AI SDLC Enablement Lead

Remote.Bulgaria
Remote.Georgia
Remote.Poland
Белград
Варна
Варшава
Вроцлав
Днепър
Ереван
Киев
Клуж-Напока
Краков
Ларнака
Лвов
Лодз
Люблин
Одеса
Рига
София
Тбилиси
Харков

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Client

Our client is a leading technology and consulting organization focused on delivering cutting‑edge digital solutions, AI‑powered products, and enterprise‑scale transformation programs. They work with global partners to design, build, and operationalize innovative tools and platforms that accelerate business value.

Position overview

We are looking for an AI SDLC Enablement Lead to transform how engineering teams build software by embedding AI tools directly into the Software Development Lifecycle (SDLC). Your mission is to accelerate delivery, improve quality, and enhance developer experience — all while ensuring proper governance, security, and compliance.

This is a hands‑on technical leadership role spanning engineering excellence, AI integration, change management, and cross‑team enablement.

Responsibilities

Design and implement AI‑augmented SDLC workflows across development, QA, and DevOps teams
Define standard AI usage patterns and best practices for engineering organizations
Integrate AI tools with GitHub/GitLab, Jira/Azure DevOps, and CI/CD pipelines
Establish guardrails for secure code generation, IP protection, and prompt reuse/versioning
Measure impact using SDLC KPIs such as cycle time, defect leakage, test coverage, and developer productivity
Partner closely with Security, Legal, and Platform teams to ensure compliant and governed AI usage
Provide coaching, guidance, and change leadership to drive adoption of AI‑assisted development across engineering teams

Requirements

8+ years of experience in software engineering or DevOps
Hands‑on use of AI coding tools such as Cursor and GitHub Copilot
Strong understanding of CI/CD pipelines and modern SDLC methodologies including Agile and DevSecOps
Deep knowledge of secure coding practices and risks associated with AI‑assisted development
Proven ability to lead change, coach engineering teams, and enable large‑scale adoption of AI‑enhanced workflows
Excellent communication skills and ability to collaborate effectively with security, legal, and platform stakeholders

Nice to have

Experience with AI‑powered QA tooling
Familiarity with enterprise engineering platforms
Exposure to AI governance frameworks

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