About Vercel:Vercel gives developers the tools and cloud infrastructure to build, scale, and secure a faster, more personalized web. As the team behind v0, Next.js, and AI SDK, Vercel helps customers like Ramp, Supreme, PayPal, and Under Armour build for the AI-native web. Our mission is to enable the world to ship the best products. That starts with creating a place where everyone can do their best work. Whether you're building on our platform, supporting our customers, or shaping our story: You can just ship things. About the Role:As a Solution Architect in the Field Engineering team, you will span both technical pre‑sales and post‑sales, serving as a trusted advisor to our enterprise customers throughout their lifecycle. In pre‑sales, you will qualify technical fit, design future‑state architectures, run evaluations, and demonstrate how Vercel unlocks measurable business outcomes. Post-sales, you will act as a technical quarterback, helping customers successfully adopt and standardize on Vercel by aligning the right resources at the right time. You will guide architecture and implementation decisions, identify when to engage Professional Services or Developer Success, and work across Product and Engineering to unblock customers and drive long-term success for critical AI and Web workloads. If you’re based within commuting distance of our London or Berlin office, the role includes in-office anchor days. What You Will Do - Partner with Sales to lead technical discovery, qualify customer use cases, and shape solution strategy for key opportunities. - Design target architectures for modern Agentic workflows, and AI and web applications on Vercel, including frontends, APIs, data and edge services, and integrations with headless and composable ecosystems (CMS, commerce, payments, media, analytics). - Create and deliver tailored demos, technical presentations, and workshops that clearly articulate Vercel’s value and differentiate our platform. - Own and run proofs of concept and pilots end‑to‑end: define success criteria, guide implementation, remove technical blockers, and ensure executive‑level outcomes are documented. - Act as lead architect post‑sale for strategic accounts, guiding onboarding, reference implementations, migration patterns, and best practices for building and operating on Vercel. - Proactively engage with customers on performance, reliability, and cost optimization, using metrics like Core Web Vitals, Lighthouse, and observability data to drive continuous improvement. - Collaborate with other members of the Field Engineering Team to standardise playbooks, reusable assets, and patterns that scale across customers and regions. - Respond to and coordinate security, compliance, and architecture reviews, partnering with internal specialists on areas like data protection and regulatory requirements. - Capture recurring themes, patterns, and gaps from the field and feed them back into Product and Engineering roadmaps as the technical Voice of the Customer. - Contribute to internal enablement and external content (reference architectures, example repos, talks, and blog posts) that help developers be successful on Vercel. - Some travel elements are expected relating to industry events, customer on-sites. About You - You have significant experience in a customer‑facing technical role (solutions architect, sales engineer, platform architect, Agency Software Engineer) working with modern web or cloud platforms. - You bring strong hands‑on skills with JavaScript/TypeScript and modern web frameworks, ideally including Next.js, and are comfortable reviewing and discussing application code with engineering teams. - You understand web performance, caching, networking, and security fundamentals, ideally AI/LLM powered applications and Agentic workflows and can translate them into practical guidance for enterprise architectures. - You are equally comfortable discussing business outcomes with executives and implementation details with developers, switching context quickly while maintaining credibility. - You have a track record of owning complex technical projects, juggling multiple stakeholders, and delivering on time in fast‑moving environments. - You thrive in collaborative field teams, enjoy mentoring others, and value clear, concise communication and documentation. - You are familiar with cloud platforms (such as AWS, Azure, or GCP) and how SaaS and edge platforms integrate into broader enterprise architectures. - You have empathy for developers and a passion for great developer experience, and you enjoy helping teams build accurate mental models of how platforms work. - Bonus if you have experience of building AI powered applications, or Agentic workloads, ideally leveraging tooling such as the AI SDK. Bonus If You - Have production experience deploying and operating Next.js or other modern frontend frameworks on Vercel or similar platforms. - Have worked with organisations standardising on composable architectures (headless CMS, commerce, search, analytics, and identity providers). - Hold cloud or architecture certifications (for example, Cloud Solutions Architect certifications) or have led large‑scale migrations to cloud‑native platforms. - Are familiar with security and privacy standards such as SOC 2, PCI DSS, or HIPAA and have participated in customer security reviews. Benefits: - Competitive compensation package, including equity. - Inclusive Healthcare Package. - Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. - Flexible Time Off. - We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Role Description Help define best practices, establish cloud vision, mentor teams, and collaborate with cross-functional stakeholders to ensure our cloud infrastructure is