Solutions Architect, Applied AI (Startups)

About Prime Intellect Prime Intellect builds the backbone for advanced AI labs, delivering infrastructure that supports the next generation of artificial intelligence. Our platform, Lab, brings together environments, evaluations, sandboxes, and high-performance training into one unified system for post-training at scale. Teams use Lab for Reinforcement Learning (RL), Supervised Fine-Tuning (SFT), tool integration, agent workflows, and deployment. We rely on our own technology to train leading-edge models, ensuring our clients benefit from proven solutions. Prime Intellect recently raised $15 million in new funding, bringing our total to $20 million. Investors include Founders Fund, Menlo Ventures, and notable angels such as Andrej Karpathy, Tri Dao, and Dylan Patel. Role Overview: Solutions Architect - AI Infrastructure This San Francisco-based role connects client success, technical operations, and AI infrastructure delivery. The Solutions Architect works directly with customers to guide onboarding, deployment, and scaling on the Prime Intellect platform. Internally, this position helps build systems and workflows that make our services more scalable and efficient. Beyond supporting individual accounts, this role shapes how we serve technically advanced clients, turning high-touch deployments into repeatable processes and better tools for sustainable growth. Key Responsibilities Customer Success and Account Management Serve as the main point of contact for customers using our AI infrastructure Oversee onboarding and coordinate deployments from post-sale through production readiness Build trusted relationships with customer teams, proactively resolving issues and managing risks Work closely with engineering and operations to ensure customer needs are understood and addressed Systems Development and Operational Efficiency Improve internal systems for onboarding, deployment tracking, escalation management, and account health monitoring Spot repetitive tasks and convert them into streamlined processes, tools, or automation Help define operational cadence, support infrastructure, and scalable service models for account management Develop structure and introduce solutions that enhance the customer experience

About the CompanyLavendo is a pioneering publicly traded company leading the charge in the AI revolution. With an AI-centric cloud platform, we are transforming the artificial intelligence landscape. Our state-of-the-art infrastructure, including extensive GPU clusters and advanced cloud services, supports developers in harnessing the explosive growth of the global AI industry, catering to Fortune 1000 firms, innovative startups, and AI researchers alike.Company type: Publicly tradedIndustry: AI/ML, Cloud Computing, Infrastructure-as-CodeCandidate Location: Remote U.S.Our mission is to democratize AI infrastructure access and empower organizations to innovate, optimize, and deploy AI solutions seamlessly at any scale. By simplifying the complexities of AI development, we provide a comprehensive full-stack AI platform that marries robust hardware with easy-to-use tools and services.The OpportunityWe are on the lookout for a Senior AI/ML Specialist Solutions Architect to become a crucial part of our client's dynamic team. This role presents an exciting opportunity to design and implement scalable AI solutions tailored for AI-centric clients, leveraging cutting-edge technologies and contributing to one of the most powerful commercially available supercomputers.What You'll DoArchitect and enhance distributed training and inference systems for large-scale AI models.Design and deliver customer-centric solutions that optimize performance and drive business value.Lead the migration of ML pipelines from Proof of Concept to scalable production environments.Foster long-term relationships with clients, ensuring satisfaction and alignment with their strategic objectives.Produce whitepapers, conduct technical presentations, and facilitate webinars to disseminate insights and best practices.Provide technical guidance and mentorship to teams regarding AI infrastructure and deployment strategies.Collaborate with engineering and product teams to prioritize customer feedback and shape product roadmaps.

