Lenovo

Job Description: Consulting AI Strategic Architect

Lenovo is seeking a Consulting AI Strategic Architect to shape corporate AI strategies, design next-generation Personal AI and Enterprise AI architectures, and lead the implementation of transformative AI solutions. This role includes steering advanced AI/ML initiatives, guiding the development of Large Pre-trained Models (BLP), and building strategic alliances with industry and academia to strengthen Lenovo’s AI leadership.

Roles and Responsibilities

AI Strategy and Development

• Design and architect cutting-edge personal AI and enterprise AI architectures, ensuring scalability and real-world impact.
• Design and evaluate advanced AI systems, including agentic AI frameworks for decision-making and automation.
• Identify strategic AI opportunities aligned with Lenovo’s long-term business goals.

Technology Leadership

• Stay ahead of emerging AI technologies and guide their adoption within Lenovo’s ecosystem, including large language models (LLMs), agent framework, and federated inferencing.
• Provide technical leadership on evaluating and integrating innovative AI frameworks, tools, and platforms.

Collaboration and Communication

• Partner with technical leaders, project managers, and business units to align AI architectures with organizational goals.
• Effectively communicate AI strategies and designs to diverse audiences, including executives, technical teams, and non-technical stakeholders.

Ecosystem and Academic Alliances

• Forge partnerships with leading universities and research institutions to drive innovation in advanced AI research and future technologies.
• Collaborate with academic partners on initiatives such as co-developing AI frameworks, conducting research projects, and supporting talent development.
• Leverage external AI ecosystems, including open-source communities and industry partnerships, to integrate third-party tools and solutions.

Qualifications

Education and Experience

• Advanced degree (Master’s or PhD preferred) in Computer Science, Artificial Intelligence, Machine Learning, or a related field.
• Strong track record of designing and deploying scalable AI/ML architectures.
• Experience collaborating with academic institutions on research and technology development.

Technical Expertise

• Proficient in modern AI/ML tools and frameworks (e.g., TensorFlow, PyTorch, Hugging Face).
• Expertise in agent-based AI technologies, large model fine-tuning, and deployment.
• Familiarity with cloud-based AI platforms and distributed systems.

Strategic Vision and Leadership

• Strong strategic mindset to align AI solutions with business goals and emerging trends.
• Proven ability to lead cross-functional teams and manage complex, multi-stakeholder projects.