Director AI Engineering

Role Summary

The Director of AI Engineering will lead our organization's artificial intelligence initiatives with a focus on applying cutting-edge AI and machine learning technologies to solve complex problems in the pharmaceutical industry. This strategic leadership position requires a visionary who can drive AI adoption, oversee capability development, and ensure successful integration of AI solutions across the organization.

Responsibilities

• Develop and execute a comprehensive AI roadmap aligned with business goals
• Identify key AI capabilities and prioritize projects based on business impact
• Collaborate with executives to translate business needs into actionable AI strategies
• Stay abreast of emerging AI technologies and trends, evaluating potential organizational impact
• Make strategic decisions on building versus acquiring AI capabilities to meet current and future business needs
• Oversee architecture and design for scalable AI systems and deployment frameworks
• Provide technical guidance on AI model selection, optimization, and evaluation methodologies
• Ensure quality standards, best practices, and ethical considerations are integrated into AI development
• Guide AI development, model building, training, and implementation processes
• Lead and collaborate with a high-performing team of AI engineers, data scientists, and ML engineers
• Foster a culture of innovation and continuous learning
• Develop specialized AI talent within the organization
• Delegate tasks effectively, manage project timelines, and monitor team performance
• Oversee the full AI lifecycle from data collection to model deployment and monitoring
• Collaborate with cross-functional teams to integrate AI solutions into existing systems
• Manage project budgets, resource allocation, and delivery timelines
• Ensure timely and successful implementation of AI initiatives

Qualifications

• Minimum of a Master's or Ph.D. degree in Computer Science, Artificial Intelligence, or related field with strong focus on machine learning
• 15+ years of industry experience in AI development and implementation
• Experience leading large-scale AI projects, preferably in pharmaceutical or healthcare sectors
• Deep understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Agent Frameworks, and Prompt Engineering
• Proficiency with Cloud AI Platforms and AI algorithms
• Expert knowledge of machine learning techniques including deep learning, natural language processing, and computer vision
• Proven experience leading AI and Intelligent Automation initiatives with demonstrable success stories
• Strong track record managing high-performance teams of AI engineers
• Familiarity with Responsible AI Principles and commitment to ethical AI solution delivery
• Leadership abilities and proven track record of leading and motivating technical teams
• Ability to foster collaboration across departments and translate technical concepts for non-technical stakeholders
• Strong executive communication capabilities and advocacy skills for AI initiatives
• Strong understanding of business drivers in the pharmaceutical industry
• Ability to align AI solutions with strategic organizational goals
• Experience translating business problems into technical solutions

Skills

• AI strategy and roadmap development
• AI architecture and deployment frameworks
• Model selection, optimization, evaluation methodologies
• Ethical AI and Responsible AI practices
• Team leadership and talent development
• Cross-functional collaboration and communication
• Project management and budgeting
• Data lifecycle, model deployment, monitoring
• Cloud platforms and AI toolchains
• Natural language processing, deep learning, computer vision

Education

• Master's or Ph.D. in Computer Science, Artificial Intelligence, or related field

Additional Requirements

• On-site expectations may apply depending on location