Knowledge And Data Architect Jobs

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Global Lead, GTM Strategy and Planning will work as part of the Revenue Operations leadership team, reporting to the SVP Revenue Operations. This role is the strategic architect of Celonis' annual and multi-year GTM planning processes, coordinating across Sales, Marketing, Value Engineering, Services, Finance, and the broader business to ensure aligned, balanced, and executable go-to-market strategy. This person is responsible for ensuring our GTM investments, resource allocation, and organizational structure are optimized to drive sustainable growth and performance. The Role: This role owns the design and execution of our integrated GTM planning processes. You will lead comprehensive territory planning, segmentation strategy, role definition, and resource allocation exercises that balance growth objectives with sustainable unit economics. You will be the custodian of our GTM ratios and thought leader on how we structure our go-to-market. You will design and maintain the planning systems and frameworks we use to make decisions, while also being comfortable working offline and with custom modeling to stress-test plans and guide strategic decisions. You will coordinate senior stakeholders across the business to build con

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team: The Global Lead, GTM Strategy and Planning will work as part of the Revenue Operations leadership team, reporting to the SVP Revenue Operations. This role is the strategic architect of Celonis' annual and multi-year GTM planning processes, coordinating across Sales, Marketing, Value Engineering, Services, Finance, and the broader business to ensure aligned, balanced, and executable go-to-market strategy. This person is responsible for ensuring our GTM investments, resource allocation, and organizational structure are optimized to drive sustainable growth and performance. The Role: This role owns the design and execution of our integrated GTM planning processes. You will lead comprehensive territory planning, segmentation strategy, role definition, and resource allocation exercises that balance growth objectives with sustainable unit economics. You will be the custodian of our GTM ratios and thought leader on how we structure our go-to-market. You will design and maintain the planning systems and frameworks we use to make decisions, while also being comfortable working offline and with custom modeling to stress-test plans and guide strategic decisions. You will coordinate senior stakeholders across the business to build con

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. For more than 43 years, Micron Technology has delivered world‑leading memory and semiconductor solutions. As an HBM Memory Design Engineer on the HBM Architecture Team, you will design, simulate, optimize, and floorplan advanced DRAM circuits for next‑generation High Bandwidth Memory products. You will work across digital, analog, and mixed-signal domains to ensure functional correctness, performance, and power efficiency. Your role includes collaborating with globally distributed teams developing modern HBM solutions for AI and ML applications. Responsibilities • Design, simulate, and optimize DRAM memory arrays, data paths, ECC, command/control logic, and high‑speed interface circuits • Evaluate block‑level and full‑chip functionality and propose solutions to ensure functional correctness • Analyze timing, area, power, and complexity trade‑offs in high‑speed DRAM and mixed‑signal designs • Perform pathfinding and feasibility studies for new architectures and future HBM products • Contribute to the design, layout, and optimization of memory, logic, and analog circuits • Support large‑scale verification, debug, and silicon validation activities • Collaborate across multi-functional teams involved in TSV‑based 3D stacking and vertical integration • Participate in design reviews and drive continuous improvement of design methodologies Minimum Qualifications • BSEE with 7+ years or MSEE with 5+ years of relevant engineering experience • Strong knowledge of

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. We are seeking a highly skilled professional to join our team, focusing on advancing through innovative AI solutions. The successful candidate will develop and refine Large Language Models (LLMs) to extract actionable insights, improve business decision-making, and optimize prompt design for more accurate outputs. Additionally, the role includes creating scalable and robust LLM/RAG frameworks tailored to customer service scheduling, fostering innovation and maintaining a competitive market edge. This role is 100% Remote, Work from Home based. Responsibilities Own the full LLM pipeline from data preparation to production real case usage. Design, iterate and optimize prompts (zero-/few-shot, chain-of-thought, tool-calling, etc.) to maximize model utility and safety across products and languages. Build and maintain Retrieval-Augmented Generation (RAG) QA/search systems that connect to multi-source knowledge bases. Familiar with vLLM/SGLang inference architectures and have proven experience deploying and operating LLM services on multi‑GPU or cluster environments. Design, implement and operate multi‑agent LLM architectures (e.g. LangGraph, CrewAI, AutoGen) including task decomposition, agent orchestration, memory sharing and tool‑calling workflows. Develop eval

NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences. You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally. What you’ll be doing: Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows. Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure. Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences. Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications. Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability. Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies. Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience. Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices. What we need to see: <

