Enterprise AI Architect: Data, Security & Governance

Brillio 2; New York (NY); On-site; USD 140,000 - 190,000; Full time

Job summary

Brillio is seeking an Applied AI Architect who will design enterprise‑scale AI foundations, focusing on data architecture, governance, security, and regulated environments. You will shape models, data flows, and production-grade AI platforms across cloud ecosystems.

You will partner with AI Builders and Value Engineers to translate complex regulatory requirements into practical, scalable solutions, enabling production deployments beyond experimentation.

Qualifications

• Extensive experience designing and deploying enterprise AI solutions.
• Strong knowledge of Generative AI, RAG, AI orchestration, and modern architectures.
• Experience in enterprise data pipelines, integrations, and scalable AI platforms.
• Ability to evaluate AI models and balance commercial vs open-source options.
• Familiarity with healthcare/financial data systems and regulatory constraints.

Responsibilities

• Design target architectures and scalable enterprise AI data pipelines.
• Architect ETL/ELT, feature stores, vector databases, and AI data flows.
• Select AI models based on use case, performance, cost, and governance.
• Integrate AI with enterprise platforms (EHRs, core banking, CRM, data lakes/warehouses).
• Define AI governance, privacy, and responsible AI frameworks.
• Translate regulatory requirements into architectural controls.
• Incorporate security and IAM from day one in production environments.
• Design production environments on Azure, AWS, and Google platforms.
• Collaborate with AI Builders and Value Engineers across lifecycle.
• Establish MLOps foundations, CI/CD, observability, and model lifecycle management.

Skills

Enterprise Architect

AI/ML architectures

Data architecture

Governance & security

Regulatory compliance

Communication

Tools

Azure AI Foundry

AWS Bedrock

Google Vertex AI

LangGraph

LangChain

Job description

Brillio is seeking an Applied AI Architect who will design enterprise‑scale AI foundations, focusing on data architecture, governance, security, and regulated environments. You will shape models, data flows, and production-grade AI platforms across cloud ecosystems.

You will partner with AI Builders and Value Engineers to translate complex regulatory requirements into practical, scalable solutions, enabling production deployments beyond experimentation.