Applied AI Architect

🔥 1 minute ago

🗽 New York – Remote

🗽 New York – Remote

💵 $150k - $250k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 0%

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Brillio

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🏥 Healthcare

🛡️ Insurance

📦 Logistics

💰 Private Equity Round on 2019-01

Healthcare • Insurance • Logistics

Brillio is a technology consulting company that specializes in driving digital transformation for businesses across various industries such as banking, financial services, insurance, life sciences, telecom and media, healthcare, and retail. They focus on customer experience transformation, data and AI, product and platform engineering, and provide infrastructure, cloud, and security solutions. With an emphasis on engineering digital products and leveraging generative AI, Brillio aims to provide bespoke solutions that help businesses thrive in the age of AI and technological disruption. They also offer services to help businesses adapt to new technological challenges and turn disruptions into competitive advantages.

📋 Description

• Design target architectures and scalable data pipelines for enterprise AI systems • Architect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelines • Evaluate and select AI models based on use case, performance, cost, latency, security, and governance requirements • Design AI solutions integrating with EHRs, core banking systems, CRM platforms, data lakes, and data warehouses • Define and implement AI governance, compliance, privacy, and responsible AI frameworks • Translate regulatory requirements into concrete technical and architectural controls • Embed security, privacy, IAM, and data residency requirements • Design production environments across Azure AI Foundry, AWS Bedrock, and Google Vertex AI • Partner with AI Builders and Value Engineers from discovery through production • Establish foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation • Move AI solutions from proof-of-concept into secure, scalable production environments

🎯 Requirements

• Strong experience as an AI, ML, Data, Solutions, or Enterprise Architect, with hands-on experience designing and deploying AI solutions • Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures • Experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms • Experience evaluating AI models and understanding tradeoffs between commercial and open-source models, and RAG versus fine-tuning • Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain • Experience integrating AI with enterprise systems and APIs • Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance • Experience working within regulated environments; exposure to HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable • Experience with PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security • Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks • Strong communication skills and ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions

🏖️ Benefits

• Great Place to Work® recognition • Opportunity to work with cutting-edge technologies • Opportunity to solve complex, high-impact business challenges