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9 часов назад

Solution Architect (AI)

140 000 - 178 000$
Формат работы
hybrid
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
Solution Architect (AI/Data): Designing, implementing, and scaling customer data solutions for enterprise clients with an accent on data integration, governance, analytics, and AI-powered personalization. Focus on building scalable architectures, deploying AI/ML-driven customer use cases, troubleshooting complex integration challenges, and guiding client and internal technical teams.

Location: Hybrid, working from the Mountain View, California office

Yearly salary: $140,000–$178,000

Company

hirify.global provides an AI-powered agentic experience platform for customer acquisition, retention, personalization, and marketing execution.

What you will do

  • Lead technical discovery and architecture design sessions with enterprise customers.
  • Translate business requirements into scalable architectures, integration flows, and implementation plans using CDP, data workflows, connectors, and APIs.
  • Configure solutions and develop data pipelines, integrations, workflow automations, and identity-resolution capabilities.
  • Advise customers on data ingestion, transformation, governance, security, compliance, scalability, and performance.
  • Architect AI/ML-driven use cases including segmentation, predictions, customer journey orchestration, and personalized marketing.
  • Collaborate with engagement managers, solutions consultants, data engineers, QA, client stakeholders, and technology partners through successful go-lives.

Requirements

  • 5+ years of experience architecting and implementing large-scale data solutions, ideally in SaaS, martech, adtech, CDP, or enterprise cloud environments.
  • Experience designing complex data architectures, ETL/ELT pipelines, APIs, integrations, and workflow automations.
  • Hands-on skills with SQL, Python, JavaScript, and AWS, GCP, or Azure.
  • Strong understanding of customer data models, GDPR/CCPA compliance, and identity resolution.
  • Experience with segmentation, analytics, personalization, activation, and omnichannel orchestration.
  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience; strong client communication and consultative problem-solving skills.

Nice to have

  • Cloud, data engineering, or solution architecture certifications.
  • Experience integrating AI/ML models, LLMs, or AI agents into customer data and analytics platforms.
  • Experience building chatbots, workflow automation, or agent-based orchestration solutions.
  • Familiarity with Treasure Data or similar enterprise CDP platforms and advanced martech/adtech stacks.

Culture & Benefits

  • Global hybrid working policy with office-based work in Mountain View for this role.
  • Medical, dental, and vision plans with an Employee Assistance Program.
  • Company-paid life insurance, short- and long-term disability coverage, and a 401(k) with a 4% company match.
  • Restricted Stock Units and Flexible Time Off.
  • Up to 26 weeks of paid parental leave and global reproductive health and family-building support.
  • Commitment to diversity, equity, inclusion, belonging, growth, ownership, and innovation.

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