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Job description:
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AI Engineer - FDE (Forward Deployed
Engineer)
Req ID: CSQ427R334
We welcome remote applicants located
near our offices. Preferred locations:
Paris, France. Remote location for
candidates to be based in the France
region only (not remote from any other
country)
Mission
The AI Forward Deployed Engineering (AI
FDE) team is a highly specialised
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 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.
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 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
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.BenefitsAt 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.
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