robust, secure, scalable, resilient and cost-efficient. Influence strategic cloud initiatives and build world-class cloud solutions that enable business agility and long-term innovation. - Develop and implement a comprehensive AWS cloud strategy, ensuring alignment with business and technology goals. - Provide technical leadership and advocacy, championing cloud-native best practices and innovation. - Lead and drive architectural decisions, ensuring scalability, security, and operational efficiency. - Architect secure, scalable, and highly available AWS cloud environments. - Develop and maintain enterprise-wide cloud blueprints, patterns, and frameworks to drive consistency. - Research and integrate emerging cloud technologies to foster continuous innovation. - Lead adoption and implementation of Infrastructure as Code (IaC) using Terraform, AWS CloudFormation, and Helm. - Design and optimize CI/CD pipelines to streamline cloud deployments and operations. - Implement self-healing and automated failover mechanisms to enhance resilience and reliability. - Manage and optimize Kubernetes clusters (EKS, Helm, IAM) for scalability and security. - Define and enforce best practices for containerized applications and orchestration. - Improve Kubernetes networking, ingress, and observability solutions to enhance performance. - Establish and enforce security best practices for AWS environments, including IAM, WAF, Secret Manager, and encryption. - Implement zero-trust security models and secure multi-account AWS environments. - Conduct security audits, incident response, and ensure compliance with industry standards. - Deploy and manage monitoring tools (DataDog, Splunk, CloudWatch, Coralogix) to ensure visibility and observability. - Implement SRE principles to enhance system uptime, reliability, and efficiency. - Conduct post-mortem analysis and drive continuous improvements in cloud performance. - Work closely with software developers, system engineers, and security teams to design and implement cloud solutions. - Provide mentorship, training, and technical leadership to engineering teams. - Drive industry engagement by sharing expertise through public speaking, contributing to open-source projects, and participating in technical advisory boards. - Perform other duties as needed. Qualifications - Master’s degree (or foreign equivalent) in Computer Science, Computer Engineering, Information Technology, or a related field required. - 5 years of experience in job offered or related occupations required. - 5 years of experience in: - Designing and developing middleware services using Java frameworks including Spring Boot and Apache Camel. - Implementing messaging systems including AWS SQS and EventBridge. - Optimizing middleware services for high performance, scalability, and fault tolerance. - Developing low-code workflow applications using Appian. - Creating user-friendly interfaces and workflows. - Designing and implementing event-driven architecture using Salesforce’s Platform Events or Change Data Capture. - Implementing APIs from middleware for Salesforce CPQ solutions. - Managing AWS cloud infrastructure using services including CloudFormation. - Developing serverless applications with AWS Lambda and API Gateway. - Developing user-facing interfaces with modern JavaScript framework Angular. - Managing release pipelines using CI/CD tools including Jenkins. - Writing API test suites with tools such as Postman. Requirements - Employee reports to LexisNexis USA office in Raleigh, NC, but may telecommute from any location within the U.S. - Experience can be concurrent. Benefits - Salary range: $157,248.00 to $177k/year + standard company benefits. - National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations. - Country specific benefits available. How to Apply - Interested candidates should send email to ResumesICT@RELX.com and reference job code: R107254. Company Description We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

• Evaluate and select optimal model architectures (LLMs, SLMs, or traditional ML) based on mission requirements, considering tradeoffs between accuracy, latency, and cost • Guide customers on 'Build vs. Buy vs. Fine-tune' decisions, prioritizing open-source models (Llama, Mistral, Falcon) • Design and implement robust data pipelines within CDP to transform 'messy' legacy data into AI-ready formats • Develop and optimize Vector Databases and Retrieval-Augmented Generation (RAG) architectures to ground AI responses in verified agency facts • Optimize model inference for production environments using quantization, pruning, and hardware acceleration (NVIDIA GPU orchestration) • Collaborate with the customer’s AI Center of Excellence (CoE) to establish automated guardrails for ethics, bias mitigation, and FedRAMP/IL5 compliance • Translate complex technical AI concepts into mission-value briefings for GS-level stakeholders and agency leadership

• Consult with multiple clients simultaneously to understand business and technical needs • Be a trusted advisor to assigned clients; help align customer expectations with best practices • Develop strategic roadmaps and project plans based on customer goals • Work with clients and Project Managers to set expectations, drive alignment, and coordinate timelines • Document and present recommendations to customers, including senior leadership • Translate customer requirements into LOE estimates, design documents and keep project tracking boards up to date • Provide guidance to Cloud Engineers as they implement customer roadmaps • Quality check engineering work; ensure top quality work and customer satisfaction • Support Presales Cloud Solutions Architects in proposal design and positioning • Mentor Cloud Engineers