AI Engineering Lead

The Opportunity: The AI Solutions Engineering Delivery Lead will oversee multiple multidisciplinary teams consisting of data scientists, software engineers, front-end developers, and other specialists in the design, development, deployment, monitoring, and maintenance of full-stack AI solutions. As a senior technical leader, you will leverage deep technical specialization, strategic vision, comprehensive business acumen, and exceptional stakeholder communication skills to deliver impactful AI-driven solutions. This is a "hand-on" overseeing one or more AI solution work streams, driving continuous adaptation to emerging technologies, ensuring rigorous quality standards, and fostering a culture of continuous improvement and innovation. Responsibilities: - Provide strategic and technical leadership across multiple AI solution delivery teams - Architect and oversee the delivery of comprehensive AI solutions, emphasizing full-stack development, including integration of Large Language Models (LLMs) and orchestrated applications - Manage and own the full lifecycle of AI models and solutions, from development through deployment, monitoring, maintenance, and iterative enhancement - Direct experiment-driven development, ensuring rapid prototyping, testing, validation, and operational excellence - Establish and drive consistent quality control and continuous improvement of AI solutions, closely collaborating with business stakeholders to align solutions with strategic objectives - Develop and maintain robust stakeholder relationships, clearly communicating complex solutions and strategic implications to senior business leaders - Promote technical innovation, process improvement, and effective methodologies across teams - Continuously evaluate and drive adoption of emerging technologies to enhance solution capabilities and maintain competitive advantage What You Must Have: - Bachelor's Degree in Computer Science, Data Science, Engineering, Mathematics, or related technical field - Minimum of 10 years of experience, including substantial experience in a senior technical leadership role managing multiple multidisciplinary teams What Sets You Apart: - An advanced degree is preferred - Proven track record of hands-on experience in architecting, delivering, and managing AI and machine learning solutions, particularly with orchestrated LLM applications - Proven specialization in Python, Pandas, Scikit-learn, PyTorch, Langchain, Semantic Kernel, SQL, vector DBs, LLMs, and prompt engineering - Proven specialization with major cloud platforms such as AWS, Azure, or Google Cloud Platform, with cloud foundational certifications highly desirable - Extensive experience with Agile methodologies, continuous integration/continuous deployment (CI/CD), Git version control, and rigorous testing frameworks (unit, integration, end-to-end) - Extensive experience translating complex technical solutions into strategic business outcomes - Prior experience leveraging executive-level communication skills, capable of effectively articulating technical and strategic concepts to multiple stakeholders while navigating ambiguity - Proven track record of leading strategy, emphasizing analytical, decision-making, and problem-solving capabilities - Proven ability to navigate complexity and ambiguity, providing clear direction and maintaining composure under pressure