Solution Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Solution Engineer (Azure & AI) based in Brazil.

• Own hands-on technical delivery of a modernization initiative spanning Azure infrastructure, APIs, AI-powered workflows, integrations, and legacy-system replacement.
• Provision and manage Azure cloud environments from the ground up using Infrastructure as Code practices with Bicep or Terraform.
• Design, develop, and maintain REST APIs using API-first architecture principles and well-documented OpenAPI contracts.
• Build and maintain Azure-based services and integrations using technologies such as Azure Functions, Microsoft Entra ID, Key Vault, Azure DevOps, and GitHub Actions.
• Develop AI and LLM-powered pipelines for document parsing, classification, structured output generation, confidence scoring, and human-in-the-loop validation.
• Reverse-engineer undocumented legacy applications, databases, code, workflows, and business rules to support safe modernization and progressive replacement.
• Design and work with SQL Server databases, including schema development, T-SQL, data analysis, and safe interaction with legacy production environments.
• Develop lightweight web applications and internal tools using modern JavaScript frameworks or equivalent technologies.
• Establish robust testing and delivery practices, including validation harnesses, end-to-end testing, acceptance testing, runbooks, and technical documentation.
• Integrate relevant technologies such as OCR and intelligent document processing, template-driven document generation, e-signature platforms, workflow and rules engines, and Microsoft Graph APIs where appropriate.
• Lead SME validation sessions, gather business requirements, communicate technical decisions, and ensure solutions meet real-world operational needs.
• Manage multiple concurrent workstreams independently, proactively prioritizing work and communicating progress, risks, dependencies, and blockers.
• Incorporate AI-assisted development tools into everyday engineering workflows while maintaining appropriate human review, testing, and validation of generated output.
• Deliver incrementally, prioritizing functional software and measurable progress while avoiding unnecessary architectural or technical complexity.

• Strong hands-on experience with Microsoft Azure platform engineering, including provisioning and configuring cloud environments from scratch.
• Practical Infrastructure as Code experience using Bicep or Terraform.
• Hands-on expertise with Azure Functions, Microsoft Entra ID, Key Vault, and CI/CD using Azure DevOps or GitHub Actions.
• Strong experience designing and developing REST APIs, including OpenAPI documentation and API-first architecture.
• Advanced SQL Server and T-SQL capabilities, including database schema design and experience working safely with legacy production databases.
• Strong proficiency in either C#/.NET or Python, combined with the ability to understand and work effectively with code written in the other language.
• Demonstrated experience building AI/LLM-powered solutions for document processing, classification, structured data generation, confidence scoring, and human validation workflows.
• Strong ability to reverse-engineer undocumented applications, codebases, databases, business rules, and legacy processes.
• Experience developing lightweight web applications, internal tools, or similar solutions using modern JavaScript frameworks or equivalent technologies.
• Experience with comprehensive software testing and delivery practices, including end-to-end testing, acceptance testing, validation frameworks, runbooks, and technical documentation.
• Experience with OCR, intelligent document processing, template-based document generation, e-signature integrations, workflow or rules engines, or Microsoft Graph APIs is a plus.
• Experience in financial services, municipal finance, or other highly regulated or data-sensitive environments is advantageous.
• Strong AI fluency, including practical use of AI-assisted development tools while maintaining human oversight and engineering quality standards.
• Ability to operate autonomously as a primary technical builder across several concurrent initiatives.
• Excellent client-facing communication skills and the ability to explain technical concepts and decisions to non-technical stakeholders.
• Strong ownership, prioritization, problem-solving, and decision-making skills.
• Pragmatic engineering mindset focused on incremental delivery, early validation, maintainability, and avoiding overengineering.
• Comfortable working with international teams and US-based clients in a remote environment.

• Work arrangement: 100% remote.
• Compensation: Above-average USD salaries.
• Profit sharing: [not specified]