# Senior Specialist Solutions Architect

**Company:** [Databricks](https://hotfix.jobs/companies/databricks)
**Location:** Unspecified
**Role:** Solutions Architecture
**Experience:** 6+ years
**Skills:** Machine Learning, Data Science, Generative AI, AWS, Microsoft Azure, GCP, Data Visualization, Llm Architectures, Retrieval-Augmented Generation, Fine-Tuning, LangGraph, Llamaindex, Autogen, Dspy, Pre-Sales
**Posted:** 2026-09-02

> Leads AI product adoption and go-to-market strategy across Asia Pacific and Japan, advising customers and executives on data and AI architectures while enabling field teams. Requires substantial data science and machine learning experience, production generative AI expertise, cloud skills, and pre-sales leadership.

## Job Description

## Responsibilities
- Lead the vision and strategy for AI product adoption across Asia Pacific and Japan.
- Define technical go-to-market strategy and develop materials that communicate the product value proposition.
- Work directly with customers to guide data application architecture and strategic data decisions.
- Present, demonstrate, and pitch AI/ML products to customers and senior executives.
- Support field engineering teams and strategic pursuit opportunities, including competitive situations.
- Enable field teams through best practices, assets, and product differentiation guidance.
- Recruit and lead a group of specialist subject-matter experts across the field without direct reports.
- Partner with Product Management, Product Marketing, Engineering, field teams, and partners to shape product and go-to-market strategy.
- Present at conferences, events, and webinars and publish content to establish market leadership.
- Gather customer feedback and communicate product vision.

## Requirements
- 6+ years of experience in data science and machine learning.
- 2+ years of experience with production generative AI.
- Hands-on experience building solutions in AWS, Azure, or Google Cloud.
- Experience designing and delivering cloud-based data visualization and analytics solutions.
- Experience building and deploying large-scale production machine learning systems.
- Deep understanding of LLM application architectures, including RAG, agentic applications, and fine-tuning.
- Experience with agent frameworks such as LangGraph, LlamaIndex, AutoGen, or DSPy.
- Knowledge of evaluation methodologies and foundational model markets, including Claude, Llama, Mistral, OpenAI, and open-source models.
- Proven pre-sales experience in competitive situations.
- Ability to define and execute strategic cross-functional programs.
- Strong internal and external communication skills.
- Ability to advise technical executives and coordinate with Account Executives across large territories.

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