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10 дней назад

Solutions 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

Текст:
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TL;DR
Solutions Architect (AI): Designing and delivering scalable, secure, and reusable enterprise platform solutions spanning applications, APIs, integrations, data platforms, identity, AI, and cloud infrastructure with an accent on cloud-native architecture, systems design, and AI-enabled patterns. Focus on building proofs of concept, designing Graph RAG and agent orchestration solutions, and guiding engineering teams through complex end-to-end architecture.

Location: Irving, Texas, at hirify.global Corporate HQ

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

Company

hirify.global provides an enterprise environment focused on platform engineering, organizational capability, and professional development.

What you will do

  • Design end-to-end platform components, solutions, and reference architectures across applications, APIs, integrations, data platforms, identity, AI, and cloud infrastructure.
  • Build proofs of concept, automation scripts, tools, and reference implementations across application, data, security, AI, and integration use cases.
  • Lead architecture and design sessions with engineering teams and product stakeholders.
  • Own solution designs across functional, non-functional, operational, risk, and economic considerations.
  • Translate platform strategy into implementation while mentoring teams and communicating with executives.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, or a related field; a master’s degree is preferred.
  • 10 or more years of software engineering experience, including at least 3 years in software architecture or systems design.
  • Hands-on development experience across all tiers, including recent experience designing, building, or integrating AI-enabled solutions.
  • Knowledge of data, ontology, application, AI, middleware, security, infrastructure, and cloud architecture.
  • Experience with data and ontology modeling, knowledge graphs, frontend frameworks, APIs, orchestration, middleware, IaC, Kubernetes, and FGA.
  • Experience with Graph RAG, OBO/Agent Identity, HITL, and agent orchestration patterns.

Culture & Benefits

  • Comprehensive employee benefits plan.
  • Opportunities for personal and professional development.
  • Inclusive environment supporting employee engagement and authentic contribution.
  • Incentive-eligible compensation.

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