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Job Description & How to Apply Below
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 Lang Chain, Semantic Kernel, Auto Gen, 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.
Dev Ops:
Familiarity with CI/CD gates, telemetry, and Microsoft architectural review standards.
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