Solution Architecture Platforms Manager Jobs

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Are you passionate about helping organizations unlock the power of AI through modern data architecture? Snowflake is looking for a customer-facing Solution Engineer who combines strong technical depth with executive presence and a passion for innovation. In this role, you’ll partner with Sales to guide customers from raw data to real AI impact — architecting scalable solutions, delivering compelling demos, and influencing complex buying decisions across executive and technical audiences. Location: Candidate MUST be located in or near Boston. What You’ll Do Lead customer conversations on AI strategy and data modernization. Design and demonstrate scalable data and AI solutions using SQL and Python. Support enterprise Proof of Concepts from concept to value realization. Translate complex technical concepts into measurable business outcomes. Navigate objections and competitive dynamics in high-stakes sales cycles. Leverage AI tools to personalize demos, accelerate preparation, and enhance delivery. What You Bring Strong SQL proficiency and experience with modern data warehousing. Experience using Python for analytics or ML workflows. Familiarity with AI/ML concepts, including Generative AI and LLMs. Exceptional communication skills across technical and executive audiences. Abil

Assistant Lead - Solution Architect will play a critical role in assisting senior architects in designing and implementing robust, scalable, and secure architecture solutions that meet the organization's business objectives. The individual will work closely with cross-functional teams, providing technical leadership, guiding the development of architecture strategies, and ensuring alignment with both business goals and best industry practices. Source: Adani Group | Job ID: 52365

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. About the Role As a Senior Solution Engineer at Snowflake, you are the technical trusted advisor to our customers and prospects. You bridge the gap between complex technical capabilities and business outcomes, equally comfortable whiteboarding architecture with a data engineering team and presenting ROI to a CFO. You own the technical win. Responsibilities Lead technical discovery, solution design, and proof-of-value engagements with enterprise customers across all industries Translate complex business requirements into architectures leveraging the Snowflake Data Cloud (data engineering, data science/AI/ML, data sharing, applications, and security/governance) Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual contributors to C-suite executives Partner with Account Executives to drive pipeline, accelerate deals, and close business Serve as the voice of the customer back to Product and Engineering teams Build and maintain reusable assets: demo environments, reference architectures, and solution accelerators Stay current on competitive landscape, industry trends, and emerging capabilities across the data & AI ecosystem Required Qualifications 8+ years of experience spanning multiple disciplines: data engineering, analytics

NVIDIA is looking for a hands-on Solutions Architect Manager to lead a team of GPU, networking & software solution architects and engineers. Do you want to build and lead a group that designs, debugs, and deploys new AI hardware and software technologies into production in customer data centers? As part of the NVIDIA SA organization, you will drive people and technical leadership for end-to-end solutions deployments at some of NVIDIA's most strategic technology customers, while directly contributing to designs and deep-dive debugging and shaping our product roadmap with customer feedback. What you will be doing: Recruit & manage a team of solutions architects, system/network and software engineers focused on large-scale GPU and AI networking deployments. Set priorities, allocate resources, mentor, and ensure high-quality customer delivery across multiple concurrent projects - while remaining directly involved in key technical reviews, design decisions, and critical debug efforts. Provide deep subject-matter expertise in advanced GPU and network systems and serve as the senior technical point of contact for strategic customers. Personally lead and guide complex compute/network configuration and performance debugging, working side-by-side with your team to deliver performant, reliable clusters. Guide your team as they lead network / compute / software architecture discussions, and support server, network, and cluster bring-up, including on-site data center work where needed. Systematically collect and synthesize customer-specific requirements across your portfolio. Partner with GPU/Network Systems Engineering, Product Management, and Sales to influence roadmap priorities and packaging of reference designs and solutions. Demonstrate SME in advanced GPU & network systems and be a trusted technical advisor to NVIDIA's strategic customers. Bring customer-sp

