AI Adoption Lead / AI Evangelist

Remote.Argentina
Remote.Brazil
Remote.Colombia
Rosario
Монтевидео
Монтерей

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Client

Our client is a global leader in luxury and experiential travel, connecting the world's leading travel advisors with an exclusive network of hotels, cruise lines, tour operators, and destinations to create exceptional travel experiences.

Project overview

This project focuses on building a scalable enterprise AI practice that enables business teams to effectively adopt and leverage modern AI capabilities. The AI Adoption Lead / AI Evangelist will help define and execute the organization's AI strategy, identify high-value use cases, and establish the governance, frameworks, and processes needed to drive responsible AI adoption and measurable business outcomes.

Team

You will work closely with executive leadership, business stakeholders, and technology teams to build a modern AI-powered organization while ensuring responsible, secure, and impactful adoption of emerging AI technologies.

Position overview

We are looking for a Senior AI Consultant who will act as an AI Adoption Lead embedded within a client organization. You will drive AI strategy, define roadmaps, and support the delivery of impactful AI solutions while enabling sustainable adoption. This role combines strategic advisory, technical expertise, and change leadership to accelerate AI driven transformation.

Technology stack

Python, PyTorch, TensorFlow, large language models, retrieval augmented generation, AI agents, LangChain, LangGraph, CrewAI, AutoGen, Semantic Kernel, Pinecone, Weaviate, pgvector, AWS, Azure, Google Cloud, MLflow, Kubeflow, Weights and Biases, Git, CI CD pipelines, Docker, Kubernetes, GitHub Copilot, Cursor, Claude Code, Amazon Q Developer

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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