Principal AI SDLC Acceleration Architects to help customers prove the value of VelocityAI SDLC through hands-on architecture, AI-enabled engineering, and measurable delivery acceleration.

This role is for senior architects and engineers who can modernize software delivery using AI.

The focus is not only on accelerating traditional Scrum-based SDLC, but also on helping customers adopt intent-driven, increasingly autonomous delivery models where AI tools, agents, automation, and human governance turn business or product intent into validated software outcomes.

The adecuado candidate is a hands-on builder, deep architect, strong communicator, and first-principles thinker who can engage both engineering teams and executive stakeholders.

Requirements

Must-Have Qualifications and Experience Experience:

15+ years of experience in software engineering, architecture, product engineering, platform engineering, solution architecture, or similar roles, with strong product-side delivery experience.

Domain Knowledge:



Deep understanding of software architecture, SDLC, Agile/Scrum, DevSecOps, product lifecycle, and enterprise engineering practices.

Technical Fluency: Hands-on fluency with AI development tools, IDE-based AI assistants, agentic workflows, and AI-enabled software delivery, with the ability to build, evaluate, and explain working solutions.

Good-to-Have Skills or Attributes Tools & Frameworks:

Experience with tools and frameworks such as Claude Code, Google Cloud Code, OpenAI Codex, GitHub Copilot, Cursor, Windsurf, LangChain, AutoGen, LlamaIndex, Semantic Kernel, MCP, RAG, or vector databases.

Customer Engagement: Experience in customer-facing technical roles such as principal architect, field engineer, solution architect, forward-deployed engineer, technical advisor, or pre-sales engineering leader.

AI Governance: Strong understanding of AI governance, human-in-the-loop control

📌 VelocityAI SDLC GTM – FDE1 (Argentina)
🏢 Globallogic
📍 Argentina