Lenovo is a US$57 billion revenue global technology powerhouse, ranked #248 in the Fortune Global 500, and serving millions of customers every day in 180 markets. Focused on a bold vision to deliver Smarter Technology for All, Lenovo has built on its success as the world’s largest PC company with a full-stack portfolio of AI-enabled, AI-ready, and AI-optimized devices (PCs, workstations, smartphones, tablets), infrastructure (server, storage, edge, high performance computing and software defined infrastructure), software, solutions, and services. Lenovo’s continued investment in world-changing innovation is building a more equitable, trustworthy, and smarter future for everyone, everywhere. Lenovo is listed on the Hong Kong stock exchange under Lenovo Group Limited (HKSE: 992) (ADR: LNVGY).
This transformation together with Lenovo’s world-changing innovation is building a more inclusive, trustworthy, and smarter future for everyone, everywhere. To find out more visit www.lenovo.com, and read about the latest news via our StoryHub. Description and Requirements
Lenovo's Infrastructure Solutions Group (ISG) provides end-to-end IT solutions and services for organizations at any scale. We empower our customers to dramatically accelerate their organizations, improve their industries, and solve humanity’s greatest challenges. A trusted partner every step of the way, we provide reliable infrastructure and support with Smarter Infrastructure Solutions, AI, Cloud Computing, As-A-Service, Edge Computing, and more.
Overview:
We are seeking a highly skilled and motivated BDM AI Technical Specialist to join our AI Partnerships Team at Lenovo and NVIDIA. The successful candidate will play a crucial role in driving global partnerships to support our cutting-edge AI products. Through our open approach, we have been investing in the future of AI in collaboration with experts across the field on projects such as PyTorch, AI supercomputers, AI infrastructure, AI for accessibility, Llama 2 and more. As a BDM AI Technical Specialist, you will be responsible for driving partnerships from term sheet negotiations through product launches, managing relationships, and growing, measuring, and optimizing partnership success. We are looking for a leader who will be passionate about AI and enjoy working with product teams and multiple partners. It is essential that you are comfortable navigating cross-functional teams to achieve your goals.
Key Responsibilities:
AI Production Deployment:
· Lead end-to-end transitions of AI PoCs into production environments, managing the entire process from testing to final deployment.
· Defining, negotiating, and closing high-impact partnerships for LENOVO's AI products
· Managing relationships with partners, identifying new opportunities, and growing partnership success
· Working closely with product and engineering teams to define priorities and identify key opportunities
· Managing external and internal cross-functional teams when integrating products or technologies with external partners
· Conducting market research and analysis to identify trends and opportunities in the AI industry
· Working cross-functionally with legal, marketing, finance, product, and engineering teams to negotiate deal terms, drive special projects, advocate internally for partners, and educate on industry trends
· Providing regular reports and updates on partnership activity and performance
Technical Expertise:
Serve as the primary technical lead for the AI POC deployment in enterprise environments, focusing on AI solutions powered by Nvidia GPUs.Knowledge to work with Nvidia AI Enterprise and GPU-accelerated workloads, ensuring efficient deployment and model performance using frameworks such as PyTorch and TensorFlow.Lead technical optimizations aimed at resource efficiency, ensuring that models are deployed effectively within the customer’s infrastructure.Ensure the readiness of customer environments to handle, maintain, and scale AI solutions post-deployment.Project Management:
Assume complete ownership of AI project deployments, overseeing all phases from planning to final deployment, ensuring that timelines and deliverables are met.Collaborate with stakeholders, including cross-functional teams (e.g., Lenovo AI BDMS, solution architects), customers, and internal resources to coordinate deployments and deliver results on schedule.Implement risk management strategies and develop contingency plans to mitigate potential issues such as hardware failures, network bottlenecks, and software incompatibilities.Maintain ongoing, transparent communication with all relevant stakeholders, providing updates on project status and addressing any issues or changes in scope.Knowledge Transfer and Documentation:
Knowledge transfer is the process of sharing skills, information, experience, or ideas between individuals or departments within a businessConduct post-deployment knowledge transfer sessions to educate client teams on managing AI infrastructure, troubleshooting common issues, and optimizing AI models.Provide comprehensive training sessions on the operation, management, and scaling of AI systems, ensuring that internal and external customers are fully prepared for ongoing operations post-handoff.Qualifications:
Educational Background:
· Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience in AI infrastructure deployment.
Experience:
· 5+ years of work experience including in business development, strategy or related fields
· Experience leading cross-functional teams to orchestrate and complete deals, including experience interpreting legal documents and working with attorneys to complete agreements
· Experience in working closely with product and engineering teams
· Experience in developing and driving business strategies and initiatives with stakeholders
· Experience developing working relationships inside and outside an immediate team or partner organization
· Base level knowledge of the AI ecosystem including the technology, what large and small companies are doing, industry alliances, and broader government and regulatory positions
Demonstrated success in leading and managing complex AI infrastructure projects, including PoC transitions to production at scale.Certifications (Not all Reqiured):
PMP certification or equivalent project management certification.Certifications in Nvidia AI Enterprise, VMware, cloud integration, Lenovo server platforms, machine learning, or data analytics are highly desirable.NVIDIA Certified Solutions Architect or related certification is advantageous.Key Attributes:
Adaptability: Ability to quickly understand and integrate into new organizational environments and infrastructure.Problem-Solving Mindset: Strong skills in identifying and resolving technical issues, and in developing innovative solutions to meet project goals.Communication Skills: Excellent communication skills, with experience engaging both technical and non-technical stakeholders to ensure alignment and understanding.Attention to Detail: Ability to create comprehensive and precise documentation and training materials that ensure smooth knowledge transfer and long-term customer success.---
Travel Requirements:
This role requires the ability and willingness to travel up to 50% of the time to collaborate with clients on-site during PoC testing, system deployment, and production rollouts.
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Impact:
In this role, you will have the opportunity to:Lead the deployment of AI solutions, playing a key role in accelerating AI innovation and driving AI adoption across a wide range of industries.Build a diverse and impressive portfolio of successful AI deployments in enterprise environments.Shape the future of enterprise AI adoption through your contributions to hands-on implementations and strategic guidance for customers and internal teams.KPIs:
Complete Lenovo AI training and Nvidia Generative AI software certification. Work on 10 new AI opportunities per year. Additional Locations: * Brazil - São Paulo - São Paulo * Brazil - São Paulo - Sao Paulo * Brazil * Brazil - São Paulo * Brazil - São Paulo - São Paulo , * Brazil - São Paulo - Sao Paulo