Remote AI/ML Architect — Enterprise Solutions Lead

Databricks Inc.

United States

Remote

USD 180,000 - 248,000

Full time

2 days ago
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Job summary

Databricks Inc. is seeking an AI/ML Architect to own the end-to-end technical strategy for select accounts, driving production-grade deployments and platform adoption in a remote role within the United States.

You’ll lead complex architecture discussions, balance technical and executive communications, and shape data‑driven AI programs across Azure, AWS, and GCP. The role emphasizes deep expertise in LLMs, agentic systems, Python/SQL, and a strong track record in pre‑sales or senior technical

Qualifications

  • 6+ years in solutions architecture or senior pre‑sales.
  • Strong Python and SQL coding skills.
  • Experience with LLMs and agentic systems.
  • Cloud infrastructure experience (AWS/Azure/GCP).
  • Proficient with Databricks platform.
  • Willingness to travel up to 30%.

Responsibilities

  • Own end-to-end AI/ML technical strategy from discovery through deployment.
  • Lead architecture discussions for scalable, production-grade solutions.
  • Advise customer architects, engineering leads and Directors as a trusted technical advisor.
  • Drive technical wins by demonstrating differentiation with custom solutions.
  • Develop a declared technical specialization (archetype) for the team.
  • Coordinate cross‑functional resources to deliver complex customer solutions.

Skills

Solutions architecture
Python
SQL
LLMs
Agentic AI
Cloud platforms
Databricks platform

Education

Bachelor’s/Master’s in CS/Engineering

Tools

Databricks platform
LangChain
Hugging Face
OpenAI APIs
AWS/GCP/Azure

Job description

Databricks Inc. is seeking an AI/ML Architect to own the end-to-end technical strategy for select accounts, driving production-grade deployments and platform adoption in a remote role within the United States.

You’ll lead complex architecture discussions, balance technical and executive communications, and shape data‑driven AI programs across Azure, AWS, and GCP. The role emphasizes deep expertise in LLMs, agentic systems, Python/SQL, and a strong track record in pre‑sales or senior technical

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