AI Forward Deployed Engineer - Sweden

Databricks; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

Databricks Inc. is seeking an AI Engineer - FDE to develop GenAI solutions and own production rollouts for customer engagements. You will work with HuggingFace, LangChain, DSPy, and cross-functional teams to deliver production-grade AI applications.

Remote-friendly with preferred location near Stockholm or Sweden region; travel every 4-8 weeks. You will collaborate with product and engineering to shape the roadmap and mentor customers and internal teams, applying latest GenAI trends to drive

Qualifications

• Min 4 years' experience in AI/ML roles.
• Experience building GenAI applications including RAG and multi-agent systems.
• Experience deploying production-grade GenAI apps on cloud platforms (AWS, Azure, GCP).
• Strong knowledge of ML/data science tools: pandas, scikit-learn, PyTorch.
• Ability to communicate complex concepts to technical and non-technical audiences.
• Willingness to travel every 4-8 weeks.

Responsibilities

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from the company 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.

Skills

GenAI applications

RAG

multi-agent systems

Text2SQL

fine-tuning

production-grade deployments

communication of complex concepts

Education

Graduate degree in CS/Engineering/Statistics/OR or equivalent

Tools

HuggingFace

LangChain

DSPy

PyTorch

pandas

scikit-learn

Spark

AWS

Azure

GCP

Job description

AI Engineer - FDE (Forward Deployed Engineer)

We welcome remote applicants located near our offices. Preferred locations: Stockholm, Sweden. Remote location for candidates to be based in the Sweden region only (not remote from any other country).

Reporting to: Senior Manager - AI FDE, EMEA

The AI Forward Deployed Engineering (AI FDE) team is a highly specialised customer-facing AI team at the company. We deliver professional services engagements to help our customers build and productionise 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 specialisations 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.

The impact you will have:

• Develop cutting-edge GenAI solutions, incorporating the latest techniques from the company 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:

• Min 4 years' experience
• 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 optimisations
• 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 the company 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 the company

the company is the Data and AI company. More than 20,000 organisations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the the company Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, the company offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow the company on LinkedIn, X, YouTube, and Instagram.

**Benefits

**At the company, 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 the company, 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 the company 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.