AI-Native Lead (Software Tech Lead)
Who We Are
Build. Scale. Sustain.
We are a global technology consultancy with a trademarked, AI-first engineering approach for accelerating the delivery of digital products, and revolutionizing platform modernization. We do the right thing, and we do it right. We're proud to be a World Economic Forum New Champion, and a B Corp-certified company.
We are small enough to care locally, big enough to deliver globally: 5 continents, 10 countries, +500 experts from +50 nationalities across the Americas, Europe and APAC
We are robust and resilient: 100% independent and 0 debt
We are entrepreneurs and passionate experts: We invest in what we believe genuinely and work as a collective intelligence
We are positive, courageous, caring, doers and committed to excellence
About Gen-e2TM
While the market is still largely AI-augmenting delivery, we have reinvented the SDLC to be AI First. Leveraging our 16 years expertise in digital transformation, our approach is a game-changer in productivity and quality, with a strong collaboration between IA generative and our best Talents:
We now generate 95% of the entire product — code, documentation, infrastructure as code, and even design powered by GitHub Copilot.
The quality consistently exceeds the output of our best traditional engineering teams.
A product repository houses all product artefacts, giving AI full project context for higher-quality generation.
A library of rules and prompts defines coding standards, design principles, and security guidelines, ensuring enterprise-grade quality and scalability.
With Gen-e2TM, we deliver end-to-end products 2–3× faster than traditional approaches, while raising the bar for engineering excellence.
YOUR ROLE
At Palo IT, AI-Native Leads are expected to be AI-Native by default and act as technical authorities for their teams and projects. As a AI-Native Lead, you will own the technical direction and project execution for engineering teams while actively embedding AI and Generative AI into how teams work by default.
You will lead and manage a team of engineers, providing full-stack expertise, establishing best practices, and ensuring delivery excellence. Working closely with clients, project teams, and business stakeholders, you will shepherd technical decision-making and provide thought-leadership through both traditional development practices and AI-augmented workflows.
You will apply Palo IT's Gen-E2 methodology to drive quality, speed, and responsible AI adoption across projects and teams.
Key Responsibilities
Technical Leadership & Delivery Ownership
Own the technical direction and roadmap for engineering projects.
Provide full-stack expertise to the engineering team and establish best practices on code quality and performance.
Shepherd technical decision-making process and provide thought-leadership.
Provide architecture-level and code-level feedback for the engineering team.
Build confidence in project delivery through automated testing, continuous integration, monitoring and analytics.
Monitor project progress and delivery quality across teams.
Ensure timelines, outcomes, and engineering standards are met.
AI-Native & Gen-E2 Leadership (Core Expectation)
Champion AI-Native ways of working across the team, including AI-assisted development, testing, and documentation.
Define and enforce AI/GenAI best practices, including:
Prompt and context engineering standards
Output validation, guardrails, and fallback strategies
Code review standards for AI-generated code
Stay current with emerging GenAI trends and tools and translate them into practical, value-driven implementations.
Act as a technical authority and coach on Gen-E2 practices and responsible AI/GenAI adoption.
People Leadership & Team Management
Lead and mentor a team of engineers to deliver high-quality code and projects.
Provide technical guidance, coaching, and career development planning for team members.
Manage performance through clear goal setting, regular feedback and reviews, and identification of growth opportunities.
Foster a collaborative, innovative, and learning-driven culture.