Director of Artificial Intelligence

Position - Director of Artificial Intelligence (AI Technical Fellow)

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Position Overview

AI Technical Fellow

Overview

driving innovation and advancing the company’s AI capabilities across generative models, video-language understanding, and next-generation multimodal systems

Key Responsibilities

• Lead strategic development in advanced AI areas, including

  generative modeling, video-language models, and large-scale multimodal systems.

• Architect and guide the design of AI platforms that power end-to-end product ecosystems, integrating video, text, and audio understanding

  .
• Mentor and provide technical oversight to global AI teams, ensuring alignment of research innovation with business objectives.

• Collaborate with

  product, engineering, and data science leadership to operationalize cutting-edge research into production-grade AI products.
• Drive partnerships with academic and industry institutions, shaping the organization’s thought leadership in AI and emerging technologies.
• Define long-term

  AI technical vision and roadmap

  , influencing company-wide engineering decisions and strategic investments in AI infrastructure.

Required Qualifications

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related technical field.

• 12+ years of experience in AI engineering, and product development, including leadership experience in globally distributed teams.
• Proven record of building and scaling AI-powered platforms and products using generative AI and multimodal (video-language) models.

• AI/ML Expertise:

  Deep expertise in machine learning and AI algorithms, particularly

  generative AI

  (such as large language models, GANs, diffusion models) and

  multimodal

  systems that combine vision and language. The candidate should be adept at developing and applying advanced AI models to real-world applications.
• Strong expertise in

  deep learning frameworks

  such as PyTorch, TensorFlow, or JAX, with experience deploying LLMs and diffusion-based models.
• Demonstrated ability to

  bridge research and production

  , with hands-on experience in training, evaluating, and productionizing large AI systems.
• Exceptional communication and leadership skills, with the ability to influence cross-functional and senior stakeholders.

Architecture & Technical Strategy:

AI Product Development: Lead end-to-end development of AI-driven products

Platform Engineering:

Team Leadership & Mentorship:

Cross-Functional Collaboration:

Innovation:

• Governance & Best Practices:

  Establish and enforce

  best practices for AI development and deployment,

  including model governance, scalability, security, and MLOps standards. Oversee the

  responsible AI

  aspects of the platform – ensuring compliance with ethical AI guidelines and data privacy requirements – and maintain documentation and processes for high-quality, reliable AI deployments.
• Publications or patents in leading AI conferences or journals are highly desirable.

Preferred Attributes

• Experience working with

  foundation models (e.g., LLMs, VLMs

  ) and optimizing them for enterprise-scale applications.

• Multimodal AI Systems:

  Experience working with

  vision-language or video-language models

  and integrating visual data (images/videos) with NLP or other data modalities. For example, prior work on video understanding, image captioning, or similar multimodal AI applications will be a plus.
• Scalable Systems & MLOps: Hands-on experience in

  deploying AI solutions on cloud infrastructure

  with modern DevOps/MLOps practices. Familiarity with containerization (Docker/Kubernetes), CI/CD pipelines, and infrastructure-as-code for managing AI model deployment at scale is preferred. Experience optimizing models for efficiency (through techniques like model compression, distillation, etc.) in production environments is a plus.
• Track record of fostering innovation cultures within global AI research or engineering organizations.

• Responsible AI & Governance:

  Knowledge of

  responsible AI

  principles and experience implementing AI governance frameworks (bias mitigation, fairness, transparency, data privacy) in projects. Understanding of regulatory considerations for AI and experience embedding ethical best practices into AI development will be advantageous.
• Passion for transforming complex AI research into accessible, impactful technologies that redefine user experiences.

Strategic Impact of the Role

In this Technical Fellow position, the individual will play a pivotal role in shaping the company’s AI trajectory. By driving the high-level architecture and long-term strategy for AI, they ensure that the organization stays ahead of industry trends and maintains a competitive edge through innovation. The Fellow’s guidance will align AI initiatives with business goals, enabling the seamless integration of AI capabilities across products and services to unlock new opportunities and enhance existing offerings. As a senior technical leader and visionary, this person will influence company-wide AI practices – from steering important research & development decisions to cultivating an AI-driven culture – thereby empowering the organization to harness generative AI and multimodal technologies in transformative ways. The strategic impact of this role will be seen in the creation of a robust AI platform that underpins current and future products, the elevation of technical standards and innovation within the team, and the company’s reputation as a leader in applying AI to achieve business value.