Назад
22 часа назад

Specialist Solutions Architect - AI/ML

180 000 - 247 500$
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Specialist Solutions Architect - AI/ML (Generative AI/MLOps): Designing and deploying production AI/ML architectures on the Databricks unified platform, including AI agents, automated pipelines, and optimized model training and inference with an accent on enterprise GenAI implementation. Focus on building RAG and multi-agent systems, applying guardrails and evaluation, scaling MLOps workloads, and guiding customers through technical pre-sales architecture.

Location: United States

Salary: $180,000–$247,500 USD per year

Company

Databricks is a Data and AI company providing a unified platform for building and scaling data, AI, analytics, and agent applications.

What you will do

  • Design and deploy production-level ML and AI architectures on the Databricks unified platform.
  • Build AI agents, automated end-to-end pipelines, and optimized model training and inference workflows.
  • Implement enterprise Generative AI solutions using RAG, tool-calling, multi-agent orchestration, guardrails, evaluation, and observability.
  • Build and maintain scalable customer AI workloads using MLOps practices across multiple industries.
  • Support Solutions Architects and prospects during technical pre-sales, covering feature engineering, model tracking, serving, and monitoring.
  • Translate customer feedback into product insights and collaborate with Engineering and Product teams.

Requirements

  • 5+ years of hands-on industry experience in ML Engineering or AI Engineering.
  • Experience building cloud infrastructure for production ML applications and drift monitoring on AWS, Azure, or GCP.
  • Experience with LLMs, agentic systems, vector databases, fine-tuning, AI guardrails, and tools such as LangChain, Hugging Face, or OpenAI APIs.
  • Understanding of lakehouse architectures, Delta Lake, data modeling, and BI integration across major cloud platforms.
  • Ability to explain complex AI/ML concepts to technical and non-technical audiences.
  • Graduate degree in Computer Science, Engineering, Statistics, or a related quantitative field, or equivalent practical experience; ability to travel up to 30% and complete role-specific milestones within the first six months.

Nice to have

  • Prior experience in pre-sales or post-sales technical consulting.

Culture & Benefits

  • Comprehensive benefits and perks are offered, with details varying by region.
  • Commitment to a diverse and inclusive workplace.
  • Annual performance bonus and equity may be included in the total compensation package.
  • The role may require access to export-controlled technology or source code, subject to U.S. government licensing decisions.

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