Technical Architect

Overview Halcyon Labs is seeking a forward-thinking Technical Architect to join the team. This is a high-impact, hands-on leadership role responsible for defining and governing the end-to-end technical architecture of a mission-critical Commercial & CMS audit platform — while simultaneously driving the platform’s AI-native transformation. The ideal candidate brings deep enterprise architecture expertise, proven experience embedding AI and LLM capabilities directly into production software workflows, and the ability to lead, mentor, and elevate a cross-functional engineering team. You will own architectural decisions across Angular, ASP.NET/C#, Java, SQL Server, Teradata, and AWS — and spearhead an AI initiative designed to reduce auditor review time, improve documentation consistency, and unlock new levels of productivity across CMS audit operations. Responsibilities Architecture & Design Define and maintain the overall technical architecture for applications, platforms, or enterprise systems. Evaluate business requirements and translate them into robust, scalable, and secure technical solutions. Author and maintain Architecture Decision Records (ADRs) for all major design choices. Conduct design reviews, assess risks, and provide recommendations to leadership. AI-Native Development Leadership Architect AI feedback loops where auditor accept/reject signals retrain and improve model relevance scoring over time. Implement AI governance frameworks — explainability, confidence scoring, human-in-the-loop controls, audit trail — for all AI outputs influencing CMS audit findings. Champion AI-assisted SDLC adoption across Team Unstoppable: Claude Code, GitHub Copilot, Cursor, Windsurf, and similar tooling. Establish engineering productivity baselines and measure quantifiable AI-driven velocity improvements. Run structured AI PoC programs that translate into shipped production features — not slide decks. Leadership & Communication Proven experience leading, mentoring, and elevating teams of 8–15 engineers across mixed experience levels. Demonstrated ability to translate complex architectural decisions into clear communication for non-technical stakeholders. Experience producing Architecture Decision Records (ADRs), component diagrams, data flow maps, and integration specifications. Strong cross-functional collaboration skills across product, operations, security, and compliance teams. Collaboration & Communication Partner with product managers, business analysts, and other stakeholders to ensure solutions meet both functional and non-functional requirements. Work with project managers to align timelines, risks, and dependencies. Communicate complex technical concepts clearly to both technical and non-technical audiences. Quality & Governance Define coding standards, patterns, and best practices to improve maintainability and reliability. Conduct performance reviews, security assessments, and compliance checks. Stay updated with emerging technologies, evaluating their potential impact on the organization. This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties, and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of Halcyon Labs and the requirements of the job change. Qualifications 12+ years of progressive software engineering experience with at least 4 years in an architect or technical lead role. Proven delivery of large-scale enterprise platform architecture decisions across full stack (UI, API, data, cloud). Deep expertise in microservices architecture patterns — event-driven, API-first, DDD, CQRS, strangler fig modernization. Strong data architecture skills across relational databases, analytical warehouses, and cloud data pipelines. Hands-on experience with cloud platforms (AWS preferred) including compute, storage, data, and security services. Experience establishing and governing API design standards, testing practices, and CI/CD pipeline architecture. Proven track record of leading legacy-to-modern migration programs without disrupting production operations. Mental Requirements: Critical Thinking : Ability to think critically and evaluate information objectively, considering different perspectives and potential implications before drawing conclusions or making recommendations. Attention to Detail : must have a keen eye for detail to ensure accuracy in data analysis, interpretation, and reporting. Quantitative Aptitude : Strong numerical skills are essential for conducting quantitative analysis, working with statistical methods and models, and manipulating data using mathematical operations. Data Interpretation : skilled in interpreting data visualizations, charts, graphs, and other forms of data presentation to extract meaningful insights and communicate findings effectively. Communication Skills: Effective communication skills