About UsAt Lavendo, we are at the forefront of AI cloud infrastructure, rapidly expanding with a significant global presence that includes R&D centers in North America, Europe, and Israel. Our exceptional team of engineers and AI researchers is dedicated to creating innovative solutions that provide the essential infrastructure for the next wave of AI-driven enterprises.We empower organizations, from Fortune 500 companies to pioneering AI startups and research institutions, allowing them to address complex AI challenges without incurring heavy infrastructure costs or the need to develop extensive in-house AI/ML teams.Our MissionWe aim to democratize access to top-tier AI infrastructure, enabling organizations of all sizes to transform ambitious AI goals into tangible outcomes. Our culture fosters creativity, embraces challenges, and thrives on teamwork.Your RoleAs a Cloud Solutions Architect (Pre-Sales), you will serve as a vital technical partner to some of the most forward-thinking AI teams globally. You will engage directly with cutting-edge GPU infrastructure, including the latest NVIDIA technology, to assist clients in designing, deploying, and optimizing AI workloads at scale. This high-profile position lies at the intersection of deep technical expertise and strategic customer interaction, significantly shaping customer experiences and platform adoption.Key ResponsibilitiesAct as a trusted technical advisor to customers throughout the entire pre-sales and onboarding process.Lead proof-of-concept initiatives, architectural workshops, presentations, and training on GPU cloud technologies and industry best practices.Work closely with customers to understand their business needs and translate them into scalable solution architectures.Develop and document Infrastructure as Code solutions, reference architectures, and technical guides in collaboration with support engineers and technical writers.Assist clients in optimizing machine learning pipeline performance and resource efficiency.Serve as a cross-functional technical expert, connecting product, technical support, and marketing teams with customer requirements.Represent Lavendo at external events, including hackathons, conferences, and industry showcases.

About Liquid AIFounded as a spinoff of MIT CSAIL, Liquid AI specializes in developing versatile AI systems designed for optimized performance across various deployment platforms, from data center accelerators to on-device hardware. Our commitment to low latency, minimal memory consumption, privacy, and reliability sets us apart. We collaborate with enterprises in sectors such as consumer electronics, automotive, life sciences, and financial services. As we experience rapid growth, we seek remarkable talent to join our journey.The OpportunityAs we establish our solutions architecture function from the ground up, you will play a pivotal role as one of our inaugural Solutions Architects. Collaborating closely with the Head of Solutions Architecture and the go-to-market organization, you will manage customer engagements from inception to completion.Our models are specifically engineered for environments constrained by memory, latency, and power, encompassing edge devices, mobile applications, embedded systems, and on-premises infrastructure where traditional models cannot operate. You will engage with this boundary daily.Our clientele ranges from AI-native startups to established enterprises venturing into AI for the first time. Your mission is to bridge the gap between our models' capabilities and customers' expectations, delivering on that promise from technical validation through to go-live.

About Us:At novita-ai, we are a rapidly growing global provider of AI cloud infrastructure, leading the charge in the artificial intelligence revolution. Our innovative platform equips developers and enterprises with powerful, scalable, and user-friendly solutions such as Model APIs, GPU Instances, and Serverless Computing. As organizations around the globe strive to integrate AI into their offerings, we serve as the essential engine that fuels their innovative efforts.Join our world-class team and contribute to our expanding customer base. This unique opportunity allows you to be part of a dynamic company in a hyper-growth market, where your technical skills will directly impact customer success and drive our business forward.The Role:As a Solutions Engineer, you will act as the primary technical leader and trusted advisor for our clients throughout their journey. You will collaborate closely with the sales team to bridge the gap between complex customer challenges and our sophisticated technical solutions. Your mission is to build technical credibility, demonstrate the capabilities of our platform, and design tailored solutions that empower our clients to achieve their AI-related business objectives.What You'll Do:Technical Discovery & Solution Design: Collaborate with Account Executives to gain a deep understanding of customer needs, technical requirements, and business goals. Develop elegant and effective solutions utilizing our AI infrastructure stack (Model APIs, GPU Instances, Serverless).Product Demonstration & Proof of Concept (POC): Conduct engaging, customized product demonstrations and interactive workshops. Plan, manage, and execute successful POCs, showcasing the value and performance of our platform within the client’s environment.Technical Evangelism & Trusted Advisory: Communicate the value proposition of our platform to diverse audiences, including both technical and non-technical stakeholders, from engineers to C-level executives. Establish yourself as the go-to expert for customers on best practices in AI infrastructure.Sales Enablement & Market Feedback Loop: Create and maintain technical sales materials, including whitepapers, best practice guides, and demo scripts. Serve as the voice of the customer, relaying valuable feedback from the field to our Product and Engineering teams to influence our product roadmap.Onboarding & Implementation Guidance: Facilitate a seamless post-sales transition by providing initial onboarding support and architectural guidance, setting customers up for sustained success.

