Vallum Associates
AI Architect – Agentic AI & Voice AI
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Principal Agentic AI Architect
Role Purpose
Lead the overall Conversational AI and Agentic AI architecture strategy, delivery governance, and knowledge transfer into client architecture and engineering teams.
Key Responsibilities
- Define target architecture
- Lead technical design authority
- Establish reusable architecture patterns
- Govern implementation
- Mentor architects and engineers
- Create reference architectures and engineering playbooks
Key Skills
- Enterprise Architecture
- Agentic AI
- Multi-Agent Systems
- LLM Orchestration
- Context Engineering
- AI Governance
- Google Cloud Platform (GCP)
- Vertex AI
- Banking Architecture
- Stakeholder Management
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Conversational AI & Voice Architect
Role Purpose
Design and implement multimodal customer experiences across messaging, digital, and voice channels.
Key Responsibilities
- Design customer-facing agents
- Define voice interaction patterns
- Manage interruption handling and escalation
- Implement channel integration patterns
- Establish conversational standards and governance
Key Skills
- Conversational AI
- Voice AI
- Contact Centre AI
- Speech Technologies
- Vertex AI Speech Services
- Dialogflow CX
- Prompt Engineering
- Customer Experience Design
- GCP
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Context Engineering & Knowledge Architect
Role Purpose
Design enterprise Context Knowledge Base capabilities enabling retrieval, reasoning, and contextual intelligence.
Key Responsibilities
- Design RAG architecture
- Define taxonomy and ontology models
- Implement retrieval and ranking strategies
- Establish content governance and access controls
- Enable runtime context assembly
Key Skills
- Context Engineering
- RAG
- Knowledge Graphs
- Vector Databases
- Semantic Search
- Taxonomy Design
- BigQuery
- Vertex AI Search
- Information Architecture
- GCP
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