Senior Agentic Engineering Consultant

• Deliver AI-forward agentic projects and priority engineering items
• Build and scale a secure, reusable agentic engineering harness
• Design and implement agentic harnesses and loop-engineering workflows covering context loading, planning, coding, tool execution, testing, validation, recovery, self-correction, and human review
• Design, code, test, and maintain skill files, tool definitions, prompts, schemas, personas, repository instructions, and reusable harness components
• Engineer MCP servers and integrations with Azure DevOps, repositories, pipelines, engineering standards, and approved enterprise knowledge sources
• Build and maintain Playwright as the test-verification harness and tool for agentic workflows
• Diagnose and fix application exceptions, production defects, and security vulnerabilities
• Implement durable code corrections, automated tests, and validated remediation
• Deliver production-quality applications, APIs, services, and automation using C#/.NET, Angular, Azure SQL, Python or TypeScript, Azure, Git, Azure DevOps, and CI/CD
• Use an advanced agent-based coding tool for autonomous and multi-step delivery, multi-file and cross-repository changes, modernization, refactoring, test-and-fix loops, code review, and documentation
• Implement quality, security, and governance controls, including automated tests, protected-branch approvals, least privilege, secrets management, traceability, prompt-injection defenses, and safe tool execution
• Instrument agent runs and delivery outcomes for quality, reliability, cycle time, rework, cost, tool use, and human intervention
• Work directly with the Sr. Director to convert priorities into an executable backlog
• Demonstrate progress, document standards, and transfer knowledge to the current engineering team

• 90% English written and oral, at least B2 level
• 7+ years of professional software engineering experience with senior-level design and hands-on delivery responsibility
• Demonstrated harness-engineering and loop-engineering experience, including tool calling, structured context, planning and execution loops, evaluation, recovery, self-correction, and human review
• Expert-level experience with at least one enterprise agent-based coding tool
• Experience with autonomous workflows, multi-file and cross-repository implementation, test-and-fix loops, refactoring, code review, and validation of AI-generated code
• Core engineering expertise in C#/.NET, Angular, Azure SQL, API development, and OpenAPI specifications
• Practical Python or TypeScript experience for agent tooling and automation
• Deep experience with Azure, Azure DevOps, Git, pull requests, YAML pipelines, CI/CD, automated testing, DevSecOps, and Playwright for browser automation and test verification
• Experience with MCP or equivalent integration patterns, including authentication, authorization, schemas, observability, error handling, and safe execution
• Strong communication, technical judgment, ownership, and solution-oriented mindset
• Ability to translate ambiguous engineering challenges into practical, secure, and maintainable solutions
• Ability to work directly with a senior technology leader
• Preferred: GitHub Copilot experience
• Preferred: Claude Code experience
• Preferred experience with Microsoft Foundry, Copilot Studio, Microsoft 365 Copilot, Azure API Management, Azure Functions, Application Insights, Key Vault, Service Bus, or Cosmos DB
• Preferred experience with .NET modernization, SAST/Snyk, contract testing, evaluation harnesses, golden test sets, agent benchmarks, AI cost controls, enterprise change management, privacy, security, architecture governance, and production support

• Excellent work environment certified by Great Place To Work
• Remote work option
• Knowledge transfer to internal teams