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Brillio
Brillio
1,001 – 5,000 कर्मचारी
H1B वीज़ा प्रायोजकबीमालॉजिस्टिक्सस्वास्थ्य सेवा
Brillio एक प्रौद्योगिकी परामर्श कंपनी है, जो स्वास्थ्य सेवा, बीमा, लॉजिस्टिक्स, वित्तीय सेवाओं, दूरसंचार और मीडिया, जीवन विज्ञान तथा खुदरा क्षेत्र के संगठनों को डिजिटल रूपांतरण की दिशा में आगे बढ़ने में सहायता करती है। इसका कार्य ग्राहक अनुभव, डेटा और एआई, जनरेटिव एआई, उत्पाद और प्लेटफ़ॉर्म इंजीनियरिंग तथा इंफ्रास्ट्रक्चर, क्लाउड और सुरक्षा जैसे क्षेत्रों में फैला हुआ है। Brillio इंजीनियरिंग विशेषज्ञता को उद्योग संबंधी ज्ञान के साथ जोड़कर डिजिटल उत्पाद विकसित करती है और प्रौद्योगिकी वातावरणों को आधुनिक बनाती है, जिससे व्यवसाय बदलती बाज़ार और प्रौद्योगिकी संबंधी मांगों के अनुरूप प्रतिक्रिया दे सकें।
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कंपनी की नौकरियाँ

Applied AI Architect - Brillio (Remote, New York)

Design governed, scalable AI platforms for Brillio’s enterprise technology clients. Integrate data, cloud infrastructure, security, and production machine learning systems.

USसंयुक्त राज्यNYन्यूयॉर्क
$1,50,000 – $2,50,000 / वर्ष
रिमोटपूर्णकालिकमध्य स्तरवरिष्ठआवश्यक भाषा: अंग्रेज़ीAI इंजीनियरमशीन लर्निंग इंजीनियर
AWSAzureETL

विवरण

  • Develop reference architectures and scalable data pipelines for enterprise AI platforms
  • Design ETL/ELT workflows, feature stores, vector databases, knowledge layers, and AI data pipelines
  • Assess AI models against use-case fit, performance, cost, latency, security, and governance criteria
  • Architect AI integrations with EHRs, core banking platforms, CRM systems, data lakes, and data warehouses
  • Create and apply frameworks for AI governance, compliance, privacy, and responsible AI
  • Convert regulatory obligations into practical technical controls and architecture decisions
  • Incorporate security, privacy, identity and access management, and data residency requirements
  • Design production deployments using Azure AI Foundry, AWS Bedrock, and Google Vertex AI
  • Collaborate with AI Builders and Value Engineers throughout discovery, design, and production delivery
  • Build the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation
  • Advance AI initiatives from proof of concept to secure, scalable production deployment

आवश्यकताएँ

  • Demonstrated experience as an AI, machine learning, data, solutions, or enterprise architect, including hands-on AI solution delivery
  • Strong command of generative AI, agentic AI, retrieval-augmented generation, AI orchestration, and contemporary AI architectures
  • Background in enterprise data architecture, pipeline design, system integration, and scalable AI platform development
  • Experience comparing AI models and balancing commercial versus open-source options, as well as RAG versus fine-tuning
  • Practical experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain
  • Experience connecting AI solutions to enterprise systems and APIs
  • Deep understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance
  • Experience in regulated industries; familiarity with HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 is highly desirable
  • Experience governing PHI and PII, data residency, VPC deployments, IAM, access controls, and model inference security
  • Experience delivering production AI systems with CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks
  • Clear communicator who can turn complex technical, business, security, and regulatory needs into sound architecture decisions

लाभ

  • Recognition as a Great Place to Work®
  • Access to current and emerging technology work
  • The chance to address complex, high-impact business problems

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