AI Project Leader & Business Developer (Santiago de Chile)

EURECAT

Eurecat is the second Research & Technology Organisation in Spain and one of the largest applied research and technology transfer organisation in Southern

Europe. It brings together the experience of more than 800 professionals who generate an annual turnover of 69 million euros and provides services to more than 2000 companies. Eurecat integrates advanced digital capabilities and experience in biotechnology industry and sustainability and collaborates with industry in RDI activities and projects offering advanced scientific and technological services and specialized knowledge to respond effectively to the technological needs of very different business sectors accelerating innovation reducing both risks and spendings on scientific and technological infrastructures. The technology center participates in more than 200 large national and international consortium projects of high strategic R&I has 230 patents and 10 spin-offs. Eurecat has eleven centers in Catalonia and presence in Madrid Malaga and Chile.

Job description

Are you ready to lead market expansion and drive impactful Artificial Intelligence projects in productive sectors across Chile

The Applied Artificial Intelligence Unit at Eurecat is seeking a hybrid profile combining business development acumen and technical expertise to help us establish and grow our presence in Chile. This role bridges client engagement institutional representation and AI project leadership acting as a strategic connector between Chile and Europe. The goal is to identify new opportunities co-develop solutions with local stakeholders and support the gradual formation of a local team as opportunities consolidate.

Join us as we help transform the economy and build a smarter sustainable future.

RESPONSABILITIES:

As a key figure in our international deployment strategy your role will include:

• Representing Eurecat in Chile promoting the adoption of AI technologies in key industry events technology forums institutional platforms and innovation ecosystems.
• Market development and opportunity scouting identifying needs and use cases for applied AI solutions in productive sectors (e.g. manufacturing energy logistics agriculture).
• Building strategic relationships with companies public bodies innovation clusters and technology stakeholders.
• Designing and preparing proposals (both technical and commercial) aligned with Eurecats capacities and technological offerings.
• Leading AI projects locally acting as the main point of contact in Chile and ensuring effective coordination with technical teams based in Europe.

Supporting the growth of a local team facilitating its development based on validated business opportunities.

WHAT EURECAT CAN OFFER YOU

• A leading role in an international expansion project with high visibility and strategic relevance.
• Stable contract with clear personal and professional growth opportunities.
• Engagement in high-impact projects bringing AI to productive sectors.
• Integration in a top-tier innovation network focused on applied research and tech transfer.
• Access to continuous training technological events and internal development programs.

Eurecat Latam Proyectos de innovación e ID punteros

Requirements

PROFILE REQUIREMENTS:

• Proven experience in technology business development consulting or tech transfer especially in complex or innovation-driven environments.
• Solid understanding of applied AI (e.g. ML LLMs computer vision predictive modeling time series analytics agentic AI etc.) and the ability to identify real-world application potential.
• Academic background in technical or business fields with exposure to AI data science or digital innovation.
• Strong interpersonal and communication skills able to engage both technical and business stakeholders.
• High degree of autonomy and initiative with an entrepreneurial mindset and goal-oriented attitude.
• Outstanding networking and communication abilities comfortable navigating both formal and informal environments.
• Fluent in Spanish and English. Familiarity with Latin American business culture is a plus.
• Willingness to travel occasionally within Chile and/or Europe.
• Collaborative mindset with the ability to act as a cultural and operational bridge between international teams.

EDUCATIONAL BACKGROUND:

Minimum Required Education:

• A Bachelors degree in one of the following areas: Computer Science Computer Engineering Electronic or Industrial Engineering Mathematics Physics or Statistics Information Technology or Data Science Business Administration with a specialization or experience in technology and innovation

Highly Valued Complementary Education:

• Masters degree or postgraduate studies in: Artificial Intelligence Machine Learning or Deep Learning Data Science or Big Data Analytics
• Specialized training in: Generative AI / Large Language Models (LLMs) Predictive Modeling and Forecasting Time Series Analytics AI Development Platforms and technological stacks (e.g. TensorFlow PyTorch)

The combination of tech & business skills is essential were looking for someone who can translate complex AI technologies into real world value propositions for industry clients.

Languages:

Spanish: Full professional proficiency (native or near-native)

English: Full professional proficiency especially in technical and business contexts

EXPERIENCE:

Core Experience (must have):

1. Technology Business Development:
   1. Proven experience identifying generating and managing technology driven opportunities especially in B2B or public-private settings.
   2. Experience working with or selling applied AI or data-driven solutions (even if not deeply technical).
   3. Track record of interfacing with clients understanding business needs and shaping them into solution proposals or projects.
   4. Familiarity with Latam business culture and public-private innovation ecosystems (e.g. CORFO regional clusters sectorial innovation platforms) is a strong plus.
2. AI/ML Application Experience
   1. Experience contributing to or leading AI/data science projects in real-world applications: Applied machine learning NLP Predictive maintenance optimization forecasting etc.
   2. Experience does not have to be in coding/development per se but must reflect understanding of the AI lifecycle (problem framing data modeling evaluation deployment) and ability to evaluate AI feasibility and communicate AI value to clients.
3. Project and Stakeholder Management
   1. -Experience acting as a project manager or technical coordinator ideally for R&D or consulting projects.
   2. Ability to manage international multidisciplinary teams possibly distributed across time zones.
   3. Exposure to European frameworks (e.g. Horizon Europe Digital Europe EITs) or collaboration with European institutions is a big asset.