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6 дней назад

Senior Solution Architect (AI)

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

Текст:
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TL;DR
Senior Solution Architect (AI/data): Designing end-to-end solutions that integrate Cognite SaaS offerings with customer ecosystems, with an accent on industrial data modeling, integrations, cloud platforms, and analytics. Focus on architecting robust implementations, contextualizing data in Cognite Data Fusion, and ensuring CI/CD, security, monitoring, and operational support.

Location: USA (Houston)

Company

hirify.global builds AI and data solutions for industrial digitalization, including SaaS products and low-code AI agents.

What you will do

  • Design complex end-to-end solutions integrating hirify.global SaaS offerings with customer portfolios and target architectures.
  • Map technical requirements with sales, delivery teams, data scientists, customers, and partners from discovery through implementation.
  • Select and apply data visualization technologies such as Power BI, Grafana, and Plotly Dash, and transformation technologies such as Databricks, Azure, GCP, and AWS.
  • Design data models and integrations using hirify.global data connectors, SQL, Python or Java, and REST APIs; efficiently model and contextualize data in hirify.global Data Fusion.
  • Ensure robust integrations and quality criteria including CI/CD, logging, security, monitoring, and reporting.
  • Define operational responsibilities and support agreements while advising customers and partners on hirify.global Data Fusion.

Requirements

  • 5+ years of experience as an application, data, solution, or enterprise architect, including 2+ years in the heavy asset industry such as oil and gas, manufacturing, or pharmaceuticals.
  • Experience with operational data and customer business drivers in the heavy asset industry.
  • Bachelor’s degree required; a master’s degree is a plus.
  • Consulting experience and the ability to negotiate requirements with customers and colleagues.
  • Experience with enterprise integration, customer relationships, or IT integration design, plus data and analytics projects and implementation leadership.
  • Broad experience with data and analytics stacks, business intelligence tools such as Power BI, SQL, and big-data tooling such as the Apache Spark ecosystem.
  • Experience with a public cloud, preferably AWS, GCP, or Azure, including network security, identity providers, and application hosting.
  • Experience with operations, support, change control, centralized monitoring, logging, and reporting.
  • DevOps mindset with experience in Git, CI/CD, deployment environments, data modeling, infrastructure solutions, data warehousing, and big-data architectures; willingness to contribute code for advanced topics.

Culture & Benefits

  • Competitive compensation, 401(k) with employer matching, and health, dental, vision, and disability coverage for employees and dependents.
  • Unlimited PTO and paid parental leave.
  • Paid mobile phone and WiFi.
  • International environment with 60+ nationalities and a focus on diversity, equality, and inclusion.
  • Opportunity to work on ambitious industrial digitalization projects and learn from domain experts.

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