8 дней назад
Sr. Architect, AI Data Integration
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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