Associate Distinguished Engineer – Enterprise Architect, Azure AI

🕒 il y a 25 jours

🗽 New York – Distant

info

💵 $170 000 - $220 000 / an

⏰ Temps Plein

🟢 Junior

🟡 Intermédiaire

💻 Technicien Support Informatique

🦅 Parrain de Visa H1B

info

🗣️🇺🇸🇬🇧 Anglais requis

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Nagarro

10 000+ employés

Fondée en 1996

🤝 B2B

🏢 Entreprise

B2B • Enterprise • Technology Consulting

Nagarro est un leader mondial de l'ingénierie numérique et du conseil en technologie. L'entreprise aide ses clients à devenir des entreprises innovantes et orientées numérique en exploitant la technologie pour provoquer des percées commerciales. Réputée pour sa souplesse entrepreneuriale et son esprit CARING (Attentionné), Nagarro offre une large gamme de services, y compris l'ingénierie numérique, des solutions d'entreprise intelligentes et des services de conception et d'expérience. Avec plus de 17 900 employés dans 37 pays, Nagarro collabore avec des leaders de l'industrie pour accélérer la digitalisation et l'innovation guidée par la technologie.

Description

• Architect the AI Landing Zone, including Azure OpenAI, Azure AI Foundry, Power Platform, Microsoft Fabric, and Microsoft Copilot services. • Ensure the platform is secure, compliant, and designed to scale across academic, administrative, research, and healthcare environments. • Define and enforce governance, identity/SSO integration, and infrastructure requirements. • Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements. • Ensure solutions incorporate responsible AI checks, fairness validation, and observability. • Design integration patterns with core client systems (SIS, LMS, SSO, APIs, data sources). • Collaborate with the Data/Technology Lead to define secure data pipelines, connectors, and access patterns. • Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case. • Define technical requirements, constraints, and architectural components for low, medium, and high-complexity use cases. • Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and lifecycle management processes. • Review prototypes, solution designs, integrations, and deployments for technical completeness and architectural alignment. • Provide coaching and guidance to development and engineering teams.

🎯 Exigences

• Expertise in cloud/enterprise architecture, preferably across Azure AI services. • Strong understanding of identity, security, compliance frameworks, and data governance. • Experience designing scalable AI or cloud platforms and integrating enterprise systems. • Ability to evaluate technical feasibility, optimize performance, and implement MLOps/CI-CD. • Strong communication skills for translating complex technical concepts to non-technical stakeholders.

🏖️ Avantages

• Health insurance • Flexible working hours • Professional development opportunities

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