We are looking for an experienced and driven leader, with great energy, passion and initiative to manage a highly motivated Pre-Sales Solutions Architecture team. MongoDB Pre-Sales Solution Architects partner with the rest of the go to market team to help our customers craft and build solutions to address their business needs. Our team is made up of top-tier software architects, entrepreneurs, and developers who take direct responsibility for customer success. As an integral component of the sales team, they help shoulder the responsibility of generating revenue, by strategically interfacing with the customer and becoming the trusted advisor. As a leader in Pre-Sales Solutions Architecture, you will cultivate a stellar team. You will partner closely with our sales counterparts to define, improve and execute our sales initiatives in the enterprise market. You will be integral to driving the business forward, by developing both our pre-sales and sales practices and by bringing the voice of experience. We are looking to speak to candidates who are based in Mexico City for our hybrid working model. Candidate Profile 4+ years of pre-sales experience, with strong commercial skills 3+ years Management experience, ideally in pre-sales, distributed team management preferred Results oriented, with a track record of overachievement (Circle of Excellence, Leader of the Year, etc.) Driven – you possess a strong desire to be successful Focused – you are skilled in managing time and resources and have a sound approach to technically qualifying opportunities Intelligent – you possess an aptitude to learn quickly and establish credibility Excellent presentation and interpersonal skills Database industry background a plus Software development background a plus Experience across the LATAM market, beyond Mexico a plus The ability to travel up to 30% A Bachelor’s degree or equivalent work experience Position Expectations Recruit, retain, and develop top pre-sales

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We seek a highly specialised technical Senior Security Architect (SA) who practices security with an obsession for helping customers design and implement the best security mechanisms, particularly those that would relate to the Snowflake AI & Data Cloud. At Snowflake, Security Architects are passionate about security, often involving tremendous technology challenges that require no simple solutions. Success requires working collaboratively with a broad range of people inside and outside the company. Operating out of our APJ Field CTO Office , you will serve as our primary South Korean Security expert, who will be a cloud compliance evangelist, technical architect, and hands-on practitioner. This specialized role bridges the gap between global cloud data architecture and South Korea’s rigorous, localized regulatory frameworks, specifically the Cloud Security Assurance Program (CSAP) and the Korea Financial Services Institute (K-FSI) Safety Evaluation. IN THIS ROLE YOU WILL GET TO: Help to scope security related feature enhancements on behalf of customers to work with Product Management and Engineering on ways to enhance requirements for the local market. Help drive Snowflake adoption by advising customers and engineering teams on how to build secure Korea-compliant Data

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Senior Solutions Engineer — Perth Snowflake is growing fast, and we are looking for a Senior Solutions Engineer to join our ANZ field team in Perth . In this role, you will partner closely with Sales, Product, Engineering, and Marketing to help customers understand, evaluate, and realise the value of the Snowflake AI Data Cloud. This role is aligned to a major enterprise account in the Perth market and is well suited to a strong technical operator who combines customer-facing confidence with practical execution capability. While data architecture depth remains important, this role is especially suited to someone who can build trust on the ground, drive technical progress within complex customer environments, and help uncover new opportunities over time. Experience or strong interest in AI and machine learning deployment workflows will be highly regarded. You will bring strong technical expertise, customer engagement skills, and the ability to connect business challenges to modern data and AI solutions. You should be comfortable presenting to senior stakeholders, leading discovery sessions, building demos, running proofs of concept, and guiding customers on architecture and implementation approaches. As a Senior Solutions Engineer at Snowflake, you will: Partner with account

Senior Consultant-We are seeking a seasoned ITES Solution Architect to lead the design and execution of enterprise-grade IT infrastructure projects. -"Key Responsibilities: Infrastructure Architecture & Design • Design and implement end-to-end IT infrastructure solutions including compute, storage, network, and security. • Architect high-availability systems with failover clustering, load balancing, and redundancy. • Define and implement disaster recovery strategies with clear RTO/RPO objectives. Data Center & DR Strategy • Design and manage primary and secondary data center environments. • Plan and execute DR site configurations, ensuring seamless failover and recovery. • Implement real-time or scheduled data synchronization between DC and DR using replication technologies (e.g., SAN replication, DFS-R, Veeam, Zerto). Backup & Recovery Planning • Develop and maintain enterprise backup strategies using tools like Commvault, Veeam, or NetBackup. • Ensure secure, encrypted backups with retentio

