Alliance Presales Lead Associate Director - NVIDIA EMEIA in Liverpool

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The opportunity

At EY, we are committed to helping clients unlock the transformative potential of artificial intelligence, accelerated computing and emerging technologies.

We are seeking an experienced NVIDIA Presales Lead Associate Director to join our Alliance & Ecosystem team, based in Europe, with responsibility across Europe, the Middle East, India and Africa (EMEIA).

The EMEIA NVIDIA Presales Lead Associate Director will serve as the technical leader for the NVIDIA alliance, playing a pivotal role in translating NVIDIA’s technology capabilities into innovative, commercially viable solutions that deliver measurable business outcomes for EY’s clients.

The Associate Director will play a critical role in advancing the Global NVIDIA alliance strategy into regional and country priorities, ensuring a cohesive and impactful approach to technical enablement, solution development and client engagement.

Working closely with EY’s NVIDIA Alliance leadership, account teams, technology consulting practices and NVIDIA’s technical and commercial teams, the Associate Director will accelerate the adoption of NVIDIA’s full technology stack, from AI applications and agentic workflows to AI factories and accelerated infrastructure.

This is an opportunity to shape how EY brings NVIDIA technologies to market, combining deep enterprise architecture expertise with emerging AI capabilities to address complex business challenges across industries.

Your Key Responsibilities

Your role will sit within the Alliance & Ecosystem team, serving as the technical lead for NVIDIA across EMEIA.

You will be responsible for two core areas: promoting and enabling adoption of the NVIDIA technology stack and leading technical solution development throughout the pre‑sales lifecycle.

• Act as EY’s senior technical advisor for the NVIDIA alliance across EMEIA, helping clients and internal teams understand the business value and practical applications of NVIDIA technologies.
• Promote the adoption of NVIDIA’s full‑stack capabilities, including accelerated computing, AI software, agentic AI, physical AI, digital twins and AI factories.
• Empower, mentor and enable EY account teams, solution architects, technology consultants and client stakeholders through technical workshops, demonstrations and knowledge‑sharing initiatives.
• Develop engaging technical and business‑oriented resources, including presentations, reference architectures, blogs, interactive notebooks and solution playbooks that connect NVIDIA technologies to real‑world business and industry challenges.
• Demonstrate the capabilities of NVIDIA’s AI software and hardware platforms through practical use cases and industry‑specific solutions.
• Lead technical discovery and architecture discussions with clients and EY account teams, translating complex business requirements into scalable, secure and commercially viable NVIDIA‑based solutions.
• Collaborate with our Specialized NVIDIA engineering team to help them build many of the POCs.
• Design end‑to‑end enterprise AI architectures spanning applications, AI models, orchestration, compute, storage, networking, virtualization, hybrid cloud and AI factory infrastructure.
• Develop reference architectures integrating NVIDIA technologies, including NIM, Nemotron, Dynamo, Ne Mo, AI‑Q, CUDA‑X libraries, Open Shell and Nemo Claw, where appropriate to client requirements.
• Lead technical discovery for agentic AI applications, including understanding application architecture, agent topology, model selection, orchestration frameworks, integration patterns and enterprise security requirements.
• Design and demonstrate proofs of concept that illustrate how organizations can evolve from general‑purpose AI applications and wrappers to specialized, enterprise‑ready agentic AI platforms.
• Provide technical leadership across solution discovery, architecture design, infrastructure sizing, performance benchmarking, validation and technical positioning throughout the sales cycle.
• Identify, develop and accelerate complex client opportunities by connecting NVIDIA’s technical capabilities to clearly defined business outcomes, including productivity, automation, cost optimization and operational transformation.
• Design solutions that integrate NVIDIA technologies with existing enterprise environments, including ERP platforms, enterprise applications, data platforms and established IT architectures.
• Develop reusable technical assets, including reference architectures, workshop materials, benchmark reports, demonstration environments and implementation playbooks to accelerate solution development across EMEIA.
• Lead technical workshops, architecture reviews and client demonstrations, helping stakeholders evaluate solution alternatives, architectural trade‑offs and implementation approaches.
• Collaborate with EY account teams, industry specialists, consulting practices, NVIDIA solution architects, product management and engineering teams to develop integrated, outcome‑driven client propositions.
• Provide technical guidance during commercial pursuits, supporting proposal development, solution differentiation, technical risk assessment and the transition from pre‑sales to delivery.

