Solution Architect, Agentic AI

This is a remote position and can be located anywhere in the United States.

Lenovo's Infrastructure Solutions Group, Advanced Infrastructure Solutions, is seeking a highly skilled AI Enterprise Architect specializing in Agentic AI enablement and data center solutions to drive the design, implementation, and optimization of AI-powered agent systems within enterprise environments. This role focuses on developing architectures that harness agentic AI technologies to enhance automation, decision-making, and self-management capabilities in large-scale data center (LVD) infrastructures. The ideal candidate will have deep expertise in AI, data center technologies, and distributed systems, with a passion for innovation and leadership in next-generation AI applications.

Key Responsibilities

• Design and implement enterprise-grade architectures for Agentic AI systems, enabling autonomous decision-making and self-optimization capabilities.

• Integrate AI-powered agents to manage, monitor, and optimize data center operations, including power efficiency, workload distribution, and fault detection.

• Develop scalable frameworks to support multi-agent systems in large-scale virtualized data center environments.

• Collaborate with field engineering teams to define requirements and deploy AI technologies that enhance infrastructure performance and resilience.

• Design AI-driven solutions for predictive maintenance, resource allocation, and real-time anomaly detection in data centers.

• Lead efforts to integrate Agentic AI capabilities with existing IT and OT (operational technology) systems.

• Implement monitoring and feedback mechanisms to evaluate the performance and impact of Agentic AI systems.

• Optimize AI workloads and agent behaviors for efficiency, scalability, and cost-effectiveness in LVD environments.

• Drive continuous improvement through iterative testing and deployment cycles.

• Contribute to whitepapers, presentations, and conferences to position Lenovo as a leader in Agentic AI for data centers.

• Stay abreast of emerging trends in AI and data center technologies to ensure cutting-edge solutions.

• Develop governance frameworks for Agentic AI systems to ensure ethical, secure, and compliant operation.

• Ensure alignment with data privacy, cybersecurity, and regulatory requirements in all AI implementations.

• Work closely with cross-functional teams, including sales, product management, and engineering, to align AI initiatives with organizational goals.

• Partner with key technology providers such as NVIDIA and independent software vendors to ensure seamless integration of their solutions.

• Act as a bridge between technical teams and business stakeholders, translating complex AI concepts into actionable business strategies.

• Conduct workshops and training sessions to educate internal teams including sales, sales engineering and field teams on the capabilities and applications of Agentic AI in data centers.

Basic Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.

• At least 8 years of experience in enterprise architecture, AI/ML, and data center technologies.

• Proven experience designing and deploying AI systems in large-scale environments, including multi-agent systems.

• Expertise in AI frameworks (e.g., TensorFlow, PyTorch) and their application in agentic systems.

• Strong knowledge of data center technologies, including virtualization, orchestration (e.g., Kubernetes), and resource management.

• Proficiency in programming languages such as Python, Java, or similar.

• Familiarity with edge AI, distributed systems, and hybrid cloud architectures.

• Experience with AI-enabled tools for data center management, such as NVIDIA Base Command, DGX Systems, or similar platforms.

Preferred Qualifications:

• Master's degree in Computer Science, Engineering, or a related field.

• Exceptional problem-solving and analytical abilities.

• Strong leadership and communication skills, with the ability to influence and drive cross-functional collaboration.

• Strategic thinking to align AI architectures with long-term business objectives.

• Certifications in AI/ML, data center technologies, or cloud platforms.

• Knowledge of MLOps frameworks for operationalizing AI in production environments.

• Experience with federated learning or decentralized AI architectures.

Why Lenovo?

At Lenovo, we are committed to creating innovative technology solutions that empower businesses and people to thrive. Join us in shaping the future of AI infrastructure, where your expertise will directly impact the success of our customers and the growth of AI technologies. If you're ready to help us build smarter solutions, we'd love to hear from you.