AI & Apps Solution Engineer

Microsoft Microsoft · Big Tech · São Paulo, SP, Brazil · Solution Engineering

AI & Apps Solution Engineer role focused on advising enterprise customers on adopting and implementing Microsoft's Azure AI and Application Platform portfolio, including Generative AI, Agentic AI, and Machine Learning. The role involves leading technical engagements from vision to scaled adoption, influencing executive stakeholders, and driving business outcomes through AI-powered innovation and application modernization.

What you'd actually do

  1. Lead technical discovery workshops, architecture reviews, solution envisioning sessions, demonstrations, and proof-of-concept engagements to define AI and application modernization strategies.
  2. Design innovative solutions leveraging Azure AI, Azure AI Foundry, Azure OpenAI, Microsoft Copilot, AI Agents, Power Platform, and modern application development platforms to solve complex business challenges.
  3. Help customers modernize applications, adopt cloud-native architectures, and improve agility, scalability, productivity, and business outcomes.
  4. Influence technical and business decision-makers by articulating solution value, technical strategy, architecture recommendations, and long-term transformation roadmaps.
  5. Accelerate customer adoption by addressing technical blockers, implementation challenges, architectural considerations, governance requirements, and deployment readiness.

Skills

Required

  • 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.
  • Proficiency in written, reading, and conversational Brazilian Portuguese and English.

Nice to have

  • Proficiency in written, reading, and conversational Spanish.
  • Extensive experience designing, architecting and implementing enterprise-scale complex Artificial Intelligence solutions using Microsoft Azure, Azure AI Foundry, Azure OpenAI Service, Microsoft Copilot Studio, Power Platform, Azure AI Search, Azure Machine Learning, Azure AI Vision, Azure AI Document Intelligence, Azure AI Speech, Azure AI Language, and related Microsoft AI technologies.
  • Deep Hands-On demonstrated 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.

What the JD emphasized

  • AI Agents
  • Agentic AI
  • Generative AI
  • Large Language Models (LLMs)
  • Responsible AI practices

Other signals

  • customer-facing technical advisor
  • drive adoption of Azure AI and Application Platform portfolio
  • lead high-impact customer engagements
  • guide organizations from early AI vision and innovation through architecture design, proof-of-concept validation, production deployment, and scaled adoption
  • influence technology strategy with Chief Information Officers, Chief Technology Officers, Digital Transformation leaders, Enterprise Architects
  • act as a catalyst for transformation, helping customers adopt Generative AI, Agentic AI, Machine Learning
  • accelerate customer adoption by addressing technical blockers, implementation challenges, architectural considerations, governance requirements, and deployment readiness
  • Serve as a trusted technical advisor helping customers turn AI investments into measurable business value