Principal AI Software Engineer - .NET

Korn Ferry; Westlake (TX); On-site; USD 130,000 - 160,000; Full time

Job summary

Korn Ferry is seeking a Principal .Net/AI Software Engineer in Texas to drive AI capabilities across its SaaS platform. This senior role combines leadership in technology with expertise in .NET and React, focusing on building AI features and mentoring engineering teams.

The ideal candidate will have over 10 years of experience, expertise in ASP.NET, and hands-on experience with LLM-driven features. A strong understanding of cloud architecture and AI development tools is crucial.

Qualifications

• 10+ years of professional software engineering experience.
• 5+ years in senior/principal roles.
• Hands-on experience building LLM-based features.
• Strong understanding of cloud-native architecture (Azure preferred).
• Proven ability to design and deliver scalable SaaS applications.

Responsibilities

• Architect and implement AI/ML/LLM-powered features.
• Lead full-stack development efforts using ASP.NET Core and React.
• Mentor teams on AI-assisted coding practices.
• Collaborate cross-functionally to align technical solutions.

Skills

ASP.NET / C# / .NET Core

React

AI/ML/LLM features development

Cloud-native architecture

GitHub Copilot

Microsoft Copilot

Job description

We are seeking a Principal .Net/AI Software Engineer to drive the architecture, development, and deployment of AI‑powered capabilities across our SaaS platform. This role is ideal for a seasoned technologist with deep expertise in .NET and React, combined with hands‑on experience building LLM‑driven features, integrating Copilot‑style developer tooling, and shaping the next generation of intelligent product experiences.

As a senior technical leader, you will partner closely with Product, Marketing Technology, and Engineering leadership to define AI strategy, mentor engineering teams, and deliver scalable, production‑grade systems.

Key Responsibilities

• Architect and implement AI/ML/LLM‑powered features using OpenAI, Azure OpenAI, or equivalent models.
• Build production‑grade AI pipelines, services, and microservices using ASP.NET, C#, and .NET Core.
• Develop Proofs of Concept (POCs) and convert successful prototypes into enterprise‑ready solutions.
• Define and enforce AI engineering best practices, prompt engineering patterns, and model evaluation frameworks.

Application Development

• Lead full‑stack development efforts using ASP.NET Core on the backend and React on the frontend.
• Own complex, high‑impact technical initiatives across the product suite.
• Ensure scalability, performance, and robustness of distributed SaaS applications.
• Integrate and optimize workflows leveraging GitHub Copilot, Microsoft Copilot, and other AI development accelerators.
• Mentor teams on effective AI‑assisted coding, code review, and documentation practices.
• Work with Marketing and Product teams to build AI‑driven capabilities for segmentation, personalization, automation, and content generation.
• Architect marketing platform solutions that integrate with CRM, CDP, analytics, and messaging systems.
• Serve as a senior technical thought leader guiding AI architecture, innovation, and long‑term platform strategy.
• Provide mentorship to engineers and influence engineering culture across teams.
• Collaborate cross‑functionally to align technical solutions with business and user needs.

Required Qualifications

• 10+ years of professional software engineering experience, with 5+ years in senior/principal roles.
• Expert‑level proficiency in ASP.NET / C# / .NET Core and modern React.
• Hands‑on experience building LLM‑based features or POCs using commercial or open‑source models.
• Strong understanding of cloud‑native architecture (Azure preferred).
• Experience with GitHub Copilot, Microsoft Copilot, or other AI development tools in real‑world engineering workflows.
• Proven ability to design and deliver scalable SaaS applications.
• Excellent communication skills and the ability to influence technical direction at an organizational level.

Preferred Qualifications

• Direct experience building or supporting marketing technology platforms (marketing automation, personalization engines, recommendation systems, etc.).
• Experience with vector databases, embeddings, RAG pipelines, and retrieval architecture.
• Familiarity with prompt engineering, model tuning/fine‑tuning, and LLM safety and evaluation practices.
• Previous experience leading cross‑functional AI initiatives in a SaaS environment.