About Anthropic Anthropic builds AI systems with a focus on reliability, interpretability, and steerability. The team includes researchers, engineers, policy experts, and business leaders, all working together to ensure AI benefits both users and society. Role Overview The Commercial Solutions Architect, Applied AI, joins Anthropic’s Applied AI team as a Pre-Sales Architect. This role centers on demonstrating the value of Claude and helping customers integrate and deploy it within their technology stacks. The position combines technical expertise with customer engagement to design LLM solutions for complex business needs, always maintaining Anthropic’s standards for safety and reliability. As a Commercial Solutions Architect, expect to work closely with key accounts, building reusable solution blueprints, demos, and enablement materials that support the wider adoption of Claude across Anthropic’s commercial clients. Collaboration is central: work alongside Sales, Product, and Engineering teams to guide clients from early technical discovery through to deployment. Use your knowledge to help customers understand Claude’s capabilities, develop evaluation strategies, and design scalable architectures that unlock the full potential of Anthropic’s AI systems. Location San Francisco, CA or New York City, NY

Join Fluidstack: Pioneering the Future of IntelligenceAt Fluidstack, we are dedicated to constructing the framework for abundant intelligence. Collaborating with elite AI laboratories, governmental bodies, and enterprises—including Mistral, Poolside, Black Forest Labs, and Meta—we aim to provide computing resources at unparalleled speeds.Our mission is to expedite the realization of Artificial General Intelligence (AGI). Our team is driven, passionate, and committed to delivering top-tier infrastructure solutions. We view our clients' success as our own, taking immense pride in the systems we create and the trust we cultivate. If you are purpose-driven, excellence-obsessed, and eager to work diligently to advance the future of intelligence, we invite you to join us in shaping what comes next.Role OverviewAs a Data Center Infrastructure Architect (Optical), you will play a crucial role in transforming logical network designs into scalable, resilient, and cost-effective optical and structured cabling frameworks tailored for hyper-scale data centers. This position encompasses the complete physical execution of the data center network (DCN), including fiber plant architecture, transceiver planning, and integration with structured cabling systems.Key ResponsibilitiesLogical / Physical Mapping:Deconstruct DCN logical port maps (TOR, spine, super-spine, DCI) into physical cross-connect and patching schedules.Automate port-to-fiber mapping at scale (100K+ ports per site).Fiber Plant Design:Specify cassette types (MTP/MPO Base-8/12/16), trunk counts, and structured cabling hierarchy.Plan cassette positioning within racks, rows, and meet-me-rooms.Model fiber utilization and overbuild for 2–3 hardware generations.Optics / Transceiver Planning:Choose optics (400G/800G DR4, FR4, LR4, SR8, coherent DCI) based on reach and loss budget.Ensure interoperability across various vendors and product generations.Maintain loss budget and margin models for every link type.Structured Cabling & Physical Implementation:Define patching architectures (direct MPO vs. breakout vs. mid-span).Ensure pathways (ladder racks, underfloor, ODFs) are designed to scale with fiber density.Establish standards for installation practices and documentation.

About Us:Modal is at the forefront of AI infrastructure. We provide seamless access to GPUs, quick container startups, and integrated storage solutions, simplifying the process of model training, batch job execution, and low-latency inference. Leading companies such as Suno, Lovable, and Substack trust Modal to transition from prototypes to full-scale production without the complexities of infrastructure management.Our rapidly expanding team operates out of NYC, San Francisco, and Stockholm. With a remarkable 9-figure annual recurring revenue (ARR), we recently achieved a valuation of $1.1 billion after our successful Series B funding round. Thousands of customers, including Lovable, Scale AI, Substack, and Suno, depend on us for their AI workload needs.Joining Modal means becoming part of a dynamic, rapidly growing AI infrastructure company with substantial opportunities for personal and professional advancement. Our team comprises creators of well-known open-source projects (e.g., Seaborn, Luigi), academic researchers, international competition medalists, and seasoned engineering and product leaders with extensive experience.The Role:We are seeking a strategic Solutions Architect to influence technical strategies across our key enterprise accounts.In this position, you will serve as the technical partner to Enterprise Account Executives, managing intricate evaluations, developing infrastructure modernization strategies, and promoting multi-product adoption across AI and ML applications.This is a strategic, consultative role that demands a robust architectural background, a strong executive presence, and the ability to impact major infrastructure decisions worth millions. You will collaborate directly with CTOs, VPs of Engineering, and leaders of ML platforms to redefine the construction and operation of AI infrastructure.If you excel in fast-paced technical sales contexts and are eager to shape the infrastructure that drives modern AI innovations, we would love to hear from you.

