AI-Driven Full-Stack Architect for CHEC Platform

Demand Detroit

Portland, Northern (OR, KY)

Hybrid

USD 117,000 - 150,000

Full time

5 days ago

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Benefits offered by this job

Annual bonus program

401k with company match up to 6%

4 weeks paid vacation

13+ calendar holidays

8 weeks paid parental leave

Employee assistance program

Healthcare plans

Onsite fitness

Tuition assistance

Volunteer paid time off

Disability plans

Job summary

Daimler Truck North America (DTNA) is seeking a Lead Architect / Senior Full Stack Developer to own CHEC's architecture, lead frontend, backend, and Azure design, and govern QA and AI-assisted development. You will mentor teams and ensure safety, auditability, and reliability in a mission-critical configuration tool.

This hybrid role expects deep React/TypeScript and .NET/C# experience, strong cloud and security knowledge, and leadership in AI tooling adoption.

Qualifications

Bachelor's or Master's degree in Computer Science, Software Engineering, or related field.
810+ years software engineering experience.
Proven technical leadership / architect experience.
Strong full-stack expertise (React/TypeScript frontend, .NET/C# backend) and hands-on QA automation leadership.
Experience with system design and architectural patterns (microservices, event-driven, domain-driven design).
Database and data layer expertise (SQL Server, Cosmos DB, Entity Framework).
Security architecture knowledge (OWASP, authentication/authorization patterns).
API design standards (REST, versioning, contract-first design).
Experience with Microsoft Azure cloud services, GitHub, and CI/CD pipelines.
Demonstrated experience defining and leading AI-augmented development practices across a team.
Proficiency with AI coding assistants (Claude Code, GitHub Copilot, or Cursor) and prompt engineering for code generation, testing, and documentation.
Ability to evaluate AI-generated outputs critically, particularly in safety-relevant and high-auditability contexts.

Responsibilities

Own and govern CHEC's end-to-end technical architecture (React frontend, .NET APIs, backend services, data layers).
Serve as technical authority across full-stack development and cloud infrastructure.
Define and enforce engineering standards, patterns, and best practices, including guidelines for responsible AI-assisted development.
Lead the Automation QA effort, including test strategy and tooling selection, definition of automated test coverage (UI, API, integration), and quality gates in CI/CD pipelines.
Architect and review Azure-hosted services with focus on security, observability, and scalability.
Partner with UX, Product Owners, and Application Engineering on roadmap execution.
Mentor senior and junior developers; provide technical reviews, coaching, and guidance on effective use of AI coding assistants.
Ensure traceability, auditability, and strong validation for configuration changes (safety-relevant domain).
Define and lead the team's AI-augmented development strategy, including tooling selection (Claude Code, GitHub Copilot, Cursor) and workflow integration.
Establish prompt engineering standards and best practices for AI-assisted code generation, testing, and architecture documentation.
Evaluate AI-generated code for quality, security, and compliance with safety-relevant domain requirements.
Continuously evaluate emerging AI tools and techniques for applicability to the CHEC platform.