Technology Consultant

• Pre-Sales Support: Participates in the pre-sale process as needed
• Helps scope the project by sharing customer or technical knowledge in their specialty domain by leveraging their expertise as a subject matter expert
• Technical Delivery: Follows the capacity process outlined by Resource, Insights, Capacity, and Capability (RICC) team
• Maintains tools with up-to-date skills and availability
• Participates in and/or may lead meetings with customers/partners to understand their business needs and/or scenario they are trying to solve
• Uses business, technology, and industry strategies to define customer/partner requirements and constraints
• Engages others appropriately to understand and define customer requirements
• Supports project planning and the development of project documents by defining the risks and dependencies
• Communicates the business value of planned solutions to customers/ partners with direction/guidance
• Implements mitigations on technical and business risks
• Manages their schedule and communicates with project leads
• Delivers against Work Breakdown Structure (WBS)
• Implements technical solutions by completing assigned project tasks with defined quality standards and following Industry Solutions processes
• Oversees aspects of implementation
• Proactively identifies issues and risks and engages with customers/partners or internal stakeholders (e.g., Project Managers) as appropriate to address and resolve issues
• Proactively manages relationships with customers/partners/stakeholders to identify and contribute to the drivers of satisfaction and dissatisfaction, determine the root cause, and establish recovery actions to improve the experience
• Intellectual Property Management: Acts as an ambassador in consumption of intellectual property (IP) and leverages IP in projects
• Proactively assists in the creation of intellectual property content and seeks areas that are available for more IP
• Communicates areas that need refreshing or gaps in intellectual property
• Provides feedback for continuous improvement
• Business Development: Identifies opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies
• Readiness: Learns new technologies or services based on business demands and industry trends
• Obtains relevant accreditations and certification(s) as advised by the domain leadership team
• Shares experiences, best practices, and product news within the team
• Participates in relevant technical communities at Microsoft
• Operational Excellence: Completes operational tasks and readiness and ensures timeliness and accuracy
• Follows Microsoft policies, compliance, and procedures (e.g., Enterprise Services Authorization Policy, Standards of Business Conduct, labor logging, expenses, travel guidelines)
• Other: Embody our culture and values

• Bachelor's degree in computer science, Engineering, Finance, Business, or related field AND 1+ year(s) work experience in relevant area of business OR equivalent experience
• Proficiency in written, reading, and conversational Brazilian Portuguese and English
• 1+ years leadership experience in the following functional areas: AI Experience
• Hands-on experience with LLM orchestration frameworks such as LangGraph, LangChain or Semantic Kernel, including building multi-step chains, tool integrations, and agent-based workflows
• Practical experience with Azure OpenAI Service: deploying models, managing capacity, using embeddings, and integrating Azure AI Search/Vector Search
• Ability to design and implement RAG (Retrieval-Augmented Generation) solutions using LangChain, Semantic Kernel, or Azure native tooling—optimized for performance, accuracy, and cost
• Solid understanding of prompt engineering, structured prompts, structured outputs, caching strategies, and LLM observability
• Proficiency in run Agents Evaluation, creation of golden datasets, curation, metrics understand, best practices and ability to handle Evaluation Frameworks such as RAGAS, Foundry Evaluation SDK, etc
• Basic knowledge about Responsible AI principles, like Red Teaming, Guardrails, Ethics AI, etc
• DevOps – expertise with Azure DevOps, Github Actions, Terraform, ARM Templates, Bicep, YAML, PowerShell, Python or other scripting language, CI/CD, Unit/UI Testing
• Cloud technologies
• Development languages (e.g., C#, JavaScript, PHP, Python)
• Data & Analytics – knowledge in data modeling, ETL/ELT pipelines, and tools such as Azure Data Factory, Microsoft Fabric, and Azure Databricks
• Application Lifecycle Management (e.g., Agile, SCRUM, TFS)
• 3+ years work experience in relevant area of business
• Technical certifications based on domain (Azure Developer Associate, Azure IoT Developer, DevOps Engineer Expert, Azure Solutions Architect Expert, Azure AI Engineer or similar)
• Delivery Management certification (e.g., Scrum, Agile, Change Management, Project Management)
• Software Engineering Skills

Advanced in Spanish