About the Team The Applied AI Engineering team is responsible for helping customers turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Codex Applied AI Engineering team focuses on helping organizations transform how software is built with AI. We partner directly with engineering teams and technical leaders to integrate Codex into their software development lifecycle — from identifying high-impact use cases and designing AI-enabled workflows to implementation, evaluation, and scaled adoption. Our work helps ensure AI-powered software development is effective, reliable, secure, and deeply integrated into how engineering organizations operate. About the Role We are seeking an experienced technical leader to join as Manager, Applied AI Engineering (Codex) , leading a team of Applied AI Engineers responsible for driving successful Codex adoption across strategic customers. Your team will work hands-on with customer engineering organizations to design and build AI-enabled development workflows, solve complex implementation challenges, and establish scalable patterns for AI-powered software development. As a manager, you will shape how these technical engagements operate at scale — setting strategy, coaching engineers, determining where the team can have the greatest impact, and ensuring consistently strong execution across customers. You will serve as both a people leader and senior technical advisor, partnering closely with Sales, Product, Research, and Engineering to translate customer needs and real-world usage into better technical approaches, reusable patterns, and product insights. Success in this role will be measured by meaningful and sustained Codex adoption, successful customer outcomes, and the creation of repeat

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

About the Team The Applied AI Engineering team partners closely with customers to help them turn frontier AI capabilities into real products, workflows, and business impact. We act as trusted technical partners across strategy, solution design, architecture, implementation, evaluation, and adoption, working alongside customers to build and scale effective AI applications with OpenAI’s technologies. The Digital Natives segment serves technology and software companies that are building AI into the core of their products and businesses. These customers are often highly technical, move quickly, and are among the earliest adopters of OpenAI’s newest capabilities. Our Applied AI Engineers work directly with their engineering, product, and technical leadership teams to identify high-impact opportunities, solve complex technical challenges, and bring ambitious AI applications into production. About the Role We are seeking a Manager, Applied AI Engineering (Digital Natives) to lead the team responsible for the technical success of our most strategic technology and software customers in the Americas. In this role, you will lead a team of Applied AI Engineers who work hands-on with customers to design, build, evaluate, and scale AI applications. You will help determine where deep technical partnership can unlock the greatest customer and business impact, while developing repeatable approaches that allow the team to support a broad and fast-moving customer segment. As a manager, you will set the strategy and operating model for the team, coach and develop engineers, and serve as a senior technical partner to customers and internal stakeholders. You will work closely with Sales, Product, Engineering, and Research to connect what we learn from customers with OpenAI’s product direction and help customers take advantage of our newest capabilities. Success in this role will be measured by meaningful production applications, sustained adoption and usage, strong customer outcomes, and

Linux System Administrator Alexandria, VA Secret clearance or higher The Test and Training Enabling Architecture (TENA) program at Leidos is looking to add a Linux System Administrator . Our mission is to develop tools for the United States Department of Defense test and training communities, to increase the speed of the development cycle, to get capabilities to the warfighter more rapidly. The Linux System Administrator will work within a team engineers, developers and system administrators, adding new capabilities to our enclaves, as well as ensuring the existing systems are secure and performing as intended. This position is required to work on-site in our Alexandria, VA office. Primary Responsibilities: Provide support for installing and maintaining Linux servers. Provide technical leadership for migrating on premise infrastructure to hybrid cloud solution. Provide support for troubleshooting from OS to application-level issues. Manage networking equipment including switches, routers and firewalls. Manage configuration and maintenance of core enclave infrastructure services including DCHP, DNS, e-mail, Apache Web Servers, Tomcat application servers, Atlassian applications, MariaDB database servers. Configure and monitor security tools required for DoD networks. Participate and contribute to design discussions related to improving the capabilities, performance and security posture of new and existing services. Basic Qualifications: US Citizen with at least an active Secret clearance. Bachelor’s degree with 4+ years of experience or a Master’s degree with 2+ years of experience. Additional experience may be considered in lieu of a degree. 4+ years of experience providing System Administration to DoD IT systems. DoD 8570 IAT level I

