AI Engineer FDE at Databricks - Remote Worldwide — Columbus
Traveler-Friendly Insight
This role at Databricks is listed as fully remote (headquartered in India) and explicitly open to remote locations worldwide, making it one of the more travel-friendly positions at a major tech company. However, there is a meaningful constraint: travel to customer sites is required once every 4–8 weeks, which means you need a reliable home base or a nomad routine that accommodates short-notice trips.
Timezone flexibility: The role does not specify fixed hours, but customer-facing work (advisory, presentations, production rollouts) often demands overlap with customer business hours. If your customers are primarily in India or APAC, nomad destinations like Bali, Chiang Mai, or Bangkok offer excellent timezone alignment (IST ±2.5–3.5 hours), ultra-low cost of living (~$800–1,500/month), and strong coworking infrastructure.
Cost of living comparison (assuming a competitive senior AI engineer salary of ~$120,000–$180,000 USD equivalent):
- Lisbon, Portugal: ~$2,500–3,500/month — comfortable lifestyle, EU digital nomad visa available for non-EU citizens
- Bangkok, Thailand: ~$1,200–2,000/month — excellent value, Thailand LTR visa suits remote workers earning above $80K
- Medellín, Colombia: ~$1,000–1,800/month — growing tech hub, Colombia digital nomad visa valid up to 2 years
The mandatory periodic customer travel means you should maintain a valid passport, flexible flight options, and possibly a base country for visa compliance. Equipment and coworking stipends are not explicitly mentioned but Databricks' comprehensive benefits package may cover some expenses — check the regional benefits link in the posting.
Headquarters: Remote - India
CSQ326R35
AI Engineer - FDE (Forward Deployed Engineer)
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. Open to remote locations.
The impact you will have:
- Develop cutting-edge GenAI solutions, incorporating the latest techniques from Databricks AI research 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 (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, X, YouTube, and Instagram.
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.
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.
To apply: https://weworkremotely.com/remote-jobs/databricks-ai-engineer-fde-forward-deployed-engineer
Frequently Asked Questions
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