Solutions Architect – AI & Software Architecture, Visa Consulting and Analytics (VCA) — Tech Practice
HybridBogota, New Jersey, United States
Job Summary
Assess client technology landscapes and design target-state architectures for digital transformation initiatives, covering cloud modernization, microservices, and integration strategies. Lead solution architecture activities from discovery through implementation guidance, producing blueprints, diagrams, and technical recommendations while advising on DevSecOps and platform engineering. Define enterprise AI architectures leveraging LLMs, RAG, and agentic workflows, collaborating with engineers to translate designs into production-ready solutions and establish governance patterns. Act as a trusted advisor to client executives, bridging business objectives with engineering execution to deliver scalable, secure, and future-ready systems.
Required Qualifications
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related discipline
- 10+ years of experience in software engineering, solution architecture, or enterprise architecture
- Proven experience designing and delivering large-scale software solutions in enterprise environments
- Strong background in software development with hands-on experience in modern application development practices
- Expertise in software architecture patterns, distributed systems, APIs, microservices, integration architectures, and cloud-native solutions
- Experience with public cloud platforms (AWS, Azure, or GCP)
- Understanding of AI and GenAI architectures including: LLM-based applications, Retrieval-Augmented Generation (RAG), Agentic AI architectures, Vector databases, AI orchestration frameworks, AI security and governance
- Ability to communicate complex technical concepts to executive and non-technical audiences
- Strong consulting, stakeholder management, and presentation skills
- Fluent English
- Visa requires at least 3 days in office
Desired Qualifications
- Spanish and/or Portuguese
- Experience in payments, banking, fintech, digital commerce, or financial services
- Experience designing enterprise AI platforms or AI Centers of Excellence
- Familiarity with AI evaluation frameworks, observability, monitoring, and model governance
- Experience implementing enterprise integration patterns and large-scale modernization programs
- Knowledge of security, privacy, compliance, and Responsible AI practices
- Experience leading architecture workstreams in consulting or client-facing environments
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