Lead GenAI Solutions Architect (Remote)

Neon

Amsterdam

Hybrid

EUR 140,000 - 200,000

Full time

10 days ago

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Job summary

Neon is seeking a Lead Solution Architect focused on Generative AI to empower our EMEA Emerging Digital Natives and Startups unit. You will serve as the deep technical authority on GenAI, guiding production-grade deployments and shaping customer roadmaps across Europe.

You will collaborate with Solutions Architects, Engineers, and Account teams to design, validate, and scale LLM workloads on Databricks, including Mosaic AI, Vector Search, and Unity Catalog, while mentoring a growing field team.

Qualifications

  • Proven expertise in GenAI systems and LLM deployments.
  • Strong Python/MLOps experience and production-grade implementation.
  • Experience with Databricks and cloud platforms (AWS/Azure/GCP).
  • Excellent communication with engineers and executives.

Responsibilities

  • Serve as deep technical authority on Generative AI and LLMs for EMEA DNB.
  • Design, scope, and de-risk GenAI use cases across accounts.
  • Build hands-on proofs of concept and reference implementations on Databricks.
  • Lead fine-tuning and model customization engagements for open LLMs.
  • Bridge product and field, feeding roadmap with customer feedback.
  • Mentor and enable the broader field engineering team.
  • Represent Databricks as a thought leader through talks and blogs.

Skills

GenAI
LLM expertise
Python
PyTorch
MLflow
Spark
Databricks
Mosaic AI
Model Serving
Vector Search
Unity Catalog
AWS
Azure
GCP
Communication
Mentorship

Tools

Mosaic AI
Model Serving
Vector Search
Unity Catalog
Databricks platform
AWS
Azure
GCP

Job description

Neon is seeking a Lead Solution Architect focused on Generative AI to empower our EMEA Emerging Digital Natives and Startups unit. You will serve as the deep technical authority on GenAI, guiding production-grade deployments and shaping customer roadmaps across Europe.

You will collaborate with Solutions Architects, Engineers, and Account teams to design, validate, and scale LLM workloads on Databricks, including Mosaic AI, Vector Search, and Unity Catalog, while mentoring a growing field team.

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