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Infrastructure Architect Sr - Contractor

Scepter Technologies, IncPittsburgh, PA🇺🇸United StatesPosted 25 Aug 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Pittsburgh, PA, United States
Posted
23 hours ago
AgileCompliancePower BIStakeholder Management

Job Description

Client: PNC Bank
Job Title: Infrastructure Architect Sr Contractor

Duration: June 29, 2026 March 31, 2027 (Contract-to-Hire)
Experience Required: 8+ Years
Employment Type: Contract (Right to Hire)
Work Schedule: Monday Friday | 8:00 AM 5:00 PM EST
Hours: 40 Hours/Week
Work Arrangement: Hybrid (3 Days Onsite / 2 Days Remote)
Travel: None
Overtime: No
Important Note
  • Candidates must be open to converting to a Full-Time PNC employee if an opportunity becomes available.
Work Locations (Candidates must be local to one of these locations)
Pittsburgh, PA
Strongsville, OH
Dallas (Farmers Branch), TX
Preferred Location: Any of the above three hubs.
About the Role
Clients AI organization is expanding its Microsoft 365 AI platform to enable enterprise-wide adoption of Microsoft Copilot, Copilot Studio, and AI Agents across multiple business lines.
The Infrastructure Architect will define enterprise architecture standards, scalable AI platform patterns, governance, secure integrations, and reusable frameworks supporting Microsoft's AI ecosystem.
This is a highly strategic architecture role partnering with Engineering, Security, Governance, Product Owners, and AI Platform teams.
Key Responsibilities
  • Define enterprise AI architecture using Microsoft 365, Copilot, and Copilot Studio.
  • Design scalable architecture patterns for AI Agents and enterprise AI platforms.
  • Build secure integration architectures across Microsoft 365, Power Platform, enterprise applications, and external systems.
  • Define standards for:
    • Identity & Authentication
    • Authorization
    • Data Governance
    • Environment Strategy
    • Lifecycle Management
  • Develop reusable architecture patterns for:
    • Enterprise Search
    • Grounded AI
    • Agent Orchestration
    • Connector Frameworks
  • Design architecture for:
    • Synced & Indexed Knowledge
    • Federated Data Access
    • Custom Connectors
    • External Enterprise Systems
  • Partner with Engineering teams on Dev/Test/Prod architecture, ALM, and operational readiness.
  • Collaborate with Security and Compliance teams to ensure enterprise governance.
  • Produce architecture documentation, standards, reference architectures, and executive-level recommendations.
Required Skills
Microsoft Technologies
  • Microsoft 365
  • Microsoft Copilot
  • Copilot Studio
  • Power Platform
Architecture
  • Enterprise Architecture
  • Cloud Architecture
  • Integration Architecture
  • AI Solution Architecture
  • Enterprise Platform Design
Security & Governance
  • Identity Management
  • Authentication
  • Authorization
  • Data Governance
  • Environment Strategy
AI Platform
  • Enterprise Search
  • Grounded AI
  • Connector Enablement
  • AI Automation
  • Reusable Cloud Services
  • Integration Frameworks
Documentation
  • Architecture Artifacts
  • Technical Standards
  • Executive Presentations
  • Solution Governance
Preferred Skills
  • MCP-style interoperability
  • Agent-to-Agent Collaboration
  • AI Orchestration
  • AI Platform Governance
  • Reporting-enabled AI Solutions
  • Microsoft Fabric
  • Power BI Semantic Models
  • Enterprise Data Enablement
  • Financial Services experience
  • Experience working within highly regulated environments
Soft Skills
  • Excellent communication
  • Leadership
  • Stakeholder Management
  • Cross-functional Collaboration
  • Architecture Review Experience
  • Executive Presentation Skills
Education
  • High School Diploma minimum
  • Equivalent experience accepted
  • Microsoft 365 Certifications preferred
  • Agile Certifications preferred
Team Environment
You'll join an established onshore AI Architecture team consisting of:
  • Infrastructure Architects
  • Product Owners
  • Data Engineers
  • AI Engineering Teams
The team is responsible for enabling enterprise-wide Microsoft AI adoption
Interview Process
Round 1 (30 Minutes)
  • Technical Discussion
  • Architecture Use Case
  • Solution Design
Round 2 (30 Minutes)
  • Behavioral Interview
  • Team Fit
  • Panel Interview

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