Applied AI Architect

BrillioEnterprise AI

Listing location: New York, New York, United States; Workplace type: RemoteFull-Time

Salary150,000 - 250,000 USD per year

Apply NowOpens the employer's application page

Job Details

Have strong experience as an AI, ML, data, solutions, or enterprise architect.
Bring hands-on experience designing and deploying AI solutions.
Understand Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures.
Have experience designing enterprise data architectures, pipelines, integrations, and scalable AI platforms.
Have experience evaluating AI models and assessing commercial versus open-source models and RAG versus fine-tuning.
Have experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain.
Have experience integrating AI with enterprise systems and APIs.
Understand AI governance, model risk management, responsible AI, privacy, security, and regulatory compliance.
Have experience in regulated environments; exposure to HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 is desirable.
Understand PHI/PII governance, data residency, VPC deployment, IAM, access control, and model inference security.
Have production AI engineering experience, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks.

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 technical and architectural controls.
Embed security, privacy, IAM, and data residency requirements in solution designs.
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 MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation foundations.

View Full Description & ApplyYou'll be redirected to the employer's site