AI Solution Architect- Enterprise Solutions

6 days ago


Singapore Lenovo Full time

AI Solution Architect- Enterprise Solutions & Services We are Lenovo. We do what we say. We own what we do. We WOW our customers. Lenovo is a US$69 billion revenue global technology powerhouse, ranked #196 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, 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). Summary: As a Consulting Enterprise Solution Architect in the Lenovo Solutions Services Group (SSG) in Hybrid AI team, you will be a driving force behind the conception, design, and implementation of new generative AI products and solutions for AI offerings. Your expertise will translate business requirements into innovative solution designs that extend, deepen, and elevate the Lenovo AI portfolio. From inception to productization, your design expertise will bring best practices and best-of-breed tools to meet customer needs. Leading from design to delivery, youll spearhead our managed services offerings based on generative AI capabilities and emerging innovations, deploying hybrid LLMs and interactive AI on hybrid cloud infrastructure. This role is both internal and external and includes some customer-facing work. In This Role, You Will: Collaboratively design, develop and implement generative AI solutions across teams, tailored to customer needs and requirements. Architect services leveraging frameworks such as NVIDIA Nemo, OpenAI, Avatar/Digital Person, and NLP technologies, ensuring optimal performance and compatibility. Design, develop, and optimize AI workload deployment and delivery across on-premise, hybrid, and multi-cloud environments, ensuring seamless operation and data integrity. Continuously enhance architectures focusing on scalability, reliability, performance, cost-efficiency, and regulatory compliance. Develop robust frameworks, templates, and governance models to accelerate hybrid AI solution development and shorten AI product cycles. Drive automation and orchestration of managed offerings across hybrid infrastructure. Champion security, compliance, Responsible AI, and cloud best practices. Qualifications: BS/MS in Computer Science, Software Engineering, or related field. 7+ years of experience in designing AI enterprise solutions or services. 5+ years of experience architecting and delivering SaaS solutions leveraging public cloud and on-premises environments. Proficiency in Python and deep learning frameworks (TensorFlow or PyTorch). Experience with containers, Kubernetes, serverless technologies, and DevOps across hybrid clouds. Strong understanding of ML fundamentals and NLP concepts. Familiarity with deep learning architectures (CNNs, RNNs, GANs) and relevant frameworks (NVIDIA Nemo, OpenAI, etc.). Exceptional technical leadership and communication skills; passion for continuous learning. Certifications in AI/ML (e.g., TensorFlow Developer Certificate or NVIDIA Certified AI Developer). Preferred Skills: Advanced knowledge of AI/ML frameworks beyond basics (e.g., Keras, scikit-learn). Market experience in financial services, telecommunications, industrial manufacturing, energy, consumer products, high-tech, media/entertainment, or automotive. Experience across AWS, Azure, and GCP in hybrid cloud setups. Security, data privacy, and compliance knowledge; certifications such as CISSP or CISM are a plus. Ability to articulate technical issues and recommendations to customers and teams. TOGAF 9 Certification or TOGAF Business Architecture preferred. We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, religion, sexual orientation, gender identity, national origin, veteran status, disability, or any protected class. #J-18808-Ljbffr



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