The AI-Native Technical Lead guides engineering teams in using AI-powered practices to rapidly deliver secure, scalable software products. The role combines technical architecture, AI workflow design, project delivery, and team development, partnering across Product, Solutions, Design, Data, AI, and Business to improve engineering productivity and business outcomes.

Responsibilities

Team leadership and talent growth: mentor, evaluate, onboard, develop future leaders.
Rapid product development: prototype, deliver MVPs, use customer feedback and experimentation.
AI Harness Engineering: orchestrate agents, automate development workflows, govern secure AI use.
Planning and governance: manage scope, priorities, timelines/resources; enforce standards, policies, OKRs.
Architecture and technical oversight: design scalable systems, lead reviews, enforce security.
Issue resolution and debt management: resolve challenges, prioritize debt, balance fixes and maintainability.
Cross-functional collaboration: partner stakeholders, translate business goals, support presales and client engagements.

Required Qualifications

5+ years in software engineering, including 3+ years in technical or engineering leadership.
Hands-on frontend, backend, cloud infrastructure, and full software delivery lifecycle experience.
Experience using AI tools and automation to improve engineering productivity and delivery outcomes.
Proven leadership delivering complex, scalable, distributed, cloud-native software solutions.
Knowledge of Clean Architecture, microservices, event-driven design, DDD, CQRS, and API-first design.
DevOps experience with CI/CD, IaC, observability, automation, Docker, Kubernetes, and serverless.
Communication, problem-solving, stakeholder management, balancing quality, speed, and business outcomes.

Preferred Qualifications

AWS cloud platform expertise.
AI-assisted development, prompt engineering, agentic workflows, copilots, or AI platform integration.