Principal Software Architect​/Engineer; AI​/C#​/.NET

Sr. AI Software Architect/Engineer – (C#/.NET)

AtMitarech, we’re a team of engineers passionate about building world-class products that empower Legal, Risk, Compliance, and HR professionals at Fortune 100 companies. We thrive in a globally dispersed, inclusive culture that values innovation, collaboration, and technical excellence.

As Mitratech continues to scale, we are expanding our architectural and innovation capabilities in our Enterprise Workflow solution. We are seeking a Sr. AI Software Architect/Engineer to work across teams and accelerate architectural modernization, proof-of-concept delivery, technological investigations, and cross-product technical alignment. Reporting directly to the Senior Architect, this role is ideal for someone who enjoys solving complex engineering challenges that span multiple systems, teams, and business domains.

This is an opportunity to take a leading role in shaping the technology strategy and future platform foundations that will support Mitratech’s next generation of products.

As a Sr Software Engineer, you will:

• Drive Architectural Evolution
  :
  Partner with the Senior Architect to define and refine the technical architecture across the product, ensuring scalability, resilience, and long-term maintainability.
• Influence Technical Decision-Making
  :
  Provide deep technical guidance on system design, integration approaches, and modernization pathways.
• Create Architectural Alignment
  :
  Work across multiple engineering teams to ensure consistent engineering patterns, shared components, and platform-level solutions.

• Prototype Future Capabilities
  :
  Design and deliver Proof of Concept that explore new technologies, validate architectural patterns, and derisk major initiatives.
• Accelerate Innovation
  :
  Work closely with product and engineering leadership to identify opportunities where innovation or rapid experimentation can unlock new capabilities.

• Cross-Team Collaboration
  :
  Serve as a technical resource across engineering teams, enabling shared learning, guiding senior engineers, and raising engineering quality.
• Mentor and Coach
  :
  Support teams in adopting new architectural standards, modern engineering practices, and advanced tooling.
• Be a Multiplier
  :
  Improve engineering velocity by creating reusable patterns, frameworks, automation, and reference implementations.

• Hands-On Engineering
  :
  Write high-quality, maintainable code and contribute to critical components and architectural spikes.
• Champion Modernization
  :
  Lead efforts to refactor, modernize, or decouple legacy systems to align to future technical strategy.
• Production-Ready Mindset
  :
  Ensure that solutions meet enterprise-grade requirements, including performance, security, reliability, and compliance.

• AI-Driven Engineering
  :
  Utilize cutting-edge AI development tools to accelerate design, delivery, and code quality.
• Guide AI Adoption
  :
  Help teams understand where AI tools improve productivity and where human expertise is critical.

• An Architectural Thinker
  :
  Comfortable designing at the system and component level, while understanding the downstream impact of architectural choices.
• A Technical Leader
  :
  Adept at influencing and guiding teams toward a shared technical vision. You apply common engineering standards such as object-oriented design, SOLID principles, and established design patterns to create maintainable, extensible solutions.
• Quality-Driven
  :
  You are proficient with modern engineering tooling and practices, including linting, static code analysis, automated security scanning, and other quality gates that ensure robust, secure software.
• A Builder at Heart
  :
  Equally strong in high-level design and hands-on implementation.
• A Collaborator
  :
  Skilled at working across team boundaries, bringing clarity, alignment, and direction.
• A Problem Solver
  :
  Able to dissect large, ambiguous problems and drive them to actionable solutions.
• A Modernization Expert
  :
  Experienced in transforming legacy systems into scalable, maintainable architectures.
• AI-Fluent
  :
  Comfortable applying modern AI tools and understanding their strengths and limitations.
• Outcome-Driven
  :
  Focused on business impact, customer value, and maintainable long-term solutions.

• 10+ years of software engineering experience
  , including at least several years operating as a senior or staff-level engineer, with the following technology: C#, .NET Framework and .NET Core. Ideal candidates will have worked with ASP.NET MVC, ASP.NET Web API, LINQ, EF (Entity Framework) and be familiar with WCF. AI project experience is required.
• Deep experience in cloud architectures
  , ideally Microsoft Azure (compute, storage, networking, messaging, security).
• Demonstrated success leading cross-team engineering initiatives or architectural programs.
• Strong hands-on experience with web application development
  : API design (REST, event-driven, or…