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2 дня назад

Marketing AI Workflow Architect (AI)

119 500 - 275 000$
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Marketing AI Workflow Architect (AI): Designing end-to-end AI-enabled architectures for marketing workflows and MarTech integrations with an accent on LLMs, retrieval-augmented generation, AI agents, data flows, and enterprise governance. Focus on streamlining data pipelines, specifying secure APIs and infrastructure, evaluating vendors, and enabling scalable AI deployment.

Location: Houston, Texas, United States; hybrid schedule with an average requirement of 2 days per week in an hirify.global office and up to 3 days per week onsite.

Salary: USD 119,500–275,000 annual base salary in Texas, with possible variable incentives.

Company

hirify.global is a global edge-to-cloud technology company helping organizations connect, protect, analyze, and act on data and applications.

What you will do

  • Assess marketing workflows, cross-team handoffs, dependencies, data flows, bottlenecks, and automation opportunities.
  • Design and align end-to-end AI-enabled marketing and MarTech architectures with enterprise standards.
  • Support the integration of AI agents, LLMs, retrieval-augmented generation, recommendation engines, and third-party AI tools.
  • Collaborate with data engineering, IT, platform engineering, security, legal, compliance, and AI/ML teams.
  • Define API, data pipeline, infrastructure, latency, throughput, availability, and resilience requirements.
  • Lead vendor evaluations, technical due diligence, and build-versus-buy decisions.

Requirements

  • Bachelor's degree in computer science, software engineering, or a related field.
  • Experience designing scalable, secure, enterprise-aligned AI and MarTech solutions.
  • Knowledge of LLMs, generative AI, retrieval-augmented generation, recommendation engines, and AI workflow orchestration.
  • Familiarity with Azure, AWS, or GCP, cloud services, networking, model endpoints, vector stores, and observability tools.
  • Experience with API design, system integration, data management, governance, security, privacy, compliance, and vendor risk assessment.
  • Ability to translate business needs into technical requirements, architecture blueprints, and implementation plans.

Nice to have

  • Master's degree or higher in a relevant discipline.
  • Cloud, enterprise architecture, or AI-related certifications.

Culture & Benefits

  • Health and wellbeing benefits for employees and their loved ones.
  • Personal and professional development programs supporting career growth.
  • Inclusive workplace focused on varied backgrounds, flexibility, collaboration, and innovation.

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