About UsAt Lavendo, we are pioneering an infrastructure that most engineers only dream of. We operate an AI-centric cloud platform that integrates expansive GPU clusters, high-speed networking, and cloud-native tools, catering to enterprises, innovative startups, and leading research teams. Our mission is straightforward: empower our clients to efficiently train and execute complex AI and simulation workloads without the need to construct their own supercomputers.As a publicly traded company, we are rapidly expanding, with R&D centers across North America, Europe, and the Middle East. Our culture emphasizes engineering excellence: minimal bureaucracy, significant ownership, and a focus on tackling challenging infrastructure problems while witnessing the impact of our work on real customer operations.Your Role as HPC Specialist Solutions ArchitectIn this pivotal role, you will be the go-to expert for customers looking to establish or enhance advanced GPU and HPC environments in the cloud. This includes multi-rack clusters, high-speed interconnects, intricate scheduling, and strict SLAs regarding throughput and latency.As an HPC Specialist Solutions Architect, you will design and optimize cutting-edge platforms for AI training, extensive simulations, and data-intensive workloads. You will collaborate closely with NVIDIA's latest hardware (Hopper, Blackwell, and future versions), NVLink/NVSwitch topologies, and InfiniBand/RoCE fabrics, having a substantial influence on the evolution of our platform and reference architectures. If you thrive on translating workloads into optimized clusters and maximizing performance, this is the ideal position for you.Your ResponsibilitiesCluster Design: Architect and implement HPC clusters for AI, simulation, and distributed training using Kubernetes and schedulers like Slurm. Your considerations will include node types, GPU topology, queues, partitions, and failure scenarios.Infrastructure Optimization: Integrate NVIDIA Hopper and Blackwell-class GPUs with NVLink/NVSwitch and InfiniBand/RoCE, ensuring the hardware layout aligns with the communication patterns of the workloads.Automation: Deploy and manage GPU and Network Operators to standardize drivers, CUDA, firmware, and high-speed networking across extensive fleets, rather than managing on a box-by-box basis.Supercomputer Cloud Functionality: Design and validate cloud-native HPC environments that emulate supercomputer capabilities.

Join Anthropic as a Solutions Architect specializing in Applied AI, focusing on state and local government initiatives. You will leverage cutting-edge AI technologies to develop innovative solutions that enhance public services. Collaborate with government agencies to identify challenges and implement effective AI strategies that improve efficiency and accessibility.

