Principal Ai Systems Engineer Jobs

OKX will be prioritising applicants who have a current right to work in Singapore, and do not require OKX's sponsorship of a visa. Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. OKX is part of OKG, a group that brings the value of Blockchain to users around the world, through our leading products OKX, OKX Wallet, OKLink and more. About the Opportunity We are seeking an AI Infrastructure Engineer to design and build the foundational systems that power next-generation AI agents. This role sits at the intersection of research and production engineering, focusing on scalable long-term memory , knowledge graph infrastructure , and robust context management systems . You will transform cutting-edge research concepts (e.g., Context Graphs, GraphRAG, agent memory architectures) into auditable, maintainable, and production-grade infrastructure that enables reliable, stateful AI systems. What You’ll Be Doing Architect and implement long-term memory infrastructure for AI agents , including auditable, versioned, and rollback-capable middleware that supports persistent, stateful reasoning. Design and own end-to-end GraphRAG and knowledge graph pipelines , from ingestion and schema design to graph indexing, retrieval optimization, and integration with LLM-based reasoning systems. Build scalable context management inf

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software, and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers, and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary Reporting to the Validation leadership team, the Principal Execution and Quality Validation Engineer will be responsible for driving validation execution, automation, product quality, and release readiness across Graphcore silicon and platform technologies. The role combines deep expertise in hardware validation, test automation, and quality engineering with a strong focus on execution excellence. Working closely with architecture, design, verification, firmware, software, systems engineering, and validation teams, the successful candidate will develop scalable validation methodologies, improve test coverage and execution efficiency, and ensure products meet the highest standards of functionality, reliability, and performance before customer deployment. As a recognized technical leader within the validation organisation, this role will influence validation strategies, automation roadmaps, and quality practices across multiple projects and engineering disciplines. The Team The Validation Execution and Quality team sits within the Validation organisation and is responsible for improving validation effectiveness, te

About us Graphcore is one of the world’s leading innovators in Artificial Intelligence compute. It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. As part of the SoftBank Group, Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone. Graphcore’s teams are drawn from diverse backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. Job Summary We are seeking an experienced Principal Hardware Diagnostics Engineer to design and develop diagnostics software used to monitor hardware health and diagnose system-level issues across Graphcore’s AI infrastructure platforms. This role focuses on building diagnostics agents, tools, and analytics frameworks that enable engineers and automation systems to identify, isolate, and resolve hardware issues across blade-level servers and rack-scale clusters. The Team Graphcore is a globally recognised leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialised processing power needed to drive AI innovation, while delivering the efficiency required to support its broader adoption. The Systems Engineering and Platform Validation team ensures Graphcore’s AI compute platforms are reliable, diagnosable, and operationally robust at scale. The team co

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. Elastic Global Services team is responsible for building the highly available, scalable, multi-tenant “Cloud Services” platform that underpin Snowflake services. Areas we work on include, the autoscaling of VMs from cloud providers, managing topologies of our compute clusters, cluster management, workload orchestration and many others. We are looking at expanding our team to handle the next big challenges for Snowflake customers. Our product offering runs on multiple cloud providers including Amazon Web Services, Microsoft Azure and Google Cloud. Our infrastructure self-optimizes, provides high availability and data protection across cloud providers so our users can focus on using their data, not managing it. In our effort to enable our Data Cloud vision, we are actively hiring talented distributed systems engineers. This role is a unique opportunity to make a significant impact on our elastic, large scale, high-performance computing environment. To learn more about the team’s tech stack, see our recent talk at ACM Symposium on Cloud Computing! https://acmsocc.org/2022/assets/slides/99.pdf AS A PRINCIPAL SOFTWARE ENGINEER AT SNOWFLAKE YOU WILL: Solving real business needs at large scale by applying your software engineering and analytical problem solving skills. Design and

