Agentic AI Architect
pinnacleu
Job Description
System Architecture & Design
- Define the end-to-end agentic AI architecture — LLM orchestration layers, agent coordination mechanisms, memory management, tool-calling patterns, and multi-agent workflows
- Design multi-agent orchestration patterns including hierarchical agents, supervisor-worker topologies, plan-and-execute strategies, and agent-to-agent (A2A) communication
- Architect RAG (Retrieval-Augmented Generation) pipelines, hybrid search, and knowledge management systems tailored to higher-education content (catalogs, policies, student data)
- Establish architectural standards for prompt engineering, context-window management, token budgeting, and evaluation frameworks
- Design for non-functional requirements: latency targets, throughput, reliability, observability, cost controls, and scaling guardrails
Production Engineering Standards
- Build production-grade systems with structured error handling, retry logic, circuit breakers, and fallback execution paths
- Define DevSecOps architecture and deployment patterns across multi-cloud environments.
- Implement human-in-the-loop (HITL) checkpoints for sensitive decision points within student journeys
- Establish monitoring, observability, and audit logging frameworks for compliance, traceability, and agent behavior analysis
- Design secure AI architectures — threat modeling, adversarial prompt defenses, and data privacy controls aligned with FERPA and SOC 2
Client & Team Communication
- Produce clear architecture documentation: reference diagrams, integration patterns, decision records, ADRs, and runbooks for production operations
- Communicate architectural trade-offs to both engineering teams and non-technical enterprise clients in a structured, accessible way
- Lead architecture and design reviews, mentoring engineers on agentic patterns and production best practices
- Serve as the technical point of contact for enterprise client integrations — translating institutional requirements into AI system design
Research & Innovation
- Stay current with the latest agent frameworks (LangGraph, CrewAI, AutoGen, Google ADK), LLM advancements, and inference optimization techniques
- Build prototypes and proof-of-concepts to validate architectural approaches before committing to production builds
- Drive the technology roadmap for Our Client's agentic platform — identifying where autonomous agents can replace manual workflows with measurable ROI