Skills And Attributes For Success

• Strong enterprise architecture experience: Demonstrable experience working directly with clients in senior technical or architectural roles, with the ability to influence both technical specialists and senior business decision‑makers.
• Enterprise IT background: A strong technical foundation gained through roles such as Enterprise Architect, Solution Architect, ERP Architect, Technology Consulting Architect or equivalent positions within complex corporate IT environments.
• End‑to‑end technology understanding: A solid understanding of enterprise technology architectures, including applications, integration, data platforms, and operating systems.
• Enterprise‑scale delivery experience: Proven experience operating within complex IT or digital transformation environments, understanding architectural trade‑offs and contributing to strategic technology decisions across large organizations.
• Experience with enterprise applications and platforms such as SAP, Microsoft, Salesforce, Service Now or other major business technology ecosystems.
• Solution development capabilities: Experience translating business requirements into technical architectures, developing proofs of concept, evaluating technologies and supporting solutions through the pre‑sales lifecycle.
• Executive communication and influence: Excellent communication, presentation and stakeholder management skills, with the credibility to engage confidently with CIOs, CTOs, enterprise architects and senior business executives.
• Commercial awareness: The ability to connect technical decisions to business value, identify opportunities for technology‑enabled transformation and contribute to the development of commercially compelling solutions.
• Adaptability and innovation: Comfort operating in a rapidly evolving technology environment, managing ambiguity and moving quickly from an initial idea to a practical proof of concept.
• Collaboration and leadership: The ability to work effectively across geographically dispersed teams, influence without direct authority and develop the technical capabilities of colleagues and partners.
• Education and experience: A degree in computer science, engineering, information technology or a related discipline, or equivalent professional experience demonstrating strong technical expertise.
• Experience developing technical propositions, leading client workshops or supporting large, complex technology transformation opportunities.
• A track record of communicating emerging technologies to both technical and non‑technical audiences through presentations, demonstrations, training or thought leadership
• Optionally
• Experience designing or deploying AI, generative AI or agentic AI solutions in enterprise environments.
• Familiarity with NVIDIA’s accelerated computing ecosystem, including NVIDIA AI Enterprise, NIM, Nemotron, Ne Mo, AI factories, Omniverse or related technologies.
• AI and accelerated computing knowledge: An understanding of AI technologies, applications and workflows, with the ability to connect AI software and model capabilities to the underlying infrastructure required for enterprise deployment.
• Experience designing AI solutions that integrate with existing enterprise applications, data environments and business processes.
• Understanding of AI infrastructure, GPU computing, model deployment, inference optimization and hybrid or sovereign AI architectures.
• What We Look For
• We are looking for an experienced technology leader who combines strong enterprise architecture expertise, commercial awareness and a passion for emerging AI technologies.
• The successful candidate will be equally comfortable discussing enterprise architecture with a CIO, designing an AI solution with technical specialists and demonstrating the business value of NVIDIA technologies to senior client stakeholders.
• You do not need to be a specialist in every NVIDIA technology or an expert AI researcher.

What matters is a strong foundation in enterprise technology architecture, an ability to understand how complex systems fit together and the curiosity and drive to rapidly develop expertise in NVIDIA’s evolving technology portfolio.

• You will be a self‑starter who thrives in a collaborative, international environment, takes ownership of technical challenges and can translate innovative technologies into practical solutions that create value for clients.
• The position will be based in Europe, with regular collaboration across EMEIA and some international travel required.

What we offer you

At EY, we’ll develop you with future‑focused skills and equip you with world‑class experiences.

We’ll empower you in a flexible environment, and fuel you and your extraordinary talents in a diverse and inclusive culture of globally connected teams.

Are you ready to shape your future with confidence?

To help create an equitable and inclusive experience during the recruitment process, please inform us as soon as possible about any disability‑related adjustments or accommodations you may need.

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