About Our ClientJoin an innovative AI platform that develops autonomous AI Receptionists and Agents designed to enhance customer interactions for small and medium-sized businesses. Founded in 2023 by a seasoned entrepreneur whose previous AI venture exceeded 50 million users worldwide, this rapidly growing company is supported by top-tier investors and has successfully deployed 15,000 AI agents across 10,000 businesses globally.Recently securing $25 million in Series A funding, our client has demonstrated remarkable growth, doubling its revenue in just the last two months of 2025 as it aims to scale towards deploying 1 million AI agents.Mission StatementOur mission is to transform traditional, costly, and erratic customer communications into efficient, revenue-generating solutions powered by autonomous AI. With our platform, businesses can deploy a fully configured AI receptionist in just three minutes—no coding skills required. Experience unmatched performance with sub-second latency, 99.99% uptime, and seamless integrations across over 200 platforms, including phone, SMS, email, web chat, WhatsApp, Instagram, TikTok, and more.Career OpportunityWe are assembling a dynamic team of Solutions Architects to oversee the deployment of AI agents across our partners and customers in North America and EMEA. This is an exciting time to join a well-funded, fast-growing team that is developing the infrastructure thousands of SMBs depend on.We are looking to hire 3-5 Solutions Architects for immediate openings. If you're a driven early-career technologist from a top program eager to take ownership, make a significant customer impact, and build production AI systems, we encourage you to apply.Key ResponsibilitiesAnalyze partner and customer business requirements, translating them into comprehensive technical specifications and deployment strategies.Configure and tailor AI agent solutions to ensure smooth integration with existing platforms such as CRMs, booking tools, and payment systems.Manage end-to-end implementations—from project kickoff to go-live—while coordinating with stakeholders to ensure timely delivery.Act as the primary technical contact during partner discussions; confidently present solutions with minimal oversight.Identify and address technical risks throughout the implementation process.Contribute to the development of scalable deployment practices as the team expands.

Join Cloudflare as a Solutions Architect focused on our AI and Developer Platform. In this hybrid role, you will leverage your expertise in cloud technologies and artificial intelligence to design innovative solutions that enhance our platform's capabilities. Your contributions will directly impact how developers interact with our services, optimizing performance and user experience.

Join Anthropic as a Solutions Architect in our Applied AI team, where you will play a pivotal role as a Pre-Sales architect. Your mission will be to empower federal civilian agencies with the insights and technical expertise needed to harness the full potential of our AI system, Claude. You will bridge the gap between complex technical solutions and customer needs, ensuring smooth integration and deployment within their technology frameworks. Collaborating closely with Sales, Product, and Engineering teams, you will guide clients from initial discovery through to successful implementation, helping them understand the capabilities of Claude and designing innovative architectures that address their unique challenges while adhering to our stringent safety and reliability standards.

Who We AreAt TwelveLabs, we are at the forefront of developing innovative multimodal foundation models that enable video comprehension akin to human understanding. Our groundbreaking models have set new benchmarks in video-language modeling, enhancing our capabilities in intuitive media interaction and analysis.With a strong financial backing of $107 million from Seed and Series A funding, our endeavors are supported by distinguished venture capital firms, including NVIDIA's NVentures, NEA, Radical Ventures, and Index Ventures, alongside renowned AI pioneers like Fei-Fei Li and Silvio Savarese. Operating from our headquarters in San Francisco, we also have a significant presence in APAC with our office in Seoul, emphasizing our dedication to global innovation.As a diverse global company, we celebrate the unique journeys of our team members. The diverse cultural, educational, and life experiences of our employees allow us to continuously challenge the status quo. We seek individuals who are driven by our mission and passionate about making a significant impact in the realm of technology. Join us as we redefine video understanding and advance multimodal AI.About the TeamThe Field Engineering team is dedicated to the reliable and efficient deployment of TwelveLabs' video understanding APIs for developers and enterprises. We serve as trusted advisors and thought partners, ensuring our clients derive maximum value from our multimodal foundation models and products.The Solutions team, a vital part of Field Engineering, is committed to empowering high-impact and strategic customers. We work closely to tackle technical challenges, provide in-depth expertise, and co-create innovative video AI applications that demonstrate the transformative benefits of our platform.About the RoleWe are seeking a Solutions Architect to assist our strategic clientele in harnessing the full potential of video AI. As the dedicated technical resource for key accounts, you will lead solution design, provide implementation guidance, and co-develop innovative applications that illustrate the capabilities of our multimodal foundation models.In this role, you will offer expert technical advice while collaborating with Sales, Product, Partnerships, and Engineering teams.This position demands a highly self-motivated and creative individual who thrives in an unstructured, fast-paced, and evolving environment.

