Lead AI SDLC Architect — Accelerate AI-Driven Delivery

GlobalLogic; Philadelphia (Philadelphia County); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Exciting Projects

Collaborative Environment

Work-Life Balance

Professional Development

Excellent Benefits

Job summary

GlobalLogic is seeking 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 targets senior architects and engineers who can modernize software delivery using AI, guiding teams and executives to adopt intent-driven, increasingly autonomous delivery models with AI tools, governance, and rapid outcomes.

Qualifications

• Experience in AI governance, human-in-the-loop controls, and production readiness for AI-enabled systems.
• Customer-facing technical roles such as principal architect or solution architect.
• Ability to engage both engineering teams and executive stakeholders.

Responsibilities

• Identify SDLC bottlenecks and opportunities for AI-led acceleration with customer teams.
• Design and deliver proofs using VelocityAI SDLC and modern AI tools.
• Help customers move toward intent-driven delivery loops that generate plans, code, tests, docs, and validation artifacts.
• Define and measure acceleration outcomes such as reduced cycle time and faster code-to-test flows.
• Present technical approach, results, and adoption recommendations to technical and executive audiences.

Skills

Customer engagement

AI governance

Executive communication

Tools

Claude Code

Google Cloud Code

OpenAI Codex

GitHub Copilot

Cursor

Windsurf

LangChain

AutoGen

LlamaIndex

Semantic Kernel

MCP

RAG

Vector databases

Job description

GlobalLogic is seeking 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 targets senior architects and engineers who can modernize software delivery using AI, guiding teams and executives to adopt intent-driven, increasingly autonomous delivery models with AI tools, governance, and rapid outcomes.