Lead AI-Native Software Engineer

8 West Consulting

. Design, implement, test, review and release agent-assisted changes to existing enterprise applications .

Posted 11/11/2026full-timeRemote • IrelandSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing agent-assisted workflows for enterprise applications, with a strong focus on .NET, Azure, and SQL. Capable of integrating automated testing and security controls while effectively communicating technical concepts to diverse stakeholders.

Highest-signal resume keywords

Agentic Coding WorkflowsGitHub Copilot WorkflowsEnterprise Application DevelopmentAutomated Testing ImplementationAzure DevOps Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

C#SQL ServerAutomated TestingCI/CD ChecksDebuggingArchitecture DesignPerformance OptimizationTool IntegrationContext EngineeringReusable Instructions

Soft Skills

TeachingCommunicationCollaborationProblem-SolvingConstructive Challenge

Tools & Technologies

Visual StudioVS CodeAzureGitHubGitHub ActionsMCPAgentic ToolsFeedback MechanismsExecution ControlsDelivery Pipelines

Industry Keywords

Regulated IndustriesInsuranceHealthcareFinancial ServicesLegacy CodeOperational OutcomesChange ControlsSensitive Data ControlsPrompt-Injection RisksAuditable Approvals

Tech Stack

Tools & technologies

AzureSQL.NET

About the role

Key responsibilities & impact

Design, implement, test, review and release agent-assisted changes to existing enterprise applications
Build reusable agent instructions, tools, context pipelines, execution loops and feedback mechanisms
Adapt agent workflows to established .NET services, legacy code, databases, integrations and build pipelines
Connect agent output to unit, integration and end-to-end tests, code review, security scanning, build pipelines and release criteria
Apply least-privilege permissions, approved tools and models, secure environments, sensitive-data controls, traceability and human approval points
Introduce practical workflows for understanding, modifying, testing and maintaining existing systems without disrupting live project commitments
Apply GitHub Copilot and approved agentic tools to .NET, Azure, SQL and established Git repositories, integrating with Azure DevOps, GitHub Actions and existing delivery pipelines
Pair with developers, demonstrate techniques, review agent-generated changes and create concise playbooks
Explain opportunities, limitations, risks and technical choices to developers, engineering leaders, security teams and client decision-makers
Evaluate delivery speed, rework, escaped defects, engineering effort, reliability and cost
Help 8 West Consulting develop practical, repeatable agent-driven engineering workflows for client projects and existing applications

Requirements

What you’ll need

Demonstrable personal experience shipping and supporting production software through agentic coding workflows, with rigorous verification, release controls and operational outcomes
Personal experience building and deploying AI-driven development workflows around existing production applications, including legacy code, incomplete documentation, complex dependencies, established tests and change controls
Hands-on experience with multi-step coding agents, planning, context engineering, reusable instructions or skills, tool integrations including MCP where relevant, safe execution controls and feedback-driven validation
Substantial experience designing, coding, debugging and maintaining complex enterprise applications and services, with sound judgement on architecture, APIs, data, performance and maintainability
Practical experience with GitHub Copilot agent workflows in Visual Studio or VS Code
Familiarity with .NET/C#, Azure, SQL Server and GitHub or Azure DevOps delivery practices
Ability to implement automated unit, integration and end-to-end testing, CI/CD checks, peer review, security controls, deployment verification and production troubleshooting for AI-assisted changes
Experience working within enterprise restrictions on source code, client data, secrets, tools, networks and access; understanding of prompt-injection risks, IP/licensing concerns and auditable approvals
Evidence of helping established enterprise teams adopt agentic practices amid legacy constraints, resistance to change and competing delivery priorities
Strong ability to teach by pairing and demonstration, communicate with technical and non-technical leaders, constructively challenge assumptions and bring developers with you
Desirable: experience in regulated industries such as insurance, healthcare or financial services
Desirable: broader agentic tooling, advanced delivery automation, AI systems assessment, consulting and technical leadership experience