Job Summary:
Grant Thornton is building an AI Factory to deliver enterprise‑grade, agentic AI solutions that are reliable, scalable, and trusted in real operating environments. As an AI Data / Platform Engineer, you will be responsible for the data and platform foundations that enable AI Pods to move fast _without breaking trust_. You will ensure agentic solutions have access to high‑quality, governed, and performant data, and that AI platforms are designed for production use, not experimentation. This role is critical when clients face fragmented data, legacy systems, or enterprise constraints that would otherwise limit AI effectiveness.

Responsibilities:
AI‑Ready Data Engineering
- Design and implement data pipelines that support AI and agentic workloads, including:
- Structured and unstructured data ingestion
- Data transformation and normalization
- Feature and context availability for AI use cases
- Ensure data is accurate, timely, explainable, and fit for AI consumption
- Define data contracts and quality expectations between source systems and AI components

Retrieval,



Context & Knowledge Systems
- Design and maintain retrieval systems that power AI agents, including:
- Vector databases and embedding pipelines
- Metadata enrichment and indexing strategies
- Hybrid retrieval (structured + unstructured)
- Optimize context delivery for:
- Accuracy
- Latency
- Cost efficiency
- Partner with AI Engineers to improve relevance and reduce hallucinations caused by poor context

AI Platform & Infrastructure Enablement
- Build and operate AI‑adjacent platform components, including:
- Data access layers and APIs
- Secure storage for prompts, embeddings, and artifacts
- Model and prompt lifecycle support (versioning, rollback, traceability)

Support CI/CD and environment promotion for AI workloads (dev test
- prod)
- Implement platform standards that enable reuse across AI Pods

Governance, Security & Enterprise Readiness
- Enforce enterprise‑grade controls across data a

📌 Ai Data (Bogotá)
🏢 Auxis
📍 Bogotá