• Serve as the Subject Matter Expert to secure customer validation of technical solutions, supporting the account team in pre-sales engagements. • Deliver tailored technical presentations, including deep-dive demos, workshops, and POCs, leveraging traditional and emerging tools where applicable. • Develop technical strategies for complex opportunities, including RFx e.g. Request for Information (RFI), Request for Proposal (RFP), Request for Quotation (RFQ) responses and architecture designs. • Collaborate with product engineering teams to align solution designs with product roadmaps and industry advancements. • Partner with customer success and ecosystem partners to ensure smooth post-sale adoption and expansion. • Create reusable technical assets (e.g., architecture templates, battle cards) to scale best practices. • Mentor junior team members on solution architecture principles and stakeholder alignment techniques. • Represent the company in technical forums, sharing insights on product capabilities and real-world use cases.

• Serve as the primary AI Infrastructure SME, providing expert guidance on NVIDIA DGX platforms and compatible OEM solutions for AI training, inference, and high-performance computing (HPC) workloads. • Work with and assess customer requirements through discovery and qualification sessions, workshops, and technical consultations to design tailored AI data center solutions. • Create detailed hardware configurations, including server, storage, networking, and GPU components, ensuring scalability, performance, and cost-efficiency. • Utilize Reference Architectures provided by all OEMs, validate and recommend properly aligned solutions. • Develop and maintain accurate Bills of Materials (BOMs) for proposed solutions, incorporating power, cooling, and rack considerations. • Deliver technical presentations, proofs of concept (POCs), and solution demonstrations to customers and internal teams. • Provide recommendations on best practices for AI infrastructure deployment, optimization, and integration with existing environments. • Support field sales teams by participating in customer meetings, responding to RFPs/RFIs, and addressing technical objections during the sales cycle. • Collaborate with vendors (e.g., NVIDIA, OEM partners) to stay current on product roadmaps, certifications, and emerging technologies. • Contribute to internal knowledge sharing by documenting solutions, creating playbooks, and training sales teams on AI infrastructure trends. • Monitor industry developments in AI hardware, including GPUs, accelerators, and data center innovations, to inform solution strategies. • Collaborate with account teams to evaluate and understand customer data center environments and infrastructure technologies. • Design and propose tailored infrastructure solutions that align with customers' business objectives and outcomes. • Build and maintain technical relationships with OEMs and strategic partners, while staying updated on the latest product information. • Provide product training and technical education to the sales team and customers. • Act as a trusted AI advisor for customers, partnering with Field Account Executives. • Manage the solution practice pipeline by developing strategies for top prospects and acquiring new business. • Identify and uncover technology opportunities within Data Center, Cloud, Network, Security, Collaboration, and Services spaces. • Develop solutions that fit customers’ needs and budgets through strategic planning. • Engage with multiple layers of client contacts, including CIOs, IT Directors, and CTOs, to ensure comprehensive account management. • Educate and develop AGT and SHI teams on technical selling, product training, services, and technology trends.

• Collaborate with customers to gather technical requirements and translate them into effective solution designs • Design and deliver complete solutions for small-to-medium projects or contribute to larger enterprise solutions • Apply systems and architecture design fundamentals to ensure solutions are scalable, secure, and aligned with RTS best practices • Collaborate with senior Solutions Architects and internal teams (sales, delivery, engineering, operations, support) to drive successful project outcomes • Support evaluation and recommendation of technology platforms, tools, and frameworks that optimize performance and security • Troubleshoot and resolve solution-related issues, escalating complex problems as needed • Communicate technical concepts clearly in both written and verbal formats to technical audiences and stakeholders • Participate in knowledge sharing, documentation, and process improvement initiatives within the Solutions Architecture team • Stay current with industry trends, emerging technologies, and architectural best practices to enhance solution quality and innovation

• Provides presales solution architecture services across materially significant, strategically important clients and client groups. • Leads in the development of complex, tailored solutions, ensuring alignment with client needs and Unisys offerings, often incorporating emerging technologies. • Develops and delivers high-level presentations and demos, articulating the value of proposed solutions to senior-level managers and decision-makers. • Works with sales, product development and engineering teams to align proposed solutions with business objectives, ensuring technical feasibility and optimal client outcomes. • Oversees and contributes to preparation of technical responses for RFPs and RFIs, ensuring competitive and technically sound submissions. • Evaluates potential risks, ensuring that solutions comply with operational standards, security protocols and applicable regulations. • Fosters long-term client relations, providing trusted advice and counsel from a technical and operational perspective.