Join Mercury as an AI Solutions Architect, where you will be instrumental in enhancing our customer-facing chatbot and AI agent experience. In this key role, you will define strategic initiatives to optimize customer interactions with AI agents, ensuring an exceptional user experience. Your responsibilities will include targeted configuration of workflows, performance reviews, and quality coaching for ongoing improvement.You will collaborate closely with teams across Customer Support Strategy and Operations, Engineering, Product, and external vendors to uphold a high standard of quality, safety, and trust in our AI solutions.In addition to chatbot optimization, you will play a critical role in shaping the AI strategy within the Customer Support organization, creating best practices, and empowering your peers to explore AI solutions that boost team efficiency.

Be a part of our mission to redefine AI by leading innovations in document comprehension.About the PositionLlamaIndex is seeking an Applied AI Solutions Architect who thrives at the nexus of enterprise sales and technical implementation. This pivotal role is integrated into our revenue efforts—transforming skeptical engineering teams into advocates and guiding promising evaluations to successful contracts.You will manage the technical relationship from initial discovery through proof of concept, collaborating closely with Account Executives on real-time opportunities with leading AI innovators. Your role extends beyond simple product demonstrations; you will diagnose critical infrastructure issues, design tailored solutions, and cultivate trust with stakeholders who will depend on the architecture long after the agreement is finalized.Key ResponsibilitiesConduct in-depth technical evaluations, proofs of concept, and solution design sessions for enterprise clients across various industries and use cases.Collaborate closely with Account Executives to mitigate deal risks, identify technical challenges early, and establish credible pathways to success.Articulate complex AI and data infrastructure concepts effectively to both engineering teams and C-level executives in the same dialogue.Design and prototype solutions utilizing LlamaIndex's platform to meet customer demands concerning accuracy, latency, cost, and scalability.Act as the voice of the customer internally, providing insights to Product and Engineering that enhance our roadmap.Desired QualificationsSolid engineering background with hands-on experience in AI/ML systems, data pipelines, or enterprise software architecture.Proven track record in customer-facing technical roles, including pre-sales, solutions engineering, or technical consulting.Ability to operate in uncertain environments: you can define a problem, make informed assumptions, and progress without waiting for complete information.Strong go-to-market instincts—understanding what it takes to build technical consensus within a buying committee.Effective and confident communicator capable of translating system design trade-offs into business risks for executives.Prior experience with LlamaIndex or LlamaCloud is not mandatory; we value your thought process and problem-solving approach.

Join Databricks as a Resident Solutions Architect, where you will play a pivotal role in driving customer success and implementing innovative solutions. As a key member of our team, you will collaborate with clients to understand their business needs and architect solutions that leverage our cutting-edge data and AI platform. Your expertise will empower organizations to unlock the value of their data through strategic guidance and hands-on support.

Join DigitalOcean as a Senior Solutions Architect II specializing in AI and Machine Learning. In this pivotal role, you will leverage your expertise to design and implement innovative solutions that drive our customers' success. You'll collaborate with cross-functional teams to ensure our clients harness the full potential of our cloud services, enabling them to scale and optimize their operations effectively.

Join Intercom, the leading AI-powered Customer Service platform dedicated to enhancing client interactions and creating exceptional customer experiences.Our state-of-the-art AI agent, Fin, revolutionizes customer service by enabling businesses to provide continuous, superior support. Fin can seamlessly integrate with our Helpdesk, forming the comprehensive Intercom Customer Service Suite, designed to handle intricate or high-touch inquiries that necessitate human intervention.Since our inception in 2011, we have earned the trust of nearly 30,000 businesses worldwide, establishing new benchmarks in the customer service space. Our commitment to pushing boundaries, fostering innovation, and delivering outstanding value drives us forward.What’s the opportunity?As a Solutions Architect, you will serve as a key technical partner for our clients, guiding them through the integration, deployment, and optimization of Intercom and Fin, our AI agent. Collaborating closely with Customer Success Managers, Sales Engineers, and R&D teams, you will offer strategic insights, technical solutions, and hands-on assistance for API integrations, security assessments, and AI-driven automation strategies.This position is perfect for those with a strong technical background who are customer-centric and enthusiastic about leveraging AI for customer service enhancements. You will empower businesses to fully harness the capabilities of Intercom and Fin, ensuring smooth implementation and sustained success.