AI Director / VP of AI

Riyadh, Riyadh Province, Saudi Arabia

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Not SpecifiedCompensation

Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

SaaS, Customer Experience, Content Analysis, Artificial IntelligenceIndustries

Requirements

A Bachelor's degree in Computer Science, Machine Learning, Data Science, or a related field is required, with a Master's or PhD focusing on AI being a strong plus. Candidates must have over 10 years of software engineering experience, including at least 5 years in senior leadership roles focused on AI/ML. Proven success in delivering AI/ML products at scale, preferably in SaaS or enterprise settings, is essential. Hands-on expertise in both classical machine learning and Generative AI, including LLMs and RAG, is necessary, along with strong programming skills in Python, Java, or R and proficiency in ML frameworks like TensorFlow, PyTorch, and Scikit-learn. A deep understanding of the ML/AI lifecycle, including pipelines, model training, evaluation, and deployment, is required. The role demands proven ability to manage agile, cross-functional teams with a strong operational and delivery mindset, strategic thinking aligned with business goals, excellent communication skills for both technical and non-technical audiences, and a passion for mentoring talent. Familiarity with modern cloud platforms, data infrastructure, MLOps, and DevOps practices relevant to AI is also expected.

Responsibilities

The VP of Engineering - AI will define and drive the technical strategy for AI, aligning with business and product objectives. They will lead research and innovation in classical machine learning and Generative AI, translating cutting-edge research into scalable, production-grade features and platform capabilities. Responsibilities include building, scaling, and mentoring high-performing teams of engineers, data scientists, and AI researchers, while fostering a culture of collaboration and continuous improvement. The role involves overseeing the development, deployment, and integration of AI models into Lucidya's SaaS products, partnering with Product and Platform Engineering teams to prioritize and deliver AI-driven features, and ensuring the scalability and reliability of AI infrastructure. Establishing and enforcing best practices in software development, MLOps, data governance, and responsible AI is crucial. The VP will track and report on key technical and business KPIs, communicate technical progress to executive leadership, manage team resources, hiring, and budgeting, and monitor industry trends to assess emerging AI technologies for adoption.

Skills

Machine Learning

Big Data

Generative AI

LLMs

RAG

Fine-tuning

AI Infrastructure

SaaS

Data Science

Technical Strategy

Product Development

Scalability

Reliability

Lucid

Visual collaboration tools for teams

About Lucid

Lucid provides tools for visual collaboration, helping teams brainstorm, diagram, and visualize complex ideas and software. Its main products include Lucidchart, which allows for intelligent diagramming, Lucidspark for virtual brainstorming sessions, and Cloud Insights for visualizing software architecture. These tools are especially beneficial for remote teams, enabling them to collaborate effectively as if they were in the same room. Lucid serves a wide range of clients, including nearly all Fortune 500 companies, and operates on a subscription-based model with various pricing tiers to meet different organizational needs. The company's goal is to simplify complexity, providing teams with the clarity and context necessary to work efficiently.

South Jordan, UtahHeadquarters

2010Year Founded

$161.6MTotal Funding

SERIES_DCompany Stage

Data & Analytics, Enterprise SoftwareIndustries

1,001-5,000Employees