Lead AI Native Engineer (.NET + AI)

We are looking for a skilled and innovative Lead AI Native Engineer with experience in .NET and AI to drive the adoption and implementation of AI-powered solutions throughout our software development lifecycle (SDLC). You will lead the charge in creating agentic workflows, configuring AI tools, and optimizing processes that enhance the speed, quality, and efficiency of software delivery.
Responsibilities
Own technical execution of the AI maturity journey within assigned projects or programs
Define and implement AI-driven practices across SDLC (requirements, design, development, testing, documentation, delivery)
Ensure accessible and practical AI solutions for Engineers, QAs, Scrum Masters, and Product Owners
Assess workflows for bottlenecks and introduce AI-powered improvements with measurable impact
Select, configure, and maintain AI tools and assistants for SDLC activities
Configure AI coding tools for code discovery, reverse engineering, automated code generation, refactoring, code reviews, technical debt identification, and quality analysis
Configure AI assistants for requirements analysis, user story mapping, technical documentation, and test case generation
Integrate AI assistants with tools like Azure DevOps and CI/CD pipelines
Define and maintain agentic enablement architecture, including skills, subagents, rules, and inter-agent contracts
Design coordinated agent workflows supporting SDLC activities (story intake, coding, testing, documentation)
Establish confidence thresholds, fallback strategies, and validation stages for AI-assisted workflows
Develop and maintain usage guidelines for AI tools and agents
Maintain artifacts change logs, evaluation results, and component-level technical documentation
Contribute to system design and AI-enabled workflow documentation
Coach Engineers, QAs, Scrum Masters, and Product Owners in utilizing AI tools effectively
Promote adoption of AI-powered practices to enhance software speed, quality, and consistency
Monitor tool usage, identify gaps or inefficiencies, and propose actionable solutions
Track and evaluate emerging AI trends, piloting promising innovations in projects
Requirements
7+ years of professional experience in software engineering or equivalent roles
At least 2 years of experience in a leadership capacity
Strong knowledge of context engineering and advanced prompt patterns
Ability to create and maintain shared prompt libraries and reusable instruction sets
Demonstrated competency in ensuring prompt consistency and workflow reusability
Proven software engineering background with expertise in .NET
Hands-on experience with GitHub Copilot, Claude Code, and cloud-based AI platforms
Demonstrated ability to integrate AI tools with SDLC systems like Azure DevOps or CI/CD
Understanding of multi-agent communication and coordinated workflows
In-depth understanding of software development lifecycle, beyond just automation
Ability to optimize SDLC processes using AI, mindful of quality, security, traceability, and auditability concerns
English proficiency at B2 level or above
Nice to have
Proficiency in Python for scripting and developing AI-driven solutions or integrations
Knowledge of Microsoft Azure services for deploying and managing AI applications in the cloud
Experience in Gen AI application development, including building AI-powered tools and solutions
Understanding of GenAI-enabled testing methodologies and tools for automated test case generation and maintenance
Background in leveraging GenAI tools to enhance systems engineering productivity
Qualifications in using GenAI for optimizing database administration and improving operational efficiency