Senior AI Solutions Architect - LLM & RAG for Enterprise

Capmation Inc.; Xico; On-site; MXN 1,200,000 - 1,900,000; Full time

Job summary

Capmation Inc. is seeking a Solutions Architect to lead the design, development, and deployment of scalable agentic AI solutions for enterprise environments. You will drive hands-on engineering while providing technical leadership across teams and stakeholders.

The role requires senior technical vision, mentorship of engineers, and the ability to balance pragmatic delivery with strategic decisions in a fast-moving AI landscape.

Qualifications

• Must have 6+ years of software engineering experience with 3+ years in architect/lead roles and 2+ years building LLM-based apps.
• Proven track record designing end-to-end AI architectures for enterprise environments.
• Hands-on experience with LLM frameworks, vector databases, and API integration.

Responsibilities

• Lead end-to-end architecture of agentic AI solutions, integrating LLMs, RAG, AI agents, APIs and vector databases.
• Design, develop, and deploy AI apps and agent workflows while evaluating new AI frameworks and methodologies.
• Define guardrails and human-in-the-loop controls within multi-agent systems.
• Oversee integration of AI components with enterprise APIs, data platforms, and SaaS systems with strong security and observability.
• Define evaluation frameworks for LLMs and agents, including latency and cost considerations.
• Drive optimization of prompts, routing, caching and retrieval for cost efficiency.
• Own production health of AI workloads, incident triage and root-cause analysis.

Skills

LLM development

RAG pipelines

Agent orchestration

Python

API design

Cloud experience

Education

BS/MS in CS or related

Tools

LangChain / LangGraph

Semantic Kernel

LlamaIndex

CrewAI / AutoGen

Job description

Capmation Inc. is seeking a Solutions Architect to lead the design, development, and deployment of scalable agentic AI solutions for enterprise environments. You will drive hands-on engineering while providing technical leadership across teams and stakeholders.

The role requires senior technical vision, mentorship of engineers, and the ability to balance pragmatic delivery with strategic decisions in a fast-moving AI landscape.