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. - Recruit and build high-performing engineering teams. Consulting, Clients & Growth - Collaborate with clients to understand business problems, design solutions, and lead implementation. - Partner with Sales and Presales teams to shape proposals, solution approaches, and contribute to technical responses and estimations. - Contribute to reusable assets, accelerators, and frameworks to scale delivery efficiency. - Support Palo IT thought leadership through research, experimentation, and publication. Must-Have Experience - 10+ years of hands-on software development experience including recent experience in client and team management. - Proven experience leading and mentoring engineering teams. - Deep technological expertise in fullstack development. Preferred technologies include ReactJS for frontend development and NodeJS/Java/Python for backend development. - Experience in developing scalable, reliable, and secure applications. - Experience with solution architecture. - Strong understanding of common programming patterns and principles. - Excellent communication and stakeholder management skills. - Demonstrated use of AI tools in day-to-day engineering work (not just theoretical exposure). AI-Native & Gen-E2 Skills (Required) - Hands-on, daily use of AI coding assistants (GitHub Copilot, Cursor or equivalent). - Strong grasp of prompt and context engineering for engineering workflows. - Proven experience defining and enforcing GenAI best practices across teams. - Ability to coach and mentor teams on effective and responsible AI tool usage. - Critical thinking to validate and verify AI-generated code and solutions. Good to Have - Experience with any emerging technologies (Decentralised Identity, Realtime-cross…