The job
You will join a team of Architects responsible for designing innovative, AI-enabled solutions to solve customer problems, with a strong emphasis on encouraging AI adoption across teams, particularly in support of Hypervelocity Engineering (HVE)initiatives. In this role, you will collaborate with tech leads and cross-functional partners to embed AI-driven approaches into solution design, development, and delivery. You will also play a crucial part in troubleshooting complex issues, mentoring junior team members, and championing modern engineering practices that leverage AI to improve quality, velocity, and customer outcomes.
Key responsibilities:
Responsible for design, development, and hands-on implementation of Microsoft Azure cloud solutions using Angular, C#, and AI-enabled services
Act as a technical leader and advocate for AI adoption across teams, identifying opportunities to apply AI/ML to accelerate delivery, improve engineering throughput, and drive measurable impact in alignment with Hypervelocity Engineering (HVE) principles
Serve as a Microsoft Azure and AI technical resource in the team's efforts to determine and address the needs of our customers
Participate in planning and implementation of intelligent solutions for our cloud platform, incorporating AI-assisted development, automation, and observability where appropriate
Work closely with architects and engineers to recommend and design infrastructure, database, data storage, and AI solutions that reflect our clients' business needs, security, and service level requirements
Collaborate with application and infrastructure teams to conduct proof of concepts (POCs) and deliver production-ready, AI-enhanced designs in Microsoft Azure
Align solutions with standards and best practices while promoting responsible, scalable, and repeatable AI usage across engineering teams
Establish strong and lasting relationships with key stakeholders and influence adoption of AI-driven and HVE-aligned engineering practices
Contribute to the development of internal best practices, including AI-enabled development patterns and Hypervelocity Engineering guidance
Essential requirements:
Bachelor's in computer science or related degree
Strong background in AI/ML concepts, AI-assisted software development, or applied AI in enterprise-scale solutions
Proficiency with Angular web development framework
Proficiency with multiple software development languages including TypeScript, JavaScript, HTML5, and CSS3
Proficiency with application development using C#
Experience creating self-contained, reusable, and testable modules and components
Experience working in an agile environment
Experience with debugging, diagnostics, unit testing, and leveraging AI tools to improve developer productivity and delivery velocity
Excellent analytical skills; open, proactive, results-oriented, self-organized, and self-motivated
Professional and precise communication skills, with the ability to influence and guide teams on AI and HVE adoption
Desired skills and competencies:
Demonstrated experience driving AI adoption or transformation initiatives across engineering teams
Hands-on experience applying Hypervelocity Engineering (HVE) concepts to improve speed, quality, and engineering effectiveness
Industrial automation domain knowledge
Expert-level proficiency in Angular, including enterprise-grade applications and advanced features (lazy loading, RxJS, state management)
Strong knowledge of C# and advanced topics in .NET Framework and .NET Core
Experience with Microsoft Azure, including AI services, deployment, provisioning, and high availability of web applications
Knowledge of UI automation using Playwright, Cypress, and Storybook
Knowledge of RESTful services and Web APIs