Solution Architect, Agentic Engineering
Core
Define and evolve high-level technical architecture for internal and client platforms, translating business goals into agent capabilities and system-level behaviors for agentic customer experience solutions.
Role type
Senior IC Solution Architect (Agentic Engineering)
Builds
Scalable, secure, observable AI-powered systems and shared services for consumer and entertainment brands.
Domain
AI-native delivery, Agentic Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | infrastructure
Required skills
System architecture for distributed systems, Spec-driven development, Prompt engineering, LLM integration (Gemini, Claude, GPT-4/5), Vector stores and RAG pipelines, Agent Development Kits (ADK), RESTful API design, Google Cloud Platform (GCP), Terraform, Python 3, TypeScript, Mentoring senior engineers
Preferred skills
BMAD Method, AI agent design patterns, Agent observability, Layered architecture patterns, Next.js/React
Technologies
Gemini 3, Claude Opus, GPT-4.x/5.x, Contentful, Contentstack, Algolia, Cloudinary, Vertex AI, Google Gen AI APIs, Copilot, Claude Code, GCP, Terraform
Responsibilities
Define high-level technical architecture for internal and client platforms; Translate backlog requirements into detailed specs for agents; Design layered and distributed architectures using queues, caching, APIs, and databases; Coach engineers on agent design and prompt architecture; Lead design of AI-powered systems including LLM integrations and RAG pipelines; Mentor senior engineers and technical leads; Partner with Engineering Managers and Product leaders to align technical initiatives.
Seniority
Senior, hands-on IC with leadership responsibilities