OUR MISSION At Redwood, we empower our customers with lights-out automation for their mission-critical business processes. ABOUT US Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations to intelligently automate and orchestrate mission-critical business and IT processes across complex ERP, hybrid cloud, data and emerging agentic AI systems. Through its SaaS-first automation fabric—with AI embedded across the automation lifecycle—Redwood accelerates the path to autonomous operations. Backed by 30 years of experience and trusted by more than 50% of the Fortune 50, Redwood helps organizations unlock human potential to focus on innovation, growth and what’s next. CORE VALUES One Team. One Redwood Make Your Own Weather Obsess over Customer Success Work the Problem Be Curious Own the Outcome Respect Each Other YOUR IMPACT As a Software Engineer – Principal, IBM i (AS/400) Connectivity, you will help build a new connectivity agent that extends Redwood RunMyJobs (RMJ) natively onto IBM i (AS/400), enabling Redwood to support some of the largest enterprise automation environments in the market. You will join a small, senior team building this capability largely from first principles, validating assumptions on live IBM i partitions and making architectural decisions where modern documentation may be limited. This position is open across levels from Software Engineer to Principal as we build out the team. Design, develop, test, and maintain native software supporting connectivity and integration with IBM i (AS/400) environments. Build native job submission and monitoring, spool file and message/data queue handling, and CL/RPG program invocation capabilities. Integrate IBM i functionality with the Redwood platform through clean, versioned extension points using native host server APIs and/or IBM Toolbox for Java (JTOpen/jt400

Zscaler (NASDAQ: ZS) accelerates digital transformation so customers can be more agile, efficient, resilient, and secure. The Zscaler Zero Trust Exchange platform protects thousands of customers from cyberattacks and data loss by securely connecting users, devices, and applications in any location. Distributed across 200+ public data centers globally and thousands of private sites at the edge, the SASE-based Zero Trust Exchange is the world’s largest in-line cloud security platform. We believe the future of work is Human + AI and are building an AI-native enterprise where human potential is amplified by machine intelligence to solve the world’s hardest security challenges. Driven by deep customer obsession, we are committed to the mission, outcome, and to each other. We bring these commitments to life through three core behaviors: ownership and collaboration, trust through outcomes and impact, and a challenge culture with ongoing feedback. Ready to make an impact at the company pioneering security transformation in the AI era? Join us at Zscaler. Role We are looking for a Technical Marketing Engineer (TME) to join our team. This is a Hybrid role, reporting to the VP, Product Management in the Product Management department. We are seeking a hands-on, self-starting Technical Marketing Engineer (TME) with deep networking expertise to drive technical enablement, customer validation, and field readiness for our next-generation Zero Trust Branch solutions. In this high-impact role, you will architect and maintain complex lab environments, lead hands-on Proof of Value (POV) customer engagements, and provide technical troubleshooting to resolve escalations. As the bridge between engineering and field teams, you will author comprehensive deployment guides, technical collateral, and test plans while delivering interactive training to systems engineers and partners. This is an ideal position for a practitioner who thrives on solving real-world enterprise networking challenges

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MD / VA WHAT YOU'LL DO Develop a real understanding of what drives

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Everpure (formerly Pure Storage) is hiring a Senior Pre-Sales Systems Engineer to support our Higher Education business, with a focus on R1 research universities. R1 institutions are not one customer. A single campus can behave like a dozen different organizations at the same time: central IT running enterprise applications, research computing and HPC teams, genomics and imaging cores, AI and machine learning labs competing for GPU time, an academic medical center with its own rules and its own budget, and faculty groups buying infrastructure directly with grant money. Decisions move through CIOs, research computing directors, principal investigators, sponsored programs offices, procurement, and consortium contract vehicles, often in parallel and not always in agreement. That environment rewards someone who can hold a lot of context at once, translate between very different audiences, and connect technology to the outcomes these institutions actually care about: time to result for researchers, compliance with sponsor and grant requirements, data that stays usable for a decade or more, and budgets that have to stretch further every year. You will be the technical lead on these accounts, working alongside account managers, specialists, and partners to build solutions customers can defend internally, both technically and financially. Location: MA / NY / PA WHAT YOU'LL DO Develop a real understanding of what drives ea

