact.
  • Experience with LangChain, Databricks Mosaic AI, or similar frameworks.
  • Knowledge of data governance and security in enterprise environments.
  • Experience deploying GenAI solutions in production environments.
  • You are familiar with core agent communication protocols, including MCP or A2A.
  • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks.
  • Bachelor's in computer science, data science, or a related field

  • Minimum of one year of proven experience developing GenAI/Agentic AI solutions using Databricks ecosystem.

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Machine Learning Data Science Generative Ai
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.