Define the physical limits of what a chip can do, then break them! NVIDIA's Silicon Co-Design Group sits at the crossroads of architecture, silicon, systems, and manufacturing, where first principles thinking translates directly into product outcomes at scale. As GPU power density and thermal limits approach physical boundaries, the gap between system architecture needs and manufacturable, testable capabilities widens with every generation, and this role exists to close it. You wouldn't be maintaining existing solutions, you'd be identifying where physical constraints will erode NVIDIA's competitive edge before anyone else sees it coming, then building the cross-domain responses that ensure the next generation leapfrogs those limits entirely. The problems here don't have known answers yet: Every generation of NVIDIA silicon pushes closer to the limits of physics. The Co-Design Architect role isn't about optimizing within known bounds; it's about redrawing those bounds entirely. If you want your work to shape what's physically possible in the world's most demanding computing products, this is where that work happens. What you'll be doing: Power, Thermal & Packaging Limits Analysis: Gather and analyze the hard constraints of packaging, power delivery, and thermal dissipation against roadmap demands, predicting when those constraints will reduce competitiveness and acting before they do. Cross-Domain Solution Development: Develop solutions that span silicon features, packaging innovation, firmware and hardware co-design, and DFX updates, ensuring future products are not only performant but testable to the highest quality and reliability standards. Packaging Technology Evaluation: Assess emerging packaging technologies for their voltage/frequency, noise, reliability, and testability implications, determining which are worth adopting an

At Citi Services - Global Trade and Working Capital Solutions (TWCS) Technology Organization, we are on a mission to harness the power of data to drive innovation, create exceptional customer experiences, and solve complex business challenges. Our data team is at the heart of this mission, building the scalable and resilient infrastructure that turns data into our most asset. We are a passionate, collaborative group dedicated to pushing the boundaries of what's possible. The Opportunity We are seeking an Engineering Director to join our development team. The ideal candidate is a seasoned technologist with extensive experience in building and delivering data & AI solutions for business functions. This individual will be directly and fully accountable for solution delivery and should have a history of creating strategic technology architecture roadmaps aligned with business outcomes. The successful candidate will define and execute the technology roadmap for the Data & AI portfolio of TWCS, providing strategic direction and critical input into technology decisions to ensure a scalable buildout. This role involves building strong relationships with senior business and technology partners, driving agile execution, and leading a team of expert engineers to deliver with velocity and quality. Applicants should demonstrate exceptional technical acumen, a strong data engineering background, and a proven ability to lead and provide technical direction to high-performing engineering teams. A proven expertise in Data Engineering, Data Analytics, and AI Engineering delivery at scale is essential. Responsibilities: Manage/develop multiple teams of professionals to accomplish established goals and conduct personnel duties for team (e.g. performance evaluations, hiring and disciplinary actions) as well as ensure team adheres to best practices and processes Develop vision for team aroun

About the Team The Technical Success team helps OpenAI’s customers realize meaningful and sustained value from our technology. We partner with customers throughout their journey—from initial exploration and solution design to production implementation and organization-wide adoption. Applied AI Engineers serve as trusted technical partners to customer executives, engineering teams, product leaders, security organizations, and transformation teams. They combine deep technical judgment with strong customer instincts, translating frontier AI capabilities into secure, reliable systems and durable business outcomes. About the Role We are seeking a Manager to build, lead, and develop a high-performing team of Applied AI Engineers supporting our enterprise customers. You will be accountable for the technical success of a broad and strategically important customer portfolio. You will help your team identify high-value opportunities, design and deploy production-grade AI systems, navigate complex technical and organizational constraints, and expand successful implementations across workflows, teams, and business units. This role requires technical depth, people leadership, customer judgment, and operational rigor. You should be comfortable coaching engineers through architecture and evaluation decisions, engaging directly in high-stakes customer situations, and collaborating with Sales, Solutions Engineering, Product, Research, Engineering, Security, and Legal. You will also help define how we serve enterprise customers at scale by developing effective coverage models, reusable implementation patterns, technical enablement, escalation mechanisms, and systems for turning field insights into high-quality product feedback. This role is open in our Singapore office. We use a hybrid work model of 3 days in the office per week and offer relocation assistance to new employees. In This Role, You Will Build, manage, and develop a high-performing team of Applied AI Engineers supporting