Principal AI SDLC Architect IRC

Overview

Principal AI SDLC Acceleration Architect to help customers prove the value of Velocity AI 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, accelerating traditional Scrum‑based SDLC and 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 ideal candidate is a hands‑on builder, deep architect, strong communicator, and first‑principles thinker who can engage both engineering teams and executive stakeholders.

• 15+ years of experience in software engineering, architecture, product engineering, platform engineering, solution architecture, or similar roles, with strong product‑side delivery experience.
• Deep understanding of software architecture, SDLC, Agile/Scrum, Dev Sec Ops , product lifecycle, and enterprise engineering practices.
• 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.
• Experience with tools and frameworks such as Claude Code, Google Cloud Code, OpenAI Codex, Git Hub Copilot, Cursor, Windsurf, Lang Chain, Auto Gen, Llama Index, Semantic Kernel, MCP, RAG, or vector databases.
• Experience in customer‑facing technical roles such as principal architect, field engineer, solution architect, forward‑deployed engineer, technical advisor, or pre‑sales engineering leader.
• Strong understanding of AI governance, human‑in‑the‑loop controls, responsible AI, security, observability, and production readiness for AI‑enabled systems.

• Work directly with customer engineering, product, architecture, and executive teams to identify SDLC bottlenecks and opportunities for AI‑led acceleration.
• Design and deliver working proofs using Velocity AI SDLC, modern AI development tools, agentic workflows, and automation.
• Help customers move from traditional ticket‑ and sprint‑based delivery toward intent‑driven delivery loops that generate plans, code, tests, documentation, and validation artifacts.
• Define and measure acceleration outcomes such as reduced cycle time, faster story‑to‑code conversion, improved test generation, faster code review, reduced handoffs, and improved release readiness.
• Present technical approach, architecture, proof results, business impact, and adoption recommendations to both technical and executive audiences.

• Equitable compensation and a comprehensive benefits package prioritizing overall well‑being.
• Flexible opportunities for work‑life balance, including relocation and rotation options.
• Continuous learning and professional development support.
• Commitment to diversity, equity, and inclusion with equal opportunities for all.