Descripción y detalle de las actividades
**Key Responsibilities (Written as measurable delivery)**
**1) Discovery & Value Definition**
- Facilitate workshops with Operations, Planning, Logistics, Finance, and IT to map processes and identify automation opportunities.
- Convert ambiguous pain points into concrete artifacts:
- problem statements, SIPOC, requirements, risk assumptions
- data readiness assessment
- measurable success metrics (baseline vs target)
**2) Roadmap + Business Case Ownership**
- Build and maintain a **1-3 year roadmap** of AI initiatives with sequencing, dependencies, and resourcing needs.
- Create business cases using financial justification (ROI, payback, sensitivity ranges) and operational baselines.
**3) Build & Deploy AI Solutions (Hands-On)**
- Develop production-grade AI solutions and agents using modern AI technologies, including LLM APIs where appropriate.
- Implement evaluation + monitoring to ensure accuracy, stability, and safety in real workflows.
- Deploy solutions in a way that is supportable, auditable, and measurable.
**4) Technology Stewardship & Enablement**
- Define best practices for prompt design, agent tools, safe data usage, and responsible AI patterns.
- Document solutions (runbooks, user guides, change logs) and train business users to adopt and maintain solutions.
**5) KPI Tracking & Continuous Improvement**
- Measure savings and performance: time saved, error reduction, throughput impact, service improvements.
- Iterate based on telemetry, user feedback, and operational changes.
Experiência y requisitos
**Required Qualifications (Must-Have)**
- **Experience**: 5-10 years in engineering, analytics, supply chain tech, automation,



or related roles with demonstrated delivery of systems/solutions
- **Applied AI Capability**: Experience implementing AI solutions in business environments (GenAI/LLMs, predictive analytics, optimization, automation)
- **Hands-On Engineering**: Ability to build and integrate working solutions (not only manage vendors or create slides)
- **Integration & Data**: Experience with APIs, data extraction/processing, structured data formats (CSV/JSON), and connecting to business systems
- **Business + Technical Communication**: Ability to present solutions to executives and frontline users with clarity and credibility
- **Languages**: Fully bilingual Spanish-English
- **Travel**: Ability to travel in U.S. and Canada
**Preferred Qualifications (Nice-to-Have)**
- Experience with AI agent frameworks (e.g., orchestration frameworks), RAG concepts, or vector search patterns
- Experience with cloud AI services and operational best practices
- Supply Chain domain expertise (WMS/ERP/TMS, distribution/warehousing, planning, transportation)
- Project management and continuous improvement methods (value stream mapping, Lean, etc.)
Beneficios
- Beneficios de acuerdo a la LFT
- seguro de vida
- comedor
- fondo de ahorro
- transporte
- uniforme
- seguro de gastos médicos
- utilidades garantizadas
- servicios médicos en planta
- seguro dental
**Número de vacantes** 1
**Área** Informática/Sistemas/TI/Programación/Software
**Contrato** Permanente
**Modalidad** Presencial
**Turno** Diurno
**Jornada** Tiempo Completo
**Horario**
- Jornada completa
- Turno Matutino
- Lunes a viernes
**Estudios** Carrera con título cualificado
**Inglés**Hablado: Avanzado, Escrito: Avanzado
**Disponibilidad p. viajar** Si

📌 Ai Solutions Engineer (Supply Chain Ai & Automation) (Tijuana)
🏢 Avery Products, De C.V.
📍 Tijuana