Job Description
This is a remote fulltime role. Preferred candidate location is NYC, but open to candidates located in the East Coast. No C2C, no 3rd party candidates
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.
Define technical requirements, constraints, and architectural components for low,
medium, and high-complexity use cases.
Provide technical guidance to developers and ML engineers during design, build, and
deployment.
Platform Maturity, Monitoring &MLOps
Establish CI/CD pipelines, monitoring dashboards, cost transparency mechanisms, and
lifecycle management processes.
Set standards for performance, security, reliability, and operational readiness.
Support the evolution of the platform from early pilots to scalable enterprise services.
Technical Leadership & Quality Assurance
Review prototypes, solution designs, integrations, and deployments for technical
completeness and architectural alignment.
Ensure consistency of implementation across teams and phases.
Provide coaching and guidance to development and engineering teams.
Collaboration Engagement
The Solution Architect works closely with the Functional Consultant to ensure technical designs
meet functional needs, with the Data/Technology Lead on integrations and data architecture, and
with developers on implementation. The role supports the Project Manager with technical
sequencing and risk mitigation and engages governance groups and ITS stakeholders as needed.
Qualifications
Required Skills & Experience
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.
15 - 25 years of industry experience
Good to have skills:
AI Application Solution Design (Strong), Metasonic, Microsoft Azure Artificial Inteligence and
Machine Learning (Expert), Microsoft Fabric (Expert)