NVIDIA is hiring a Solutions Architect

NVIDIA is seeking a Solutions Architect (Data Science) for their ANZ team to collaborate with Global Systems Integrator partners and AI consulting firms. This position demands technical expertise and proficiency in managing technical partnerships and enablement. The candidate will motivate partners to transform enterprise business processes using Agentic AI through the NVIDIA platform. This highly specialized role requires comprehensive knowledge of generative AI, large language models, and scalable software engineering practices, alongside exceptional project management and interpersonal skills to coordinate internal and external relationships with support from the broader ANZ NVIDIA team. As part of the Solutions Architecture team, you will engage with cutting-edge computing technologies, driving innovations in deep learning and artificial intelligence. This opportunity provides an exceptional pathway to advance your career in the rapidly expanding AI Software Development Kit landscape while empowering leading global enterprises. What you'll be doing: Become an NVIDIA AI specialist, facilitating GSI developers' adoption of NVIDIA Nemo and NIMs for their Generative AI offerings, platforms, and client services. Design intricate workflows enabling AI agents to autonomously analyze, strategize, execute tasks, access APIs, and resolve errors. Collaborate with Business Managers to develop comprehensive visions and actionable strategies for the GSI group, partnering closely with Solutions Architects, engineering, product, and business teams to construct GenAI full-stack solutions for industry and enterprise use cases. Motivate industry executives and GSI leaders by articulating the business value of state-of-the-art Generative AI. Develop and execute Proof of Concept and Demonstrations requiring sophisticated presentation skills, complex topic explanations, Python code development for data pipelines, ML/DL model training, and deployment on container-based orchestrators. Provide mentorship and support to the GSI Ecosystem, assisting partners and customers on mission-critical projects, helping them optimize GPU-enabled Accelerated Compute datacenters. Coordinate with APAC Regional and HQ Engineering, Product, and Sales teams to design optimal partner solutions, enabling product feature development through customer feedback and proof-of-concept evaluations. Conduct NVIDIA Deep Learning Institute and Skills Transfer sessions with GSIs, Customers, OEMs, and partners regarding NVIDIA and other hardware and software solutions. What we need to see: Professional, extensive experience as a Data Scientist (focused on AI/DL/ML) developing/supporting customer-facing projects in computer vision, Conversional AI, or data analytics, especially in RAG and Agentic AI workflows. BS, MS, or PhD in Computer Science, Electrical/Computer Engineering, Physics, Mathematics, or related fields (or equivalent experience) Robust customer-facing, presales/consulting, and technical expertise with AI/ML/Big Data frameworks. 5+ years of professional experience in deep learning, data science, or software development with GPU parallel computing knowledge. Strong strategic engagement and stakeholder coordination skills across customer, internal, and external domains. Exceptional written and oral communication abilities, capable of collaborating with management and engineering teams, and sharing knowledge effectively. Self-motivated individual with growth mindset, passion for continuous learning, and enthusiasm for knowledge sharing. Capable of remote work, strategic planning, and collaborative teamwork with growth-oriented attitude. Ways to stand out from the crowd: Experience leading technical teams with partners/customers or consulting/advisory roles in AI space. AI/Data Science project management expertise, coordinating stakeholders and resources. Proficient developer experience with NVIDIA SDK platform, Nemo, NIM, ML/DL frameworks, and MLOps ecosystem. Experience in cloud solution design, APIs, microservices, orchestration platforms, storage solutions, and data migration techniques. Willingness to explore unfamiliar territories, solve complex problems, and demonstrate exceptional listening skills. NVIDIA is renowned as one of technology's most desirable employers, hosting forward-thinking, hardworking professionals. We seek creative, autonomous individuals. NVIDIA is dedicated to fostering diversity and is a proud equal opportunity employer. We value diversity in our workforce and do not discriminate based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally protected characteristic.