Principal AI Native Engineer (.NET + AI)

Remote in Ukraine

.NET

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We are seeking a Principal AI Native Engineer (.NET + AI) to lead the technical execution of AI maturity initiatives across the software development lifecycle. This role requires overlap with the customer's time zone (US East, until 12:00 PM ET / 6:00 PM CET) and focuses on operationalizing AI-driven practices, configuring intelligent tooling, and enabling delivery teams to achieve measurable improvements in speed, quality, and consistency.

Responsibilities

Own technical execution of the AI maturity journey up to Level 3 within assigned projects or programs
Define and operationalize AI-driven practices across the SDLC, covering requirements, design, development, testing, documentation and delivery
Ensure practical, repeatable and accessible AI solutions for all delivery roles, including Engineers, QAs, Scrum Masters and Product Owners
Continuously assess SDLC workflows for bottlenecks and introduce AI-powered improvements with measurable impact
Select, configure and maintain AI tools and assistants supporting SDLC activities such as code discovery, reverse engineering, automated code generation, refactoring, code reviews, quality analysis and technical debt identification
Configure AI assistants for non-coding activities including requirements analysis, user story mapping, technical documentation and test case generation
Integrate AI assistants with delivery platforms such as Azure DevOps, CI/CD pipelines and diagramming tools
Define and maintain agentic enablement architecture, covering skills, subagents, rules, tech guides and inter-agent contracts
Design coordinated agent workflows to support SDLC activities such as story intake, coding, testing and documentation, and establish confidence thresholds, fallback strategies and validation stages
Develop and maintain usage guidelines, artifacts change logs, evaluation results and component-level technical documentation for AI tools and agents
Coach and support delivery roles in the effective use of AI tools, while driving adoption to improve speed, quality and consistency of software delivery
Track emerging AI trends, pilot promising approaches and experiment with advanced capabilities such as background agents, AI-enabled CI/CD workflows and spec-driven development tools

Requirements

10+ years of software engineering experience with strong expertise in .NET
Strong knowledge of context engineering and advanced prompt patterns, with the ability to create and maintain shared prompt libraries and reusable instruction sets
Competency in ensuring prompt consistency and workflow reusability
Hands-on experience with GitHub Copilot, Claude Code and cloud-based AI platforms
Proven ability to integrate AI tools with SDLC systems such as Azure DevOps, CI/CD and documentation tools
Understanding of multi-agent communication and coordinated workflows
In-depth understanding of the software development lifecycle beyond just automation
Capability to optimize SDLC processes using AI while remaining mindful of quality, security, traceability and auditability concerns
English proficiency at B2+ level