• Develop and implement complex software solutions, ensuring quality and performance. • Lead and mentor junior developers, sharing knowledge and best practices. • Collaborate with architects and designers to define system architecture and ensure integration. • Actively participate in the full software development lifecycle, from conception to deployment. • Conduct code reviews and ensure compliance with development and security standards.

• Construir e operar a espinha dorsal técnica da Plataforma — desde a infraestrutura cloud no GCP e pipelines LLMOps até o núcleo de orquestração e a criação de agentes simples e complexos com o Google ADK 2.0.

• Lead and mentor a team of Resident Engineers dedicated to managing platforms for our top-tier customers. • Act as the primary point of contact post-implementation, taking a critical role in issue management to expedite customer resolutions and ensure satisfaction. • Foster a trusted advisor relationship with customer partners and executive sponsors, driving product adoption and ensuring the solution delivers full business value. • Serve as an escalation point for customer concerns and provide strategic guidance to internal teams in handling escalations. • Collaborate with Customer Experience Leadership to align account activities with the customer's business case and strategy. • Prepare and educate customers on new features and releases. • Ensure the successful adoption of Armis playbooks and processes by Resident Engineers. • Provide monthly KPIs relating to Resident Engineer Program. • Identify Resident Engineer renewal risk and collaborate with internal teams to remediate and ensure a successful renewal. • Be the voice of the customer, collecting feedback to drive continuous improvement across all areas, including product development. • Collaborate closely with the sales team to effectively sell and position Success Services.

• Define the long-term architectural vision and AI engineering standards for high-criticality, system-level products. • Lead the evangelism, design, and structuring of a cross-team native AI development ecosystem, including scalable SDD (Spec-Driven Development), Intent Development, and Harness Engineering practices. • Ensure technical and economic governance of AI models, balancing token costs, latency, security (corporate guardrails), and data privacy.