Solution Engineer (Azure & AI)

Accountabilities

• • 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.

  Requirements

  • 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.

  Benefits

  • Work arrangement: 100% remote.
  • Compensation: Above-average USD salaries.
  • Profit sharing: Participation in a profit-sharing program.
  • Paid time off: 20 PTO days during the first year, increasing to unlimited PTO after the first year.
  • Equipment: Equipment provided to support your home-office setup.
  • Work-life balance: Strong emphasis on sustainable workloads and a healthy work-life balance.
  • International exposure: Collaborate with US-based clients and distributed international teams.
  • Culture: Honest, transparent, people-centered working environment.
  • Professional growth: Opportunity to work across cloud engineering, AI, application modernization, APIs, and emerging technologies.
  • Autonomy: Significant ownership over technical decisions and delivery across multiple workstreams.