We are looking for a passionate and energized engineer to accelerate the integration of APIs across the CUDA-X math library software stack into modern LLM and agentic AI workflows. Leading organizations globally are using GPU-powered data centers for AI, data analytics, and scientific simulations, driving advancements in fields like LLMs, computer vision, CAE, EDA, and autonomous vehicles. Our team develops the GPU-accelerated libraries and SDKs essential for these technologies. In this role, you will be responsible for ensuring both human engineers using LLMs and AI agents alike to build high-performance applications with ease through effective utilization of CUDA-X libraries. Do you have the rare blend of technical, developer experience and communication skills? If so, we would love to learn more about you! What You'll Be Doing: Drive the architecture and implementation of math libraries APIs and documentation structures designed to be LLM-first: introspectable, explainable, and easily synthesized by AI agents. Work with internal and external stakeholders to deliver timely LLM-enhanced library releases. Build metrics, tools and processes to measure impact and quality of LLM/agentic code generation. Prototype tooling and solutions to help transform math libraries’ APIs into LLM-friendly representations across popular codegen tools. What We Need To See: PhD or MSc’s degree in Computational Science, Computer Science, Applied Math, or related science or engineering field of study is preferred (or equivalent experience) 3&#43; years of experience Robust knowledge of LLMs, finetuning, RL, building RAGs, MCP, and building agenting tooling Proven experience designing clear, composable APIs and writing high-quality, well-documented code for complex technical domains Ability

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 Technology, we transform how the world uses information to enrich life for all. The Heterogeneous Integration Group (HIG) develops next-generation High Bandwidth Memory (HBM) solutions that enable advanced AI, high-performance computing, data center, and networking applications. Our team collaborates across architecture, RTL design, verification, physical design, firmware, and product engineering to deliver innovative memory-centric SoC solutions that meet demanding power, performance, area, quality, and schedule objectives. As an HBM SoC Design Engineer/Architect, you will contribute to the design, integration, and validation of advanced HBM logic die and memory-centric SoCs. Working alongside experienced engineers, you will apply knowledge gained through academic coursework, research, internships, and engineering projects to solve real-world semiconductor design challenges. This role offers opportunities to develop expertise in digital design, ASIC development, HBM architecture, and AI-enabled engineering methodologies that improve design productivity and quality. Responsibilities Design, implement, and integrate digital logic and subsystem RTL using Verilog or SystemVerilog for next-generation HBM SoC solutions. Collaborate with architects and multi-functional engineering teams to translate functional requirements into microarchitectures, interface definitions, and implementation plans. Support design-quality activities including simulation, synthesis, static timing analy

We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Team Description MongoDB seeks an experienced Senior Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. Our ideal candidate: - Has 6+ years of professional software engineering experience - Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) - Strong technical judgment and the ability to independently solve complex engineering problems - Excellent communication skills and comfort collaborating across teams and disciplines - Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet - Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) - Has the ability to iterate fast, specially in the case where requirements are not clear - Keeps up with emerging AI tooling and models, not just what's already mainstream - Collaborative, detail-oriented, and passionate about building reliable, usable software Bonus Round: - Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines - Experience designing systems or services used by other engineers or teams - Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React - Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) - Familiarity with transformer architecture and model internals - Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: - Design and run experiments that test emerging AI capabilities against real internal use cases, before

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role As an engineer on this team, you'll sit at the intersection of IT and facilities. You'll build the power models, availability models, topology and load management requirements that operate more efficiently against our physical envelope. Your work will directly shape which sites we lease, what SLAs we sign, how far we oversubscribe, and where workloads are placed. What You'll Do Topology and load management. Own the power and cooling topology of our fleet as a living dataset, validate it and its telemetry against how the buildings really behave, and define how load management behaves under failure across chips and capacity providers, from requirements through commissioning and incident support. Reliability modeling. Build and audit availability models of data center electrical and mechanical systems, define Cloud availability zones and failure domains, from a single site to the whole fleet. Power modeling and load forecasting. Build models of power draw from chip to rack to facility, by workload and hardware generation, and use them to set capacity planning targets, design envelope, and load forecasting. Partner diligence. Work with data center developers, operators, cloud providers and chip vendors to drive design improvements and hold them to SLA-grade performance, with technical diligence on their architectures, reliability studies, rack power specifications and operator interfaces. What We're Looking For Deep knowledge of data center power distribution and cooling architectures, redundancy schemes, and how they interact with IT load profiles. Depth in at least one of: reliability engineering, power modeling and

