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8 дней назад

Senior Solution Architect (AI)

135 200 - 236 600$
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior Solution Architect (AI): Leading end-to-end architecture for complex enterprise data, analytics, and AI products with an accent on Databricks Lakehouse, scalable data platforms, and governed data products. Focus on designing RAG, embedding, agent, and large language model architectures, guiding production engineering solutions, and establishing standards for reliability, security, and observability.

Location: Edina, Minnesota, United States

Salary: $135,200–$236,600 per year, plus incentive eligibility.

Company

hirify.global develops enterprise data, analytics, and AI products and platforms.

What you will do

  • Lead end-to-end solution architecture for complex, cross-domain data, analytics, and AI products.
  • Define technical strategies and reference architectures for enterprise data and analytics platforms using Databricks Lakehouse, Delta Lake, and Unity Catalog.
  • Design scalable data architectures, pipelines, semantic layers, domain models, and data products integrating clinical, spend, operational, and enterprise data.
  • Establish standards for scalability, performance, reliability, security, governance, data quality, observability, and business continuity.
  • Design AI/ML and generative AI capabilities, including retrieval-augmented generation, embeddings, agents, and large language model orchestration.
  • Partner with product, engineering, data science, platform, and business stakeholders; guide engineering teams, evaluate technologies, lead proofs of concept, and communicate architectural decisions.

Requirements

  • Senior-level experience in solution architecture for enterprise data, analytics, and AI products.
  • Experience designing scalable data platforms, pipelines, semantic layers, domain models, and data products.
  • Knowledge of Databricks Lakehouse, Delta Lake, and Unity Catalog.
  • Experience with AI/ML and generative AI architectures, including RAG, embeddings, agents, and large language model orchestration.
  • Ability to define architecture standards, create technical documentation, evaluate technologies, and communicate trade-offs to technical and executive audiences.
  • Experience mentoring engineering teams and influencing technology roadmaps and investment decisions.

Culture & Benefits

  • Full-time employment with a comprehensive benefits plan.
  • Opportunities for personal and professional development.
  • Inclusive environment supporting employee engagement and contribution.
  • Incentive-eligible compensation.

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