Forsyth Barnes · 1 week ago
Solution Architect, Agentic AI (Ref: 194736)
Forsyth Barnes is seeking a Solution Architect for Agentic AI to lead the design of AI use cases and production-ready architectures on Google Cloud. The role involves defining architectural standards and working closely with stakeholders to build scalable and secure solutions.
Responsibilities
Design end-to-end architectures for agentic AI use cases aligned to enterprise goals
Define agent operating models, decision frameworks, interaction protocols, and lifecycle management
Establish architectural guardrails, standards, and integration patterns
Design scalable, secure, and extensible solutions beyond the PoC phase
Evaluate feasibility, risks, and trade-offs for proposed solutions
Ensure architectures meet security, privacy, and compliance requirements
Lead technical design sessions and architecture workshops
Provide hands-on architectural guidance during implementation
Qualification
Required
Strong experience designing agentic AI and AI/ML architectures
Hands-on experience with Google Cloud Platform (Vertex AI, BigQuery, GKE, Cloud Functions, Pub/Sub)
Deep knowledge of agentic patterns (RAG, planner–executor, orchestrator–worker, multi-agent systems)
Experience with agent communication standards (MCP, agent-to-agent protocols)
Proven solution architecture experience in enterprise environments
Strong understanding of API, microservices, and event-driven integration patterns
Security-first mindset with knowledge of cloud security and governance
Proficiency in Python; working knowledge of Java or Go
Excellent communication skills and comfort navigating ambiguity
Company
Forsyth Barnes
Specialists in mid to executive level appointments across FinTech, eTail and Sports & Entertainment industries.
Funding
Current Stage
Growth StageRecent News
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