The Role
Design and implement full‑stack features for AI-focused innovation projects. Build scalable, reliable components, support rapid prototyping, use AI development tools to improve code quality, collaborate on architecture and deployment, and own features through deployment and basic monitoring.
Summary Generated by Built In
Role & Responsibilities
- Design and own end-to-end architecture for full-stack innovation projects across the portfolio
- Define technical standards, frameworks, and design patterns to ensure scalability, reliability, and maintainability across engineering teams
- Champion the adoption of AI-powered development tools and agentic workflows to elevate engineering velocity and code quality org-wide
- Partner closely with product, engineering leadership, and cross-functional teams to translate experimental concepts into production-ready systems
- Lead technical discussions and decision-making on architecture, technology selection, and implementation approaches
- Mentor senior and mid-level engineers, driving adoption of advanced development practices and emerging technologies
- Drive rapid prototyping initiatives and establish frameworks for iterative, experimental development cycles
- Own critical/high-impact features and systems end-to-end — from architecture and development through deployment, monitoring, and production support
- Evaluate build vs. buy decisions and assess emerging technologies (including AI/LLM tooling) for enterprise adoption
Requirements
Required Qualifications
- 12–15+ years of professional software engineering experience, including 3+ years in an architect or technical leadership capacity, with proven ownership of production systems at scale
- Deep expertise in full-stack architecture — frontend frameworks, backend services/microservices, databases, and cloud platforms (AWS/Azure/GCP)
- Strong working knowledge of AI code assistants and agentic development tools (Amazon Q, GitHub Copilot, Claude Code, Gemini CLI, Cursor, or similar), with the ability to evaluate and drive their adoption across teams
- Proven experience owning High-Level Design (HLD) and Low-Level Design (LLD) for complex, distributed systems
- Strong proficiency in one or more programming languages, with a demonstrated track record of evaluating and adopting new technologies
- Ability to write, review, and enforce clean, maintainable, well-tested code and engineering best practices across teams
- Experience driving architecture decisions in ambiguous, fast-paced, innovation-driven environments
- Strong stakeholder management and communication skills — able to influence both technical and business audiences
Skills Required
- 3+ years of professional software engineering experience with production systems
- Strong foundation in full-stack development (frontend frameworks, backend services, databases, cloud platforms)
- Familiarity with AI code assistants (Amazon Q, GitHub Copilot, Claude Code, Gemini CLI, Cursor) or willingness to learn
- Proficiency in one or more programming languages and demonstrated ability to learn new technologies
- Ability to write clean, maintainable, and well-tested code following established standards
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The Company
What We Do
Genzeon advances highly effective, secure, and innovative technology solutions for healthcare and retail clients, including intelligent automation, security, compliance, and cloud services. Founded in 2009, by a group of leaders with a shared commitment to unleashing human potential, Genzeon is blazing new trails in fueling innovation, transforming businesses and unleashing efficiency. Our vision is to Dream Big, Deliver Excellence
