Director AI Engineering

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.

As a Director of AI Engineering, a typical day might include the following:

Strategic Leadership

• 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

Technical Oversight

• 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

Team Management

• 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

Project Execution

• 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

AI Best Practices & Guidelines

• 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

This role might be for you if you possess:

AI Expertise

• 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

• Proven track record of leading and motivating technical teams

• Ability to foster collaboration across departments

• Demonstrated success delivering results in complex environments

Communication Skills

• Excellent ability to translate technical concepts for non-technical stakeholders

• Strong executive communication capabilities

• Effective advocacy skills for AI initiatives and resource allocation

Business Acumen

• 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

To be considered for this opportunity you must have a 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.