Enterprise AI Architect — Data, Security & Governance

Brillio; New York (NY); On-site; USD 150,000 - 250,000; Full time

Job summary

Brillio is seeking an Applied AI Architect who can shape the foundations of enterprise AI by aligning data architecture, AI/ML systems, cloud platforms, and governance. You’ll move solutions from proof-of-concept to secure, scalable production with strong emphasis on security and regulatory compliance.

Lead cross-functional teams, manage data residency and privacy, and design end-to-end AI data pipelines across platforms like Azure, AWS, and Google Vertex AI.

Qualifications

• Extensive experience designing and deploying enterprise AI solutions.
• Deep knowledge of AI governance, security, and regulatory compliance.
• Experience with healthcare data integrations (FHIR/HL7) and financial data a plus.
• Proven ability to translate business needs into scalable architectures.

Responsibilities

• 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 that integrate with enterprise platforms including 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 from day one.
• Design production environments across Azure AI Foundry, AWS Bedrock, and Google Vertex AI.
• Partner with AI Builders and Value Engineers throughout the lifecycle.

Skills

Enterprise Architect

AI Architect

Data Architecture

Tools

Azure AI Foundry

AWS Bedrock

Google Vertex AI

LangGraph

LangChain

Job description

Brillio is seeking an Applied AI Architect who can shape the foundations of enterprise AI by aligning data architecture, AI/ML systems, cloud platforms, and governance. You’ll move solutions from proof-of-concept to secure, scalable production with strong emphasis on security and regulatory compliance.

Lead cross-functional teams, manage data residency and privacy, and design end-to-end AI data pipelines across platforms like Azure, AWS, and Google Vertex AI.