What are the responsibilities and job description for the Agentic Solution Architect (Ref: 194734) position at Forsyth Barnes?
Job Title: Agentic Solution Architect (Ref: 194734)
Location: New York City – Hybrid
Salary: Up to £220,000
Contact: jessica.dobie@fosythbarnes.com
About the Role
I’m hiring an Agentic Solution Architect to lead the design of scalable, cloud-native Agentic AI solutions on Google Cloud. This is a senior, hands-on architecture role focused on defining agent patterns, system design, and platform-aligned architectures that enable autonomous, intelligent behavior in production environments.
You’ll work closely with engineering, product, and business teams to turn complex requirements into clear, testable, and secure agentic architectures.
What You’ll Do
- Design and refine agentic AI architectures and reusable patterns
- Build scalable, secure solutions using GCP services (Vertex AI, BigQuery, GKE, Cloud Functions, Pub/Sub)
- Define architecture standards aligned with enterprise platforms and security requirements
- Produce clear architectural diagrams, specifications, and design documentation
- Ensure seamless integration with existing platforms and systems
- Support requirements engineering, design validation, and iterative testing
- Collaborate cross-functionally to align architecture with delivery priorities
What I’m Looking For
- Strong experience designing agentic and multi-agent AI systems
- Hands-on knowledge of agentic patterns (RAG, planner–executor, orchestrator–worker, multi-agent collaboration)
- Experience with agent communication standards (MCP, agent-to-agent protocols)
- Deep experience with Google Cloud and cloud-native AI architectures
- Strong system design skills for secure, resilient, high-performance platforms
- Proficiency in Python; working knowledge of Java or Go
- Experience with MLOps, data pipelines, and AI lifecycle management
- Ability to clearly communicate complex designs to technical and non-technical audiences
📍 Hybrid role — onsite in NYC
Salary : $150,000 - $220,000