Lead technical discovery workshops, architecture reviews, solution envisioning sessions, demonstrations, and proof-of-concept engagements to define AI and application modernization strategies. Help customers modernize applications, adopt cloud-native architectures, and improve agility, scalability, productivity, and business outcomes. Influence technical and business decision-makers by articulating solution value, technical strategy, architecture recommendations, and long-term transformation roadmaps. Accelerate customer adoption by addressing technical blockers, implementation challenges, architectural considerations, governance requirements, and deployment readiness. Collaborate with sales, customer success, product engineering, partners, and industry specialists to achieve customer business outcomes and successful solution deployment. Contribute technical thought leadership through reusable assets, customer presentations, industry events, workshops, and peer coaching. Stay current on emerging AI technologies, modern application development trends, cloud innovation, and industry insights to maximize customer innovation opportunities. Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience. 6+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management. This role requires proficiency in written, reading, and conversational Brazilian Portuguese and English. This role requires proficiency in written, reading, and conversational Spanish. Deep Hands-On demostrated expertise building POCs/MVPs for Agentic AI solutions, including AI Agents, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), MCPs, orchestration frameworks, multi-agent architectures, prompt engineering, knowledge grounding, conversational AI, and intelligent automation solutions. Extensive experience developing, architecting, deploying, and operating AI-powered applications in production environments with a strong focus on scalability, reliability, observability, governance, security, and responsible AI practices. Extensive expertise with Machine Learning, Generative AI, Predictive Analytics, Natural Language Processing, Computer Vision, Image Processing, Document Intelligence, and Automation solutions. Knowledge of cloud-native application development, modern software engineering practices, DevOps, platform engineering, containers, Kubernetes, APIs, microservices, and enterprise application architecture. Extensive experience leading enterprise Data & AI transformation initiatives, application modernization programs, cloud transformation projects, and digital transformation consulting engagements. AI-103 Azure AI Apps and Agents Developer Associate AI-200 Azure AI Cloud Developer Associate AI-300 Operationalizing Machine Learning and Generative AI Solutions GitHub Copilot DP-800 SQL AI Developer Associate DP-420 Azure Cosmos DB Developer SC-200 Security Operations Analyst Associate SC-500 Cloud and AI Security Engineer Associate
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