Solution Architect (Agentic Development Lifecycle)
Core
Lead the agentic transformation of software development by owning the Solution Architecture role in an internal AI Factory, building agentic pipelines, and mentoring teams.
Role type
Principal-level Solutions Architect (Agentic Development Lifecycle)
Builds
Agentic pipelines, worker packages, gates, and development pipelines for the Geniusee AI Factory
Domain
AI Engineering / Agentic Software Development
Deliverable
production ML models
Required skills
Multi-agent patterns, MCP servers/clients, Anthropic stack (Claude Code, Agent SDK), spec-driven delivery, agent quality engineering, technical discovery, architectural vision, training delivery
Preferred skills
AWS Certified Solutions Architect, open-source contributions, design-to-code pipelines, compliance frameworks
Technologies
TypeScript, Node.js, Python, Java/Kotlin, .NET, React, AWS, Claude Code, Cursor, Codex, OpenAI Agents SDK, LangGraph, CrewAI, OpenSpec, Spec Kit, BMAD
Responsibilities
Own and evolve the Solution Architecture role and internal agentic platform; act as hands-on SA for presales and discovery; lead pilot implementations; establish company-wide standards for spec-first development; build and deliver multi-level training programs; define and track agentic delivery metrics
Seniority
Principal, hands-on IC with mentorship