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. HBM Design Architecture — Principal Engineer Role Overview We are seeking a highly motivated HBM Design Architecture Engineer (Principal Engineer) to drive exploration and definition of next‑generation AI memory and system environments. In this role, you will analyze emerging infrastructure trends, build performance models, and develop/extend tooling that informs HBM architecture decisions and system‑level trade‑offs. You will work closely with architects and senior engineers across DTPCO, Design, and Product/System teams to translate AI workload requirements into actionable memory subsystem and architectural intercept strategies. Key Responsibilities You will own and contribute to projects such as: Research and synthesize emerging trends in compute, networking, and storage infrastructure to anticipate how future AI systems will evolve. Lead HBM architecture analysis by defining bandwidth/latency targets, identifying constraints, and translating workload and system data into actionable memory requirements. Develop and maintain simulation frameworks to model AI cluster performance and memory subsystem behavior; validate models against internal and external benchmarks. Build and apply first‑order performance models spanning HBM bandwidth/latency, GPU/CPU interactions, and memory hierarchy trade‑offs to guide architectural decisions. Create and curate trend dashboards using CSP benchmar

Lead AI Engineer (Senior/Principal Consultant) Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Lead AI Engineer (Senior/Principal Consultant) to join our Technology Delivery Team. You’ll combine your expertise in AI/ML engineering and software development to build and deploy cutting-edge generative AI and agentic systems across the financial services sector. As a hands-on leader, you’ll architect AI solutions, embed them within enterprise environments, and drive impactful outcomes through advanced engineering, scalable pipelines, and deep cross-functional collaboration. What You’ll Do Architect and develop autonomous AI systems integrating multi-modal LLMs (text, image, audio, video) Design agentic workflows enabling AI agents to interact with data sources and APIs using prompt engineering and RAG Fine-tune, optimize, and deploy large language and multi-modal models with a focus on performance and latency Build scalable MLOps pipelines and full-stack applications to support robust, production-grade AI deployments Guide multidisciplinary teams and clients through strategic decisions in AI engineering and GenAI adoption What We’re Looking For Bachelor’s degree or higher in Computer Science, AI, or related STEM fields Hands-on experience deploying LLMs and multi-modal models at scale Strong engineering background in Python with proven backend and API development skills Solid understanding of scalable MLOps, observability, and cloud-native AI deployment Excellent communication, problem-solving, and project management skills in agile environments Bonus Points For Experience with agentic frameworks (e.g., LangChain, LlamaIndex) Experience in deep learning frameworks and front-end development Familiarity with Langfuse, Langsmith, or other LLM observability tools Understanding of Model Context Protocol

Senior AI Engineer Location: London (Hybrid) | Practice Area : Technology & Engineering | Type: Permanent Empower the next frontier of AI with Capco. Shape, build, and deliver future-ready generative systems. The Role We’re looking for a Senior AI Engineer (Senior/Principal Consultant) to join our Technology Delivery team. In this role, you’ll combine deep expertise in AI/ML engineering and software development to design, build, and deploy advanced generative AI and agentic systems for leading financial services clients. You’ll work hands-on across the full AI engineering lifecycle, from architecting intelligent multi-agent systems to deploying scalable production-grade AI applications within enterprise environments. As a senior consultant, you’ll also collaborate closely with multidisciplinary teams and client stakeholders to drive innovation, accelerate adoption, and deliver measurable business impact. What You’ll Do Architect and develop autonomous AI systems leveraging multi-modal large language models across text, image, audio, and video Design and implement agentic workflows using prompt engineering, Retrieval-Augmented Generation (RAG), APIs, and enterprise data integrations Fine-tune, optimize, and deploy large language and multi-modal models with a focus on scalability, reliability, and low-latency performance Build scalable MLOps pipelines and cloud-native AI applications to support secure, production-grade deployments Collaborate with clients and cross-functional teams to shape AI engineering strategy and accelerate GenAI adoption across complex environments What We’re Looking For Bachelor’s degree or higher in Computer Science, Artificial Intelligence, Engineering, or a related STEM discipline Proven hands-on experience deploying LLMs and multi-modal AI models within enterprise or large-scale production environments Strong software engineering expertise in Python, including backend development, API design, and distributed systems Solid understan

