🤖 We’re Hiring: AI Research Director / Artificial Intelligence Research Director / AI Engineering Director
🕒 Employment Type: Full-Time
💼 Level: Executive / Senior Leadership
We are looking for an innovative, strategic, and highly experienced artificial intelligence professional to join our leadership team! The ideal candidate will have extensive expertise in AI research, machine learning, deep learning, and advanced engineering technologies, with the ability to lead research initiatives, oversee AI development projects, and drive the implementation of intelligent technology solutions. You will work closely with executive leadership, research scientists, AI engineers, software development teams, and business stakeholders to establish AI strategies, develop advanced machine learning systems, accelerate technological innovation, and deliver scalable AI solutions that support business growth and long-term digital transformation.
🎯 Key Responsibilities
• Develop and lead the company's AI research strategy, engineering roadmap, and long-term artificial intelligence initiatives.
• Oversee research and development activities in machine learning, deep learning, natural language processing, computer vision, and generative AI.
• Lead the design, development, testing, and deployment of advanced AI models, algorithms, and intelligent systems.
• Manage AI research teams, machine learning engineers, data scientists, and software engineering professionals.
• Establish research priorities, technical objectives, innovation frameworks, and performance benchmarks for AI projects.
• Drive the development of large language models (LLMs), predictive analytics systems, neural networks, and intelligent automation solutions.
• Evaluate emerging AI technologies, research methodologies, and engineering frameworks to identify new business opportunities.
• Oversee AI model training, fine-tuning, validation, optimization, and production deployment.
• Ensure AI systems are scalable, reliable, secure, and aligned with business and technical requirements.
• Collaborate with product, engineering, and business teams to translate complex business challenges into practical AI solutions.
• Establish best practices for AI model evaluation, data management, algorithm development, and system architecture.
• Monitor AI system performance, model accuracy, computational efficiency, and operational effectiveness.
• Oversee AI infrastructure, cloud computing resources, GPU utilization, and machine learning development environments.
• Promote responsible AI development, data privacy, algorithmic transparency, and ethical AI governance.
• Manage research budgets, engineering resources, project timelines, and technology investments.
• Build strategic partnerships with universities, research institutions, technology providers, and industry organizations.
• Present research findings, technical strategies, innovation progress, and AI investment recommendations to executive leadership.
• Drive continuous innovation and maintain the company's competitive advantage through advanced AI research and engineering.
✅ Requirements
• Extensive experience in artificial intelligence, machine learning, AI research, software engineering, or advanced technology leadership.
• Strong expertise in machine learning, deep learning, neural networks, and AI model development.
• Advanced knowledge of Python, PyTorch, TensorFlow, or other machine learning frameworks.
• Experience with large language models (LLMs), generative AI, natural language processing, or computer vision is highly desirable.
• Strong understanding of algorithms, statistical modeling, data structures, optimization techniques, and computational methods.
• Experience designing, developing, training, fine-tuning, and deploying AI models in production environments.
• Knowledge of MLOps, model monitoring, automated pipelines, distributed computing, and cloud-based AI infrastructure.
• Familiarity with AWS, Microsoft Azure, Google Cloud, GPU computing, and high-performance computing environments is an advantage.
• Proven ability to lead multidisciplinary AI research and engineering teams.
• Strong strategic thinking, technical decision-making, research management, and problem-solving capabilities.
• Excellent communication and presentation skills, with the ability to explain complex AI concepts to technical and non-technical stakeholders.
• Understanding of AI ethics, data governance, cybersecurity, and responsible AI development practices.
• A master's or PhD degree in Artificial Intelligence, Computer Science, Machine Learning, Data Science, Computer Engineering, or a related field is preferred.
• Previous experience leading large-scale AI research programs, developing innovative AI products, or managing enterprise AI engineering initiatives is highly desirable.
• Published research papers, patents, or contributions to recognized AI projects and open-source communities are an advantage.
🌟 What We Offer
• Opportunity to lead advanced AI research, engineering innovation, and enterprise artificial intelligence strategies.
• Exposure to cutting-edge technologies in generative AI, machine learning, deep learning, and intelligent automation.
• A collaborative and innovation-driven working environment.
• Opportunities to influence AI product development, research direction, and long-term technology strategy.
• Career progression into Chief AI Officer (CAIO), VP of Artificial Intelligence, Chief Technology Officer (CTO), Head of AI Research, or Chief Innovation Officer roles.
• Access to advanced AI technologies, research resources, and professional development opportunities.
• Competitive executive compensation and comprehensive benefits package.
• The opportunity to shape the future of artificial intelligence through innovative research, advanced engineering, and transformative technology solutions.
