• Title: Associate Distinguished Engineer Enterprise Architect
• Location: NYC preferred, Open to East Coast
• For Tri State area candidates, role is Hybrid (2-3 days a week in office)
• For East Coast candidates, role is Remote with Travel as needed
• Interview: 3-4 rounds of interview, final round in person in NYC Nagarro Office
• Salary: $190-220k gross (base salary $150-$170k + 10% org bonus + 20% performance bonus) for tristate candidates willing to go onsite Hybrid
• Salary: $175-$202k (base salary $135-$155k + 10% org bonus + 20% performance bonus) for East Coast candidates (remote with travel as needed)
• Experience: 14-23 years relevant experience.

Job Title: Associate Distinguished Engineer Enterprise Architect

Location: New York City, New York (Hybrid)

Full-time

Company Description

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale - across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 38 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description:

Role Overview

The Solution Architect serves as the technical lead and platform owner for the AI Adoption initiative. This role designs and governs the AI Landing Zone, oversees integrations, ensures security and compliance, and provides technical direction for all AI use cases and platform components. The Solution Architect ensures that the AI platform is scalable, secure, interoperable, and aligned with IT standards, supporting both pilot development and long-term institutionalization.

Key Responsibilities

AI Platform & Landing Zone Architecture

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.

Security, Compliance & Responsible AI Controls

Implement architectural controls to support FERPA, accessibility (WCAG/508), privacy, and institutional policy requirements.

Ensure solutions incorporate responsible AI checks, fairness validation, and observability.

Integration & Data Architecture

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.

Ensure interoperability and reliability across departments and technical environments.

Use Case Technical Design & Feasibility

Evaluate technology options (Azure OpenAI, Copilot, Power Platform, Fabric) for each use case.