Ai Manager (Tijuana)

Ai Manager (Tijuana)

13 ago
|
Seguros confie
|
Tijuana

13 ago

Seguros confie

Tijuana

**Job Information**:
Department Name
- BUSINESS INTEL. & ANALYTICS
Job Type
- Full time
Industry
- Technology
Service Now Ticket
- INC
Modality
- WFH
Work Experience
- 5+ years
Assigned Recruiter Contact
Date Opened
- 02/23/2026
City
- Tijuana
State/Province
- Baja California
Country
- Mexico
Zip/Postal Code
- 22010
- The AI manager own outcomes for the team’s LLM and GenAI portfolio by translating business problems into an LLM roadmap, leading delivery of production-grade LLM solutions, and ensuring reliability, scalability, governance, and measurable business impact.
**Requirements**:
- Advanced English Level
- 5+ years in software/AI roles with 2+ years focused on LLM/GenAI
- 2+ years leading teams and delivering cross-functional products
- 2+ years leading teams and delivering cross-functional products
- Engineer Degree (Software Engineer would be a plus)
- API design, service integration, cloud deployment patterns
- RAG quality tuning (chunking, retrieval strategy, grounding, evaluation sets)
**Job Activities**:
- Own the LLM product portfolio Define the GenAI roadmap, prioritize use cases, and deliver measurable business impact.
Deliver production LLM solutions end to end Lead discovery MVP pilot
- scale, with clear milestones, acceptance criteria, and success metrics.




- Set LLM technical standards and architecture Establish patterns for RAG, prompting, tool calling, evaluation, and monitoring so solutions are consistent and maintainable.
- Operate and govern LLM systems Ensure reliability, cost controls, security, privacy/PII handling, and responsible AI guardrails.
- Lead the team and execution cadence Coach engineers, run planning/reviews/demos, enforce accountability, and raise delivery quality.
- Manage stakeholders and adoption Align with business owners and partners (Product/Eng/Security/Ops), drive rollout, and communicate trade offs and progress.
- Own the LLM platform architecture - Define the reference architecture for LLM services (APIs, RAG layers, tool integrations, identity/access, secrets management) and ensure designs are scalable, secure, and reusable across teams.
- Build observability and cost governance into the stack - Standardize logging/tracing/metrics, quality dashboards, token and latency monitoring, budget alerts, and usage analytics to control reliability and unit costs at scale.
**Benefits**:
- Private Health Insurance.
- Life Insurance.
- Saving Funds and Voluntary Savings Account.
- Profit Sharing (PTU).
- Vacation Days (above law).
- Christmas bonus.
- Vacation premium.

📌 Ai Manager (Tijuana)
🏢 Seguros confie
📍 Tijuana

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