• Lead, manage, and develop a team of Solution Architects to ensure timely, accurate, and high-quality delivery of quotations, estimates, and solution documentation aligned with customer requirements. • Drive the solutioning agenda for Claro’s Innovation and Accelerator engines, including: Cloud (AWS, Azure, Claro Cloud, Google Cloud), AI Data Readiness Suite, IoT solutions (video analytics, asset tracking, IoT connectivity) • Ensure all quotations and proposals are complete, error-free, compliant with internal standards, and aligned with technical, commercial, and operational requirements. • Develop and maintain strong working relationships with hyperscalers, OEMs, partners, and internal teams.

• Primarily provides pre-sales technical support for the development and implementation of complex products/applications/solutions. • Uses in-depth product knowledge to provide technical expertise to sales staff and customers through sales presentations and product demonstrations. • Assist sales staff in assessing potential applications of company products to meet customer needs. • Prepare detailed product specifications for the development and implementation of customer products/applications/solutions. • Create detailed design and implementation specifications for complex products/applications/solutions. • Build mini-applications based on customer requirements to demonstrate feasibility, often requiring rapid prototyping and/or product demos.

• Define and govern the enterprise architecture for AI solutions integrated into the systems and data ecosystem; • Ensure security, scalability, interoperability, compliance, and value realization; • Act as a bridge between business, engineering, data, security, and platform teams, guiding end-to-end architectural standards and decisions; • Design the solution's multi-agent architecture, ensuring efficient orchestration among specialized agents across the customer journey; • Orchestrate the work of specialized AI agents, defining roles, tools, and rules for each stage of the e-commerce process; • Define and structure prompts, policies, and guardrails to ensure consistent, safe behavior aligned with brand guidelines; • Ensure security, privacy, and regulatory compliance (LGPD), preventing data leaks and protecting against prompt-based attacks; • Create technical documentation and engineering standards, including agent contracts, prompt templates, and operational guidelines.

• Build relationships with technical stakeholders • Lead product demonstrations of the Arize platform • Lead discovery to understand prospect’s ML stack • Handle technical objections and develop strategies