Job Summary:
Grant Thornton is building an AI Factory to deliver production‑grade, agentic AI solutions that generate measurable business outcomes while meeting enterprise standards for trust, security, and governance. As a Lead AI Architect, you will serve as the technical authority within an AI Pod, responsible for designing, governing, and scaling agentic systems from concept through production. This role sits at the intersection of AI engineering, enterprise architecture, and responsible AI. You will define how agents think, act, integrate, and fail safely ensuring solutions are robust, observable, and fit for real‑world operations.
Responsibilities:
Agentic Architecture & Technical Leadership
- Own the end‑to‑end architecture for agentic AI solutions, from design through production
- Define and implement agentic patterns, including:
- Planner / Executor / Validator agents
- Tool‑using and multi‑agent orchestration
- Memory, retrieval (RAG), and context strategies
- Ensure agent behavior is:
- Bounded
- Observable
- Recoverable in failure scenarios
Platform & Integration Design
- Select and standardize on appropriate platforms and services (e.g., Azure‑based AI stacks)
- Design integration patterns for:
- Enterprise systems (ERP, CRM, case management)
- APIs and event‑driven workflows
- Human‑in‑the‑loop escalation paths
- Partner with Automation and Integration Engineers to ensure agents can execute actions, not just generate responses
Enterprise Readiness & Non‑Functional Requirements
- Define and enforce non‑functional requirements, including:
- Security, identity, and access control
- Data privacy and handling constraints
- Latency, reliability, and cost controls
- Ensure solutions are auditable, traceable, and aligned with enterprise risk expectations
- Design for scale, reuse, and long‑term maintainability across AI Pods
Evaluation, Monitoring & Guardrails
- Establish evaluation frameworks for:
- Accuracy and quality
- Hallucination detection
- Drift a
📌 Lead Ai Architect (Bogotá)
🏢 Auxis
📍 Bogotá