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. About Our Team The AI Security team is a newly established organization within Micron's Cyber Defense & Resilience (CDR) group, reporting directly to the Deputy CSO. We provide AI and automation engineering expertise across CDR's security functions, partnering with Security Operations, Governance Risk & Compliance, Third-Party Risk, Security Awareness, and Security Architecture teams to strengthen the security of a global environment supporting 50,000+ employees and 100,000+ devices! Position Overview We are seeking a Principal AI Security Architect to serve as the senior-most technical authority for AI security within Cyber Defense & Resilience! This role will define and drive AI security strategy, be responsible for AI threat modeling and governance, lead AI-related incident response efforts, and act as the primary advisor to executive leadership on the secure use, defense, and response to emerging AI technologies and threats. Responsibilities Develop and own the AI security strategy, threat model, and roadmap for Cyber Defense & Resilience. Establish quarterly priorities for AI security initiatives and provide strategic direction across multiple security functions. Define risk classification criteria and review high-risk AI agent architectures, including systems with customer data access, autonomous decision-making, and external system integrations. Act as the lead coordinator for AI-related cybersecurity incidents, partnering with ent

Our vision is to transform how the world uses information to enrich life for all. Join an inclusive team passionate about one thing: using their expertise in the relentless pursuit of innovation for customers and partners. The solutions we build help make everything from virtual reality experiences to breakthroughs in neural networks possible. We do it all while committing to integrity, sustainability, and giving back to our communities. Because doing so can fuel the very innovation we are pursuing. As a Principal AI Product Owner at Micron Technology, Inc., you will report to the Smart Manufacturing and Artificial Intelligence organization within FE Procurement. The team defines, drives, and delivers end-to-end AI and agentic solutions across procurement and adjacent functions. You will own the AI product vision, strategy, and roadmap, applying industry-leading methodologies in data science, automation, AI, and agentic systems to enhance Micron's procurement, planning, and business processes. In this role, you will work with an internal team of Data Scientists and Data Engineers and engage functional executives, leaders, and external partners in the design, analysis, and implementation of AI solutions. You will be accountable for the full product lifecycle, from discovery through delivery, adoption, and realized impact, and will have the opportunity to build deep data fluency across procurement workflows. Most importantly, you will work closely with key stakeholders across FE Procurement to ensure positive impact and sustainable results from the Smart Manufacturing and AI solutions. Responsibilities and Tasks Own the AI product vision and roadmap across FE Procurement, Planning, and related functions; define outcomes, set priorities, and align th

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza

Our vision is to transform how the world uses information to enrich life for all . Micron Technology is a world leader in innovating memory and storage solutions that accelerate the transformation of information into intelligence, inspiring the world to learn, communicate and advance faster than ever. At Micron, our Technology Development team sits at the center of innovation. We build advanced modeling and AI solutions that shape how memory and storage technologies are designed, built, and scaled. Working at the intersection of physics, data, and engineering, we turn complex problems into practical breakthroughs that matter! This role is critical to how we accelerate semiconductor technology development using advanced AI and physics-based modeling. You will lead the design and deployment of agentic and LLM-powered solutions that directly influence process technology, packaging, and early manufacturing decisions. If you enjoy driving hard problems end to end and collaborating across hardware and software teams, this role offers real impact and visibility. Note: We are hiring for more than one role spanning Senior/Staff/Principal/Technical Staff Engineer. Responsibilities: Design and deploy physics-based, ML, and LLM-powered modeling solutions for semiconductor process, package, and manufacturing workflows Architect agentic AI systems that integrate with modeling tools, design automation environments, and fab/test platforms to enable digital twin development Define and promote best known methods for deploying LLMs and agentic systems reliably in production environments Evaluate and improve model performance using methods such as structured benchmarking, prompt tuning, RLHF, and feedback loops Translate modeling results into clear insights through data storytelling and visualiza