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
• Establish organizational AI & Automation best practices and guidelines
• Ensure quality, security, and regulatory compliance in all AI initiatives
• Implement responsible AI principles throughout the development lifecycle

Qualifications

• 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
• Proven track record of leading and motivating technical teams
• Ability to foster collaboration across departments
• Demonstrated success delivering results in complex environments
• Excellent ability to translate technical concepts for non-technical stakeholders
• Strong executive communication capabilities
• Effective advocacy skills for AI initiatives and resource allocation
• 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
• 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

Skills

• Strategic AI leadership
• AI architecture and deployment
• Model selection, optimization, and evaluation
• Responsible AI and regulatory compliance
• Team leadership and talent development
• Cross-functional collaboration
• Communication of technical concepts to executives
• Budget and project management