Job Description:
About DXC
DXC Technology helps general organizations run their mission-critical systems while modernizing IT, optimizing data architectures, and accelerating innovation through cloud, automation, and Artificial Intelligence.
We are looking for an experienced AI Platform Engineer to lead the design and implementation of the AI foundation for a next-generation enterprise CPQ platform. This role combines AI engineering, data architecture, LLM integration, and platform modernization to transform a highly complex legacy application into an AI-native solution.
This is not simply an AI integration role—it is an opportunity to define how AI becomes a core part of the platform architecture, enabling intelligent decision-making, automation, and scalable enterprise solutions.
Required Technical Skills
Python – primary development language for AI/ML systems, LLM orchestration (LangChain, LlamaIndex), data pipelines, embedding generation, vector operations, and rapid prototyping; required across all three roles but primary here
Prompt engineering – crafting precise,



constraint-rich prompts and AI constitutions (CLAUDE.md-style rule files) that direct AI behaviour reliably
LLM integration – Claude, GPT models, GitHub Copilot; building AI-augmented workflows and agentic systems for enterprise applications
MCP (Model Context Protocol) – building tool-use interfaces and AI skill development that give LLMs structured access to our current CPQ tool’s services and databases
Vector databases – embedding-based retrieval (Pinecone, Weaviate, pgvector) for knowledge management, documentation search, and institutional memory
JSON – schema design for AI tool definitions, MCP interfaces, LLM function calling specifications, structured output parsing, and agent configuration
Markdown – AI constitution authoring (CLAUDE.md files), prompt templates, knowledge base structuring, and documentation-as-code
Data modelling for AI – designing data structures and schemas that LLMs can re

📌 AI Engineer (Ciudad de México)
🏢 Dxc Technology
📍 Ciudad de México