1 день назад
Applied AI Architect (Data, Systems & Governance)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Applied AI Architect (Data, Systems & Governance): Designing secure, scalable foundations for enterprise AI systems with an accent on data architecture, model selection, cloud platforms, security, privacy, and governance. Focus on integrating AI with enterprise systems, establishing MLOps and observability, and moving solutions from proof-of-concept into regulated production environments.
Location: Remote, United States
Company
is a digital technology services provider helping Fortune 1000 organizations adopt digital technologies and deliver technology-driven business outcomes.
What you will do
- Design target architectures, scalable data pipelines, feature stores, vector databases, knowledge layers, and AI data platforms.
- Evaluate and select AI models based on performance, cost, latency, security, and governance requirements.
- Integrate AI solutions with enterprise platforms such as EHRs, core banking systems, CRM platforms, data lakes, and data warehouses.
- Define AI governance, compliance, privacy, responsible AI, security, IAM, and data residency controls.
- Design production environments across Azure AI Foundry, AWS Bedrock, and Google Vertex AI.
- Establish MLOps, CI/CD, model lifecycle management, monitoring, observability, and evaluation foundations.
Requirements
- Experience as an AI, ML, Data, Solutions, or Enterprise Architect designing and deploying AI solutions.
- Strong understanding of Generative AI, Agentic AI, RAG, AI orchestration, and modern AI architectures.
- Experience with enterprise data architectures, integrations, scalable AI platforms, and APIs.
- Experience with Azure AI Foundry, AWS Bedrock, Google Vertex AI, LangGraph, and LangChain.
- Knowledge of AI governance, model risk management, responsible AI, privacy, security, regulatory compliance, PHI/PII governance, data residency, VPC deployment, and IAM.
- Experience with production AI engineering, including CI/CD, MLOps, model registries, monitoring, observability, and evaluation frameworks.
Nice to have
- Healthcare experience with FHIR/HL7, Epic, or Oracle.
- Financial services experience with payment data and core banking platforms.
- Exposure to HIPAA, GxP/CSV, AML, Basel III, or SR 11-7 requirements.
Culture & Benefits
- Remote workplace arrangement.
- Opportunity to work with cutting-edge technologies and solve complex, high-impact business challenges.
- Collaboration with AI Builders and Value Engineers from discovery through production.
- Employee position with .
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