Principal Architect

Coforge; Calgary; On-site; CAD 209,000 - 321,000; Full time

Job summary

Coforge seeks a Principal Architect to lead AI-enabled platform transformation for critical client engagements. The role combines hands-on .NET engineering with strategic Agentic AI direction, guiding end-to-end onboarding and modernizing legacy systems into a hybrid AI-enabled architecture.

You will drive design patterns, oversee sprint delivery, and ensure measurable business outcomes while aligning engineering teams with client goals and security standards across cloud-native environments.

Qualifications

• 12+ years in the Microsoft stack (.NET Core/8, C#, Azure) with microservices and event-driven architectures.
• Hands-on GenAI capabilities with orchestration frameworks such as LangChain, Semantic Kernel, AutoGen.

Responsibilities

• Define Agentic & Hybrid Architecture Design for client platforms.
• Lead integration strategy between client requirements and core platform capabilities.
• Oversee sprint planning and backlog grooming for hybrid delivery model.
• Guide back-end development of high-performance .NET services for AI agent invocation (Function Calling).
• Lead HITL UI/UX improvements and AI-enabled workflows to accelerate delivery.

Skills

Agentic AI strategy

.NET engineering execution

Tools

LangChain

Semantic Kernel

AutoGen

Azure

RESTful API design

Job description

Key Skills: Agentic AI strategy and deep .NET engineering execution.

Location: United States

Coforge is seeking a Principal Architect to serve as the technical leader for critical client engagements, combining Agentic AI strategy with deep .NET engineering expertise. This is a hands‑on, customer‑facing leadership role responsible for driving AI‑enabled platform transformation and delivery excellence. The role involves leading the end‑to‑end client onboarding process, transitioning the platform from a traditional rules‑based engine to a sophisticated hybrid Agentic AI architecture. Responsibilities include defining modernization strategies, establishing scalable AI‑assisted delivery patterns, guiding engineering teams, and ensuring measurable business outcomes through innovative technology solutions.

Key Responsibilities:

Agentic & Hybrid Architecture Design

• Define the "Agentic Boundary": Analyze complex supply chain workflows to determine which processes should remain deterministic (rules-based) and which can be optimized through autonomous agents (LLM-based reasoning).
• Pattern Development: Prove and document repeatable delivery patterns that integrate Agentic AI into legacy .NET environments.
• Integration: Lead the technical integration strategy between new client requirements and the core platform capabilities.
• Discovery & Strategy: Lead high-stakes discovery workshops with client stakeholders to clarify requirements and translate business pain points into technical solutions.
• Sprint Orchestration: Own sprint planning and technical backlog grooming, ensuring the engineering team remains aligned with the hybrid delivery model.
• Back-End Mastery: Guide the development of high-performance .NET services designed to act as "Tools" that AI agents can autonomously invoke (Function Calling).
• Front-End Innovation: Oversee the creation of "Human-in-the-Loop" (HITL) interfaces, utilizing AI-enabled workflows (like Figma-to-code) to accelerate the UI/UX cycle.

Quality & Release Excellence

• Zero-Manual Vision: Enforce an automation-first strategy, maximizing automated validation while maintaining appropriate manual and business-user testing.
• Hypercare & Deployment: Coordinate release readiness and lead "Hypercare" phases post-deployment to ensure the agentic loops are performing as expected in live supply chain environments.

Required Skills & Experience

Technical Depth

• Engineering: 12+ years in the Microsoft stack (.NET Core/8, C#, Azure). Deep understanding of microservices, event-driven architecture, and RESTful API design.
• Agentic AI: Hands-on experience delivering GenAI solutions using orchestration frameworks such as LangChain, Semantic Kernel, AutoGen, or equivalent.
• Data Science Pairing: Proven ability to pair with Data Science teams to define integration contracts and manage non-deterministic system behaviors.
• Supply Chain / Final Mile: Strong preference for candidates with experience in logistics, warehouse management, or last-mile delivery systems.
• Stakeholder Management: Ability to bridge the gap between "Rules-Based Engineering" and "Agentic Data Science" for executive-level reviews (CFO/Board).

Tooling & Process

• Automation: Expert-level knowledge of Cypress, Selenium, or Playwright.
• DevOps: Familiarity with CI/CD gates, telemetry, and Microsoft architectural review standards.