Senior Director of AI Engineering
hace 3 días
About Monks
Monks is a global, purely digital company that combines innovative marketing and technology services to accelerate business possibilities. We're committed to delivering top-notch results through our unique blend of expertise and systems.
A Great Opportunity
We're seeking a seasoned Senior Director or Executive Technical Leader to join our team in LATAM. As the first of your kind in the region, you'll have the chance to shape the future of our AI journey, training the next generation of engineers and driving scalable GenAI delivery in partnership with our North American (NAMER) AI team.
Your Key Responsibilities:
- Technical Leadership: Define the technical direction for the LATAM region, establishing best practices, training and onboarding talent, and staffing and leading cutting-edge GenAI projects.
- Scalable Solutions: Drive technical vision and roadmap for GenAI services in LATAM, ensuring a culture of continuous learning, engineering excellence, and responsible AI.
- Project Delivery: Lead GenAI projects from client pitch to architecture, implementation, and deployment, overseeing projects that span frontend, backend, infrastructure, data pipelines, and AI components.
- Talent Development: Develop talent pathways and create a pipeline of GenAI leaders in the region, conducting regular workshops, code reviews, and innovation labs.
Required Qualifications:
- 10+ years in software engineering, including recent roles in Director-level or higher leadership.
- 2+ years building or shipping production-grade GenAI solutions (text/image/video or multimodal).
- Deep technical knowledge of multiple stacks: Backend (Node.js, Python, Go, etc.), Frontend (React, WebGL, etc.), Cloud & Infrastructure (AWS preferred), DevOps & CI/CD (Docker, GitHub Actions, Terraform, etc.).
- Hands-on experience with at least one GenAI model pipeline: LLMs (OpenAI, Claude, Mistral, etc.), Diffusion Models (Stable Diffusion, SDXL, RunwayML, etc.), RAG, Fine-Tuning, Prompt Engineering, Multi-modal AI.
- Degree in Computer Science, Engineering, or equivalent hands-on experience.
- Excellent spoken and written English.
- Strong communication and mentoring capabilities.
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