AI Adoption Lead / AI Evangelist
- Monterrey
- Montevideo
- Remote.Argentina
- Remote.Brazil
- Remote.Colombia
- Rosario
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Client
Project overview
Team
Position overview
Technology stack
Responsibilities
- Serve as the primary AI consultant within the organization and identify opportunities for AI driven innovation
- Develop and execute AI strategy aligned with business goals and transformation priorities
- Assess, prioritize, and define roadmaps for AI initiatives across business units
- Collaborate with cross functional teams to design and deliver AI solutions
- Provide guidance on technologies such as large language models, retrieval augmented generation, and AI agents
- Ensure solutions meet business objectives, quality standards, and responsible AI principles
- Mentor team members and support development of internal AI capabilities
- Facilitate workshops, demonstrations, and training sessions to promote AI adoption
- Communicate progress, risks, and value of AI initiatives to stakeholders and leadership
- Define and track KPIs, adoption metrics, and ROI frameworks
- Establish governance frameworks, usage policies, and guardrails for AI adoption
- Support transition to AI augmented and agent based software development practices
- Drive change management efforts across teams adopting AI technologies
Requirements
- 7+ years of experience in AI consulting, solution architecture, or related roles
- Experience delivering AI initiatives from ideation through implementation in enterprise environments
- Strong knowledge of AI and ML concepts including large language models, NLP, computer vision, and retrieval augmented systems
- Experience working with business stakeholders to translate requirements into AI solutions
- Hands on collaboration with development teams and data scientists
- Proficiency with Python and familiarity with frameworks such as PyTorch or TensorFlow
- Understanding of MLOps practices including deployment, monitoring, and CI CD pipelines
- Knowledge of AI ethics, data privacy, and governance principles
- Experience designing and delivering AI enablement or training programs
- Strong communication, stakeholder management, and leadership skills
- Ability to manage multiple priorities in complex and fast moving environments
- Understanding of AI driven software development lifecycle and agent based methodologies
Nice to have
- Experience with cloud AI platforms such as AWS, Azure, or Google Cloud
- Familiarity with orchestration frameworks such as LangChain, LangGraph, or Semantic Kernel
- Experience with vector databases and retrieval infrastructure
- Exposure to agent based workflows and AI augmented delivery models
- Experience contributing to pre sales or business development activities
- Background in Travel and Hospitality domain
- Experience with AI governance, compliance, or risk management frameworks
- Published articles, presentations, or contributions to AI thought leadership
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