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8 дней назад

Sr. Architect, AI Data Integration

Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
India
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Sr. Architect, AI Data Integration (AWS/Azure): Designing enterprise-wide integration architectures that enable advanced analytics, machine learning, and AI capabilities with an accent on scalable data movement, governance, and cloud-native platforms. Focus on building AI agent integrations, connecting LLMs through APIs, and developing resilient real-time, batch, and hybrid-cloud data flows.

Location: Bangalore, Karnataka, India

Company

hirify.global develops vital organ therapy solutions and digital services focused on improving kidney care and patient outcomes.

What you will do

  • Define and drive enterprise integration strategy for data and AI initiatives.
  • Design scalable, secure, and resilient integration architectures on AWS and Azure.
  • Develop real-time, batch, and near-real-time data movement patterns across cloud and hybrid environments.
  • Embed data lineage, governance, metadata management, and observability into integration designs.
  • Partner with data architects, engineers, scientists, enterprise architects, and regional teams.
  • Lead proof-of-concept initiatives and create reusable integration assets and frameworks.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 10+ years of experience in enterprise integration architecture, including at least 3 years focused on data-centric integrations.
  • Hands-on experience with AWS data and integration services such as Glue, Kinesis, Lambda, EventBridge, S3, and Redshift.
  • Production or advanced proof-of-concept experience with AI agents, agent frameworks, orchestration patterns, MCP, and LLM integrations via APIs.
  • Knowledge of RAG architectures, vector databases, embeddings, prompt management, tool calling, and agent workflows.
  • Experience with integration platforms such as MuleSoft, Apache Kafka, Informatica, or similar, plus strong communication and stakeholder management skills.

Nice to have

  • Experience in regulated industries such as healthcare or finance.
  • Knowledge of AI/ML pipelines, data lakehouse, data mesh, and real-time streaming architectures.
  • Experience with DevOps and CI/CD practices for integration development.
  • AWS, MuleSoft, or other relevant certifications.

Culture & Benefits

  • Work focused on improving patients’ lives through vital organ therapy innovation.
  • Collaboration with global data, AI, integration, and enterprise architecture teams.
  • Commitment to providing reasonable accommodations during the application and interview process.

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