Software Engineer
Senior Software Architect - Senior AI Software Engineering Expert We are a digitally native company that helps organizations reinvent themselves and unleash their potential.
Senior Software Architect - Senior AI Software Engineering Expert
We are a digitally native company that helps organizations reinvent themselves and unleash their potential. We are the place where innovation, design and engineering meet scale.Globant is 20 years old, NYSE listed public organization with more than 30,000 employees worldwide working out of 36 countries globally.
www.globant.com
Job Description:
Location: Bangalore - Whitefield, Pune - Hijewadi phase - I OR Magapatta
Experience: 14-18 Years
Primary Technical Skills: . NET Core technologies, Azure, Docker, Kubernetes,
AI, AgentiAI, AI coding tools (like GitHub Copilot, Claude, Codex)
Microservice Architecture, Project Governance
End to end solutioning, proposals, estimation.
Good To Have : RFP, Presales, Proposals, estimation.
We are looking for a highly experienced software engineering expert who combines strong architecture and implementation skills with practical, disciplined use of AI-assisted development tools.This is not a generic "prompting" role. We need someone who can work across architecture, implementation, review, testing, and delivery, while also training other engineers to use AI in a controlled, repeatable, and production-ready way.
The successful candidate will help teams move beyond ad hoc AI usage. They will introduce and coach engineers on a structured AI-assisted engineering workflow that includes planning before implementation, clear constraints, reusable prompting patterns, visible review, validation, and traceability from requirements to delivered code.
You should be equally comfortable writing production code, reviewing system design, improving developer workflows, and coaching engineers on how to use tools such as Cursor, GitHub Copilot, Claude Code, Cline, or similar platforms responsibly and effectively.
What You Will Own
Lead hands-on software engineering work across design, implementation, refactoring, testing, and delivery for cloud-based business applications.
Shape solution architecture for scalable, secure, maintainable platforms, with a strong focus on .NET, Azure, APIs, and distributed systems.
Define and roll out a practical AI-assisted engineering methodology that teams can reuse across projects.
Train engineers to use AI with discipline, not just speed, including how to plan work, constrain execution, review outputs, validate results, and maintain traceability.
Create reusable prompts, templates, working agreements, commands, or playbooks that reduce inconsistent one-off prompting.
Coach teams on how to break work down into structured execution flows such as feature-by-feature, layer-by-layer, or parallelised implementation where appropriate.
Posted July 29, 2026