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Databricks

Specialist Solutions Architect - AI/ML

Databricks is seeking a remote Specialist Solutions Architect - AI/ML to guide customers through advanced artificial intelligence and machine learning technical strategies. Operating as a trusted…

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Role Snapshot

Hiring Now
Work arrangement
Remote
Where applicants may be
Applicants in United States only
Salary
USD 180,000 - 247,500/yr
Apply by
Not specified
Employment type
Full-time
Experience
Not specified
Added to Jobsiz3h agoEmployer posted Nov 2, 2026
Listing Views1
Applications0
Apply BeforeNo deadline

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About This Role

Databricks is seeking a remote Specialist Solutions Architect - AI/ML to guide customers through advanced artificial intelligence and machine learning technical strategies. Operating as a trusted advisor to technical leadership and engineering teams, this role is responsible for driving platform adoption, leading complex architectural discussions, and positioning the company's data and AI solutions. Databricks operates as the Data and AI company, supporting over 20,000 global organizations with a unified platform…

Job Description

Databricks is seeking a remote Specialist Solutions Architect - AI/ML to guide customers through advanced artificial intelligence and machine learning technical strategies. Operating as a trusted advisor to technical leadership and engineering teams, this role is responsible for driving platform adoption, leading complex architectural discussions, and positioning the company's data and AI solutions.

Databricks operates as the Data and AI company, supporting over 20,000 global organizations with a unified platform encompassing Lakehouse, Unity Catalog, and various data and AI applications. This position suits an experienced technical professional who possesses a strong background in solutions architecture or technical pre-sales, and who can design scalable, production-grade solutions while collaborating across cross-functional teams.

Responsibilities

  • Own the end-to-end technical strategy for accounts from the initial discovery phase through production deployment and consumption growth
  • Lead complex architectural discussions covering multi-agent orchestration, retrieval-augmented generation, guardrails, tool calling, and evaluation systems
  • Act as a trusted technical advisor for customer architects, engineering leads, and directors
  • Drive technical wins in competitive situations by showcasing custom-built solutions that highlight platform differentiation
  • Coordinate cross-functional resources including partners and solutions architects to meet intricate customer needs
  • Provide structured feedback regarding customer requirements and competitive gaps to influence future product direction

Requirements

  • Six or more years of experience in technical pre-sales, solutions architecture, or a senior hands-on technical role
  • Experience building and maintaining cloud infrastructure on AWS, Azure, or GCP for production machine learning applications and drift monitoring
  • Working knowledge of large language models and agentic systems, including vector databases, fine-tuning, guardrails, and frameworks such as OpenAI APIs, Hugging Face, or LangChain
  • Strong coding proficiency in Python and SQL with the ability to perform live coding, debugging, and solution construction
  • Deep expertise in designing distributed data systems architecture, streaming architectures, scalable pipelines, lakehouse patterns, and cloud-native data platforms
  • Proven ability to lead architecture sessions involving whiteboarding, design reviews, and trade-off analysis with senior technical stakeholders
  • Experience managing production deployments on public cloud environments while handling infrastructure, security, and governance considerations

Qualifications

  • Bachelor's or Master's degree in Engineering, Computer Science, a quantitative discipline, or equivalent practical experience
  • Fostered a developing technical specialization in areas such as data governance, real-time and streaming, migrations, or machine learning and AI
  • Databricks certifications including Data Engineer, ML, or Platform
  • Prior background working with competitive platforms like Snowflake, Azure Synapse, or AWS native services
  • Professional background within a cloud provider or a data and AI company
  • Industry domain expertise in sectors such as Financial Services, Healthcare, Retail, or Media

Core Skills

Benefits

  • Comprehensive employee benefits and perks aligned with regional needs
  • Eligibility for an annual performance bonus and equity
  • Compensation package designed to support fair and equitable practices

Frequently Asked Questions

Answers are based only on the employer’s listing; where it doesn’t say, neither do we.

Is this position remote?

Yes, the source posting explicitly states that this position can be remote.

What is the salary range for this role?

The local pay range is USD 180,000 to 247,500 per year.

What level of experience is required?

Candidates must have six or more years of experience in solutions architecture, technical pre-sales, or a senior hands-on technical role within machine learning engineering or AI engineering.

Is travel required for this position?

The posting indicates a willingness to travel up to 30% as needed.

Sample Interview Questions

AI-generated questions tailored to this specific role — a preview of the full practice set.

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Posted by Databricks

Source: Jobicy

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Posted by employer: Nov 2, 2026

Added to Jobsiz: Nov 6, 2026

The description was written by Jobsiz from the employer’s listing. Always check the original listing before applying.

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