{"schemaVersion":"jobsearcher.job.v1","id":"874589ceccb4575304a97f0e","url":"https://jobsearcher.com/jobs/874589ceccb4575304a97f0e","canonicalUrl":"https://jobsearcher.com/jobs/874589ceccb4575304a97f0e","title":"AI Engineer - FDE (Forward Deployed Engineer)","description":"AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)\nCSQ327R177\nMission\nThe 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. Open to remote locations.\nThis role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.\nThe impact you will have:\nDevelop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems\nOwn production rollouts of consumer and internally facing GenAI applications\nServe as a trusted technical advisor to customers across a variety of domains\nPresent at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\nCollaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\nWhat we look for:\nExperience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\nExpertise in deploying production-grade GenAI applications, including evaluation and optimizations\nExtensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\nExperience building production-grade machine learning deployments on AWS, Azure, or GCP\nGraduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\nExperience communicating and/or teaching technical concepts to non-technical and technical audiences alike\nPassion for collaboration, life-long learning, and driving business value through AI\n[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\nWilling to travel once every 4-8 weeks to see customers (as needed)\nPay Range Transparency\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\n\nLocal Pay Range\n$152,900—$210,155 USD\nAbout Databricks\nDatabricks 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, X, YouTube, and Instagram.\n\nBenefits\n\nAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.\n\nOur Commitment to Diversity and Inclusion\nAt 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.\nCompliance\nIf 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.","company":"Databricks","rawCompany":"databricks","city":"Denver","state":"CO","isRemote":false,"isActive":true,"createdAt":"2026-08-14T12:04:35.580Z","occupations":[{"code":"15-2051.00","title":"Data Scientists","slug":"data-scientists"},{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"AI Engineer - FDE (Forward Deployed Engineer)","description":"AI Engineer - FDE (Forward Deployed Engineer) (ALL LEVELS)\nCSQ327R177\nMission\nThe 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. Open to remote locations.\nThis role is intended for experienced engineers with demonstrated industry experience designing, building, and deploying production GenAI and LLM applications at scale. It is not intended for internship, new graduate, or entry-level applicants.\nThe impact you will have:\nDevelop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research to solve customer problems\nOwn production rollouts of consumer and internally facing GenAI applications\nServe as a trusted technical advisor to customers across a variety of domains\nPresent at conferences such as Data + AI Summit, recognized as a thought leader internally and externally\nCollaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap\nWhat we look for:\nExperience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy\nExpertise in deploying production-grade GenAI applications, including evaluation and optimizations\nExtensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc.\nExperience building production-grade machine learning deployments on AWS, Azure, or GCP\nGraduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience\nExperience communicating and/or teaching technical concepts to non-technical and technical audiences alike\nPassion for collaboration, life-long learning, and driving business value through AI\n[Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets\nWilling to travel once every 4-8 weeks to see customers (as needed)\nPay Range Transparency\nDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.\n\nLocal Pay Range\n$152,900—$210,155 USD\nAbout Databricks\nDatabricks 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, X, YouTube, and Instagram.\n\nBenefits\n\nAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.\n\nOur Commitment to Diversity and Inclusion\nAt 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.\nCompliance\nIf 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.","datePosted":"2026-08-14T12:04:35.580Z","dateModified":"2026-08-14T12:04:35.580Z","hiringOrganization":{"@type":"Organization","name":"Databricks","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Denver","addressRegion":"CO","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"874589ceccb4575304a97f0e"},"url":"https://jobsearcher.com/jobs/874589ceccb4575304a97f0e"}}