[All remote jobs](https://jobicy.com/jobs.md)Open role[![Databricks logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/4e3f864ba9cf3c62d471e1c62414d098.jpg)](https://jobicy.com/company/databricks.md)Remote opportunity at[Databricks](https://jobicy.com/company/databricks.md) # AI Engineer – FDE (Forward Deployed Engineer) Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/databricks.md)Share28 Aug 2026Published32Listing views3Application actions27 Sep 2026Apply before Opportunity details ## About this role. AI SummaryDatabricks is seeking a customer-facing AI Forward Deployed Engineer to design, deploy, and scale production GenAI applications for client engagements. The role combines hands-on engineering in RAG, multi-agent systems, fine-tuning, LLMOps, cloud ML deployment, and large-scale data processing. The engineer will act as a trusted technical advisor, influence product direction through field insights, and communicate complex AI concepts to technical and non-technical stakeholders. Candidates must be UK-based for remote work and should expect customer travel approximately once every four to eight weeks as needed. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 5/5EasyHard ### Pace & Pressure 5/5RelaxedFast-paced ### Autonomy Level 5/5GuidedFull ownership ### Communication Load 5/5IndependentCollaborative AI insightThis is a senior, highly technical customer-delivery role requiring strong applied GenAI, production ML, cloud, data science, and stakeholder-management capabilities. The engineer must independently deliver novel solutions in ambiguous customer environments while representing technical expertise externally. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianHighly competitive$215,000US market range$170k–$260k0$286k AI insightNo actual salary, pay range, or other role compensation was disclosed in the posting. These figures are estimated USD annual US-market base-salary benchmarks for a senior AI/ML Forward Deployed Engineer; actual UK compensation may differ materially based on level, location, bonus, and equity. ## Core skills Skills and capabilities most closely associated with this opportunity. [Generative AI](https://jobicy.com/jobs?search_keywords=Generative%20AI.md)[LLMOps](https://jobicy.com/jobs?search_keywords=LLMOps.md)[Retrieval-Augmented Generation](https://jobicy.com/jobs?search_keywords=Retrieval-Augmented%20Generation.md)[Multi-Agent Systems](https://jobicy.com/jobs?search_keywords=Multi-Agent%20Systems.md)[Machine Learning](https://jobicy.com/jobs?search_keywords=Machine%20Learning.md)[Python](https://jobicy.com/jobs?search_keywords=Python.md)[PyTorch](https://jobicy.com/jobs?search_keywords=PyTorch.md)[scikit-learn](https://jobicy.com/jobs?search_keywords=scikit-learn.md)[AWS Azure GCP](https://jobicy.com/jobs?search_keywords=AWS%20Azure%20GCP.md)[Customer Consulting](https://jobicy.com/jobs?search_keywords=Customer%20Consulting.md) Sample interview questionsDescribe a production RAG application you built and how you evaluated its quality.I would explain the end-to-end architecture, including ingestion, chunking, embeddings, retrieval, reranking, prompt design, guardrails, and observability. I would describe using a representative evaluation set with measures such as groundedness, retrieval relevance, answer correctness, latency, and cost, then iterating based on user feedback and failure analysis. How would you approach a new customer engagement where the GenAI use case is not yet clearly defined? I would begin with stakeholder discovery to identify business outcomes, users, available data, risk constraints, and success metrics. I would prioritize a feasible high-value use case, validate data readiness, build a short proof of value, and define a staged path from prototype to secure, observable production deployment. What are the key considerations for deploying an LLM application in production? Key considerations include data security and access controls, model and prompt versioning, evaluation gates, monitoring for quality and drift, latency and cost controls, human-review paths, and incident response. I would also ensure the system has clear fallback behavior, auditability, and governance appropriate to the customer's domain. How do you explain the limitations of generative AI to a non-technical executive audience? I focus on business impact rather than model mechanics, explaining that GenAI is probabilistic and can produce plausible but incorrect outputs. I outline the controls that reduce risk—grounding with trusted data, evaluations, guardrails, approval workflows, and monitoring—and connect each control to the intended business outcome. How would you optimize a GenAI workflow that has strong answer quality but unacceptable latency and cost? I would profile the workflow to identify whether retrieval, model inference, excessive context, or repeated calls are the main drivers. Typical improvements include caching, reducing and reranking context, using smaller models for routing or simpler tasks, batching where appropriate, and setting quality thresholds so expensive model calls are reserved for cases that need them. AI Engineer – FDE (Forward Deployed Engineer) Req ID: CSQ427R191 Location: United Kingdom – Remote (must be based in the UK for this role) Mission The AI Forward Deployed Engineering (AI FDE) team is a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. We welcome remote applicants located near our offices. Preferred locations: London (UK), Reporting to: Senior Manager – AI FDE, EMEA The impact you will have: * Develop cutting-edge GenAI solutions, incorporating the latest techniques from [Databricks AI research](https://www.databricks.com/blog/category/databricks-ai?categories=databricks-ai%2Cai-research%2Cai-engineering) to solve customer problems * Own production rollouts of consumer and internally facing GenAI applications * Serve as a trusted technical advisor to customers across a variety of domains * Present at conferences such as Data + AI Summit, recognized as a thought leader internally and externally * Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap What we look for: * Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy * Expertise in deploying production-grade GenAI applications, including evaluation and optimizations * Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. * Experience building production-grade machine learning deployments on AWS, Azure, or GCP * Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience * Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike * Passion for collaboration, life-long learning, and driving business value through AI * [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets * Willing to travel once every 4-8 weeks to see customers (as needed) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on [LinkedIn](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click [here](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer’s discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. Show more [Apply now >](https://jobicy.com/jobs/151935-ai-engineer-fde-forward-deployed-engineer-2.md) > Annual salary information is not provided for this position. 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