Enroute

MCP Solutions Architect

🇲🇽 Remote, Mexique Remote Temps plein Publié Mai 29, 2026
Lieu Remote, Mexique
Mode de travail Remote
Contrat Temps plein
Langue English
Publié 29 mai 2026
Dernière vérification 31 mai 2026
Contexte JobGrid

Résumé du poste par JobGrid

MCP Solutions Architect at Enroute is a remote, full-time role in Mexico. JobGrid shows the structured facts only, keeps the employer description separate, and sends candidates to the original public application page with non-personal referral parameters. The posting was first seen on 2026-05-29 and last checked on 2026-05-31; salary, seniority, and category were not provided in the payload.

  • Remote, Mexico; full-time; work language: English.
  • JobGrid normalizes the role facts for comparison while preserving the original-language employer source separately.
  • Source freshness is included: posted on 2026-05-29 and last checked on 2026-05-31.
  • No salary, seniority, or category is present in the supplied data, so JobGrid does not add those details.

We love technology, and we enjoy what we do. We are always looking for innovation. We have social awareness and try to improve it daily. We make things happen. You can trust us. Our Enrouters are always up for a challenge. We ask questions, and we love to learn.

We pride ourselves on having great benefits and compensations, a fantastic work environment, flexible schedules, and policies that positively impact the balance of work and life outside of it. We care about who you are in the office and as an individual. We get involved, we like to know our people, we want every Enrouter to become part of a great community of highly driven, responsible, respectful, and above all, happy people. We want you to enjoy working with us.

We are looking for an MCP Solutions Architect to support client integrations, troubleshoot technical issues, and serve as the bridge between customer engineering teams and our internal AI engineering team.

This role is ideal for someone who enjoys working directly with clients, solving technical problems, and helping teams successfully adopt AI-powered solutions.