• Conduct weekly face-to-face training sessions for NVIDIA’s customers and partners, with travel up to 80% as needed • Partner with NVIDIA’s sales, partner, product, and technical marketing teams to ensure partner sellers can confidently position, recommend and implement NVIDIA AI solutions • Develop and refine sales training materials focused on NVIDIA AI and data center technologies and sales motions • Collaborate with SMEs to design courses aligned with company strategy • Listen actively to partner feedback during workshops, translating insights into actionable improvements for future sessions • Recruit and train internal team members to deliver specific workshop modules • Create delivery notes, certification criteria, and assessment materials that ensure consistent quality across sessions

• Complete extensive training on AI/ML, LLMs, Red Teaming, and jailbreaking, as well as specific project guidelines and requirements • Craft clever and sneaky prompts to attempt to bypass the filters and guardrails on LLMs, targeting specific vulnerabilities defined by our clients • Collaborating closely with language specialists, team leads, and QA leads to produce the best possible work • Assist our data scientists to conduct automated model attacks • Adapt to the dynamic needs of different projects and clients, navigating shifting guidelines and requirements • Keep up with the evolving capabilities and vulnerabilities of LLMs and help your team’s methods evolve with them • Hit productivity targets, including for number of prompts written and average handling time per prompt

• Gather client requirements, design optimized solutions • Deploy a new solution or augment an existing HPC/AI solution from the ground up • Consult on and assist with day-to-day management of clients’ research compute infrastructure environments • Maintain HPC/AI infrastructure in Linux-based environments for new and existing clients • Lead technical discussions and be the face to the client in preparation for and during engagements • Validate solution designs, meet client requirements, and ensure they are technically feasible and deployable • Ensure solutions are simple and easy to understand while taking into account the client’s overall capabilities / skills • Scope out and detail professional services deliverables setting clear client expectations • Build documentation and provide knowledge transfer required for clients to support their environments • Display expertise in storage, networking, data protection, digital archiving, and other infrastructure technologies. • Gain advanced expertise of and certifications from the vendors Cambridge uses in our solution stack.

• Design and develop AI governance and AIMS frameworks, including AI Governance standards and playbooks, aligned with organizational values and global norms. • Contribute to the design and implementation of AI Governance related tools. • Ensure PIAs, impact and risk assessments are timely and shared with Leadership to enable effective risk mitigation (e.g., EU AI ACT Risk Assessment, Data Protection Impact Assessment completion). • Maintaining classification and risk registers for AI use cases. • Contribute to the KPIs and adoption metrics, for the AI Governance standards across Nebius, unlocking innovation and business value through leveraging data and AI. • Gather, analyze and manage requirements, coming from various stakeholders (e.g., Cybersecurity, Privacy, Legal and respective Business Units).