Solutions Architect

Role overview Turn complex business and technology needs into secure, scalable, supportable, and cost-conscious solution designs. You’ll guide clients from discovery through technical definition and pre-sales, connecting business goals with architecture choices and delivery realities. The work spans cloud, software, data, AI, security, and operations, with a strong emphasis on clear communication and stakeholder alignment.

Responsibilities - Lead client discovery, technical assessment, ideation, and solution-definition workshops. - Identify business goals, existing technology, constraints, and both explicit and implicit requirements. - Design end-to-end architectures and document key decisions, assumptions, dependencies, risks, and trade-offs. - Define functional and non-functional needs across security, identity, integration, data, AI, resilience, performance, governance, operations, and cost. - Present viable solution options and roadmaps in language that works for technical, business, commercial, and executive audiences. - Lead technical pre-sales work, including proposals, RFPs and RFIs, estimates, presentations, demonstrations, and proofs of concept; collaborate with delivery and engineering teams to confirm feasibility.

Requirements - Strong solution architecture and technical communication skills, with experience evaluating alternatives, costs, risks, and dependencies. - Client-facing consultative skills, including active listening, stakeholder management, negotiation, and problem framing. - Ability to influence multidisciplinary teams without direct authority and handle ambiguity or conflicting priorities with sound judgment. - Advanced English proficiency (C1 or equivalent), sufficient to independently lead workshops, technical discussions, and presentations.

Nice to have - Experience with enterprise, international, or regulated-sector projects, particularly banking, financial services, or energy. - Background in cloud transformation, application or platform modernization, data, analytics, or AI. - Familiarity with Microsoft Azure and Fabric, generative AI and RAG, responsible AI, identity and zero-trust security, cloud governance, DevOps, infrastructure as code, observability, resilience, or FinOps. - A relevant engineering or computing degree, equivalent professional experience, or certifications such as Azure architecture, AI, cybersecurity, or TOGAF.

Benefits and work setup The position is full-time and remote, based in Buenos Aires.