AI Forward Deployed Engineer - Sweden

databricks; United States; À distance; USD 122 000 - 244 000; Plein temps

Avantages offerts par ce poste

Remote work within Sweden

Résumé du poste

Databricks in Sweden is seeking a customer-facing AI engineer to blend hands-on GenAI development with strategic consulting. You will work with product, engineering, and developer relations to shape GenAI priorities across LLMOps and ML platforms, ideally based near Stockholm.

You will design and deploy novel GenAI solutions, lead production rollouts, and advise customers on architecture. This role involves regular travel to client sites and participation in conferences.

Qualifications

• Hands-on experience building GenAI applications.
• Graduate degree in a quantitative field or equivalent.
• Ability to explain complex technical concepts clearly.
• Experience deploying production ML systems on cloud platforms.

Responsabilités

• Design and build GenAI solutions using state-of-the-art techniques for real customer problems.
• Lead end-to-end production rollouts of GenAI applications.
• Act as a trusted technical advisor across customer domains.
• Represent work at industry conferences and contribute thought leadership.
• Partner with product and engineering teams to influence roadmaps with field insights.

Connaissances

GenAI development

Data science

Technical communication

Customer-facing consultancy

Formation

Graduate degree in a quantitative discipline

Outils

HuggingFace

LangChain

DSPy

pandas

scikit-learn

PyTorch

AWS

Azure

GCP

Description du poste

Role overview

Join a customer-facing AI engineering team that delivers professional services engagements, helping clients design and ship first-of-a-kind generative AI applications. The role blends hands-on engineering with strategic consulting, working alongside product, engineering, and developer relations counterparts to shape long-term priorities across GenAI, LLMOps, and broader machine learning. You will report to the Senior Manager of AI Forward Deployed Engineering in EMEA, contributing a specialist skillset to an ensemble of practitioners, ideally based in or near Stockholm.

Responsibilities

• Design and build novel generative AI solutions that apply state-of-the-art techniques from recent AI research to real customer problems.
• Lead end-to-end production rollouts of both customer-facing and internal GenAI applications.
• Act as a trusted technical advisor across multiple customer domains, guiding architecture and implementation choices.
• Represent the work at major industry conferences and contribute to thought leadership both internally and externally.
• Partner with product and engineering teams to influence roadmap priorities based on field insights.

Requirements

• Hands-on experience building GenAI applications such as retrieval-augmented generation systems, multi-agent workflows, Text2SQL pipelines, or fine-tuned models.
• Familiarity with popular GenAI frameworks including HuggingFace, LangChain, and DSPy.
• Production deployment experience for generative AI, including evaluation pipelines and optimization strategies.
• Strong data science background using tools such as pandas, scikit-learn, and PyTorch.
• Proven track record deploying production-grade machine learning systems on AWS, Azure, or GCP.
• Graduate degree in a quantitative discipline (computer science, engineering, statistics, operations research, or similar) or equivalent practical experience.
• Ability to explain complex technical concepts clearly to both technical and non-technical audiences.

Nice to have

• Experience working with unified data and AI platforms and Apache Spark for large-scale distributed datasets.
• Comfort with regular customer travel, roughly once every four to eight weeks.

Benefits and work setup

• Region-specific benefits package, with details provided during the hiring process.
• Inclusive hiring practices and a stated commitment to equal opportunity.
• Remote work permitted within Sweden, with a preference for candidates near Stockholm.