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Applied AI Architect

  • Applied AI Architect job type Posted on: Oct 31, 2026
  • Applied AI Architect experience level Brillio
  • Applied AI Architect employment type New York, New York
  • Applied AI Architect employment type Onsite
  • Applied AI Architect salary Full-time

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Job Title :

Applied AI Architect

Job Type :

Full-Time

Job Location :

New York New York United States

Remote :

No

Jobcon Logo Job Description :

Applied AI Architect (Data, Systems & Governance) | BrillioArchitect the Foundations of Enterprise AIBrillio is looking for an Applied AI Architect who can turn ambitious AI strategies into secure, scalable, enterprise-ready systems.You'll help determine how AI solutions should be designed, what models should power them, how enterprise data should flow through them, and how they can operate safely within highly regulated environments.About BrillioBrillio is one of the fastest-growing digital technology service providers, helping Fortune 1000 organizations turn disruption into competitive advantage through innovative digital adoption.Our professionals combine deep technology expertise, design thinking, and a strong commitment to client success to deliver transformative outcomes.Brillio is recognized year after year as a Great Place to Work®, giving talented technology professionals the opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges.The RoleAs an Applied AI Architect, you'll own the technical foundations that make enterprise AI possible.You'll bring together data architecture, AI/ML systems, cloud platforms, enterprise integration, security, privacy, and governance to design solutions that can move beyond experimentation and into production.Role Responsibilities:Design target architectures and scalable data pipelines for enterprise AI systemsArchitect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelinesEvaluate and select AI models based on use case, performance, cost, latency, security, and governance requirementsDesign AI solutions that integrate with enterprise platforms including EHRs, core banking systems, CRM platforms, data lakes, and data warehousesDefine and implement AI governance, compliance, privacy, and responsible AI frameworksTranslate regulatory requirements into concrete technical and architectural controlsEmbed security, privacy, IAM, and data residency requirements from day oneDesign production environments across platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AIPartner closely with AI Builders and Value Engineers throughout the lifecycle — from discovery through productionEstablish the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluationHelp move AI solutions from proof-of-concept into secure, scalable production environmentsJob 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 the tradeoffs between commercial and open-source models, as well as RAG versus fine-tuning.Experience with platforms and frameworks such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain.Experience integrating AI with enterprise systems and APIs. Healthcare experience with FHIR/HL7, Epic, or Oracle is a plus, as is financial services experience with payment data and core banking platforms.Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance.Experience working within regulated environments, with exposure to requirements such as HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable.Experience with enterprise security concepts including 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 the ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions.If you're an architect who understands both the possibilities of AI and the realities of enterprise technology, security, data, and regulation, this is an opportunity to have a major impact.Join Brillio and help build the foundations for enterprise AI.

Jobcon Logo Position Details

Posted:

Oct 31, 2026

Reference Number:

10440_4474630211

Employment:

Full-time

City:

New York

Job Origin:

APPCAST_CPC

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Applied AI Architect (Data, Systems & Governance) | BrillioArchitect the Foundations of Enterprise AIBrillio is looking for an Applied AI Architect who can turn ambitious AI strategies into secure, scalable, enterprise-ready systems.You'll help determine how AI solutions should be designed, what models should power them, how enterprise data should flow through them, and how they can operate safely within highly regulated environments.About BrillioBrillio is one of the fastest-growing digital technology service providers, helping Fortune 1000 organizations turn disruption into competitive advantage through innovative digital adoption.Our professionals combine deep technology expertise, design thinking, and a strong commitment to client success to deliver transformative outcomes.Brillio is recognized year after year as a Great Place to Work®, giving talented technology professionals the opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges.The RoleAs an Applied AI Architect, you'll own the technical foundations that make enterprise AI possible.You'll bring together data architecture, AI/ML systems, cloud platforms, enterprise integration, security, privacy, and governance to design solutions that can move beyond experimentation and into production.Role Responsibilities:Design target architectures and scalable data pipelines for enterprise AI systemsArchitect ETL/ELT, feature stores, vector databases, knowledge layers, and AI data pipelinesEvaluate and select AI models based on use case, performance, cost, latency, security, and governance requirementsDesign AI solutions that integrate with enterprise platforms including EHRs, core banking systems, CRM platforms, data lakes, and data warehousesDefine and implement AI governance, compliance, privacy, and responsible AI frameworksTranslate regulatory requirements into concrete technical and architectural controlsEmbed security, privacy, IAM, and data residency requirements from day oneDesign production environments across platforms such as Azure AI Foundry, AWS Bedrock, and Google Vertex AIPartner closely with AI Builders and Value Engineers throughout the lifecycle — from discovery through productionEstablish the foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluationHelp move AI solutions from proof-of-concept into secure, scalable production environmentsJob 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 the tradeoffs between commercial and open-source models, as well as RAG versus fine-tuning.Experience with platforms and frameworks such as Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain.Experience integrating AI with enterprise systems and APIs. Healthcare experience with FHIR/HL7, Epic, or Oracle is a plus, as is financial services experience with payment data and core banking platforms.Strong understanding of AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance.Experience working within regulated environments, with exposure to requirements such as HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 highly desirable.Experience with enterprise security concepts including 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 the ability to translate complex technical, business, security, and regulatory requirements into clear architectural decisions.If you're an architect who understands both the possibilities of AI and the realities of enterprise technology, security, data, and regulation, this is an opportunity to have a major impact.Join Brillio and help build the foundations for enterprise AI.

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