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4 дня назад

Lead Architect, Application & Product- AI

107 500 - 188 400$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
Lead Architect, Application & Product- AI (Cloud/AI Architecture): Shaping cloud, AI, and agentic products and platforms with an accent on scalable application, data, integration, security, and governance architecture. Focus on defining production-grade AI patterns, Architecture-as-Code artifacts, evaluation and observability strategies, and migration paths for complex enterprise systems.

Location: USA - Coppell, TX; hybrid work with attendance 8 days per month

Salary: $107,500.00–$188,400.00 USD, plus bonus eligibility

Company

hirify.global develops software and information solutions, including cloud, AI, and agentic products.

What you will do

  • Own the architecture of new cloud and AI products and the broader platform using cloud-first, API-first, and agentic-first approaches.
  • Define architecture standards, technical guardrails, reference architectures, specifications, ADRs, integration contracts, and reference implementations using Architecture-as-Code.
  • Analyze existing enterprise and legacy architectures and establish pragmatic evolution and migration paths.
  • Partner with Product and Engineering, conduct architecture, design, and security reviews, and drive alignment across technical stakeholders.
  • Define production-grade AI, agentic, integration, and evaluation patterns covering context engineering, orchestration, observability, traceability, performance, security, reliability, and cost optimization.
  • Ensure application and data architectures support scalable access, data quality, lineage, governance, and batch, real-time, and event-driven integration.

Requirements

  • Bachelor’s degree in computer science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.
  • 10+ years of software engineering experience, including significant application or product architecture responsibility for complex commercial software.
  • Hands-on experience architecting AI/ML, generative AI, or agentic capabilities in customer-facing production software is required.
  • Experience with the Agentic Product Development Lifecycle and Spec-Driven Development, including architecture specifications, evaluation strategies, and traceability.
  • Experience designing secure AI-enabled systems, including data protection, identity, access controls, threat modeling, and AI-specific security risks.
  • Strong expertise in cloud-native architectures, APIs, microservices, distributed systems, and integration architectures.
  • Experience with modern technology stacks, CI/CD, DevSecOps, and automated quality gates.
  • Knowledge of enterprise architecture, security, risk, compliance, and architecture governance, with the ability to incorporate these requirements early in the lifecycle.
  • Strong systems thinking, architectural judgment, communication, influencing, facilitation, and technical leadership skills, including leading through influence without direct authority.
  • Understanding of modern data architecture and production architecture, including data modeling, lineage, data quality, governance, observability, telemetry, reliability, resiliency, deployment, diagnostics, and operational effectiveness.
  • Ability to simplify complex technology landscapes, identify reusable patterns, reduce unnecessary variation, avoid over-engineering, and balance delivery velocity, AI-native development, technical excellence, and governance.

Nice to have

  • Master’s degree in a relevant technical or business discipline.

Culture & Benefits

  • Hybrid work arrangement requiring 8 days per month onsite.
  • Benefits include medical, dental, and vision plans; 401(k); FSA/HSA; commuter benefits; tuition assistance; vacation and sick time; and paid parental leave.
  • Applicants may be required to appear onsite at a hirify.global office during recruitment.

Hiring process

  • Interviews must be completed without AI tools, external prompts, AI-generated responses, or third-party support; violations may result in disqualification.
  • Virtual backgrounds must be removed, and the process includes in-person interviews.

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