AI Architect

Job not on LinkedIn

🕒 July 23

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 32%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VALCE Talent Solutions

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2016

🤝 B2B

🎯 Recruiter

💼 Consulting

B2B • Recruitment • Consulting

VALCE Talent Solutions is a company specializing in nearshoring, IT talent acquisition, and consultancy aimed at helping businesses expand globally, particularly in Mexico, LATAM, and the United States. They offer customized solutions that include talent recruitment, workforce management, and the integration of technology and artificial intelligence to enhance business processes. With a strong focus on strategic consulting, VALCE aims to connect technology, talent, and tangible results, boasting a robust network of IT professionals and a proven track record of successful placements and project scaling.

📋 Description

• Design and implement end-to-end AI architecture for a new product within Tech Risk, focused on SOC reporting and intelligent automation. • Define and govern AI models, pipelines, and infrastructure, ensuring scalability, security, and compliance with enterprise and regulatory standards. • Drive innovation by incorporating LLMs, generative AI, and advanced analytics into product capabilities. • Collaborate with cross-functional teams to translate business requirements into AI-driven solutions. • Architect end-to-end AI platforms across cloud environments (Azure, AWS, GCP).

🎯 Requirements

• Strong experience in AI/ML architecture and solution design • Proven experience working with LLMs, generative AI, and AI platforms • Experience designing and integrating APIs and microservices • Cloud experience: Azure (preferred), AWS, or GCP • Familiarity with vector databases, embeddings, and semantic search • Understanding of Tech Risk, compliance, or SOC-related processes (preferred) • Experience in distributed systems and scalable architectures • M.S. or B.S. in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development