Lead Forward Deployed Engineer

We're looking for a Lead Forward Deployed Engineer, candidate will operate as a highly autonomous, business-facing technical lead. You will partner directly with business stakeholders to define requirements and deliver production-ready software without the support of a Business Analyst (BA) or Scrum Master. To achieve this high-speed, end-to-end delivery, you will deeply integrate GitHub Copilot and other AI assistants into your daily development cycle. Responsibilities Serve as the primary technical point of contact for clients throughout the engagement lifecycle Translate high-level business goals into clear, actionable technical plans and execution roadmaps Own the full delivery process from initial concept through to live deployment Make independent decisions on architecture, tooling, and implementation approach with minimal oversight Coordinate closely with cross-functional teams to ensure smooth alignment between technical and business goals Identify potential risks or roadblocks early and proactively develop solutions to keep projects on track Mentor and guide team members to raise overall engineering quality and efficiency Continuously refine internal workflows and processes to accelerate delivery speed without sacrificing quality Present progress updates, technical decisions, and outcomes directly to business stakeholders in clear, non-technical terms Adapt quickly to shifting priorities and evolving client needs while maintaining project momentum Requirements At least 5 years of relevant hands-on experience in software engineering A minimum of one year of experience leading and managing engineering teams Demonstrated full-stack expertise combining .NET (C#) on the backend with Angular on the frontend Practical experience deploying and managing applications on AWS infrastructure Consistent, daily use of GitHub Copilot or comparable AI-powered coding assistants as part of the regular development workflow Strong track record in business communication, requirements gathering, and independently managing agile delivery processes without dedicated BA or Scrum Master support Excellent debugging, code review, and security auditing skills to critically assess and refine AI-generated code before production use Solid communication abilities with English fluency at a C1 level or above, enabling clear understanding of business needs and their translation into agentic architectures Nice to have Familiarity with Azure DevOps for managing project workflows, tracking work items, and supporting continuous integration and delivery pipelines