MongoDB seeks an experienced Software Engineer to join Enterprise Architecture on a focused team dedicated to AI experimentation. You'll partner with teams across the organization, including Internal Engineering, to explore, prototype, and validate emerging AI capabilities before they become formal roadmap priorities. We are looking to speak to candidates who are based in Gurugram for our hybrid working model. Our ideal candidate: Has 2-5 years of professional software engineering experience Deep experience with at least one modern programming language (Python, Typescript, Go, Rust, etc.) Strong technical judgment and the ability to independently solve complex engineering problems Excellent communication skills and comfort collaborating across teams and disciplines Comfortable operating in ambiguity, scoping and running experiments when the right approach isn't known yet Hands-on experience prototyping with LLMs or agentic systems (evals, fine-tuning, RAG, tool use, orchestration frameworks) Has the ability to iterate fast, specially in the case where requirements are not clear Keeps up with emerging AI tooling and models, not just what's already mainstream Collaborative, detail-oriented, and passionate about developing usable software Bonus Round: Experience building and maintaining full-stack applications, from front-end UIs to backend API to data pipelines Experience designing systems or services used by other engineers or teams Knowledge of any of the following technologies: Tanstack Start, Next.js, FastAPI, React Experience with model evaluation frameworks, vector databases, or agent orchestration tooling (e.g., LangGraph) Familiarity with transformer architecture and model internals Familiarity with containerized applications, Kubernetes, and ability to design CI/CD pipelines Position Expectations: Design and run experiments that test emerging AI capabilities against real internal use cases, before they're formally prioritized. Condense the learnings of those

Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team The Team is part of the Orchestration Engine & Actions organization mainly focused on user-facing operational interfaces, data visualization, and interactive action triggers. The Orchestration Engine & Actions organization is dedicated to building intuitive, reliable, and high-performance user interfaces that allow customers to manage complex, critical operational workflows. Our team focuses on developing rich web applications that enable seamless execution and monitoring of operational use cases, ensuring clarity, automation, and flexibility for our users. We work closely with product managers, UX/UI designers, and backend engineers to deliver impactful frontend solutions. The Role As a Senior Frontend Software Engineer, you will play a key role in designing, building, and maintaining sophisticated, intuitive user interfaces using modern Angular. You will take ownership of client-side architecture, component libraries, and frontend performance to ensure exceptional user experiences. You will collaborate closely with product managers, UX/UI designers, and backend engineers to turn complex workflow requirements into responsive, interactive web applications. Your experience in modern web development, state management,

Secure Every Identity, from AI to Human Identity is the key to unlocking the potential of AI. Okta secures AI by building the trusted, neutral infrastructure that enables organizations to safely embrace this new era. This work requires a relentless drive to solve complex challenges with real-world stakes. We are looking for builders and owners who operate with speed and urgency and execute with excellence. This is an opportunity to do career-defining work. We're all in on this mission. If you are too, let's talk. Technical Architect: Company Description Okta is the leading independent identity partner. We enable organizations to securely connect the right people and technologies, providing identity solutions that protect workforce and customer identities across a rapidly evolving technology landscape. The P0 Threat Research organization operates at the intersection of adversary research, threat hunting, detection engineering, data science, and product innovation. Our mission is to understand modern adversaries better than anyone else and make that knowledge actionable for our customers and products. Position Description Architect, Threat Research will help define and drive the technical vision for Okta's threat research efforts. This role is focused on understanding how modern adversaries operate, developing new methodologies for discovering and analyzing attacker behavior, and translating that research into actionable outcomes for our customers and products. Initial areas of emphasis include identity, cloud, SaaS, AI, and other emerging technologies, but success in this role is rooted in deep threat research expertise and the ability to rapidly develop expertise in new technologies and attack surfaces. The Architect will serve as a senior technical leader within the Threat Research organization. This individual will work closely with threat researchers, threat hunters, detection engineers, data scientists, product teams, engineering teams, and other senior t

Join the MongoDB Networking & Observability team and help build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features. Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database. Recently, we’ve improved connection handling, explored new networking architectures, and integrated OpenTelemetry to make issues easier to diagnose and connect MongoDB to modern observability tools. We are planning to further improve our networking’s stack performance, availability and scalability as well as further enhance our observability stack using open observability frameworks. Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together. This role will be based remotely in Canada. Candidate Profile 3+ years of experience building distributed systems Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Hands-on experience with building production-level code. Experience in C++ is required Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability of SaaS Solid verbal and written communication skills and highly motivated to collaborate with colleagues Position Expectations Understand and improve the current funct

Join the MongoDB Networking & Observability team and help build the core of a distributed database! Our team focuses on creating and enhancing components which facilitate communication between distributed processes and make these processes, and their communication, easily observable. Networking Observability’s responsibilities include improving MongoDB networking, improving the efficiency of resource utilization, and building low-overhead observability features. Our team includes engineers located in New York City and fully remote engineers. We operate close to the bottom of the stack, and have a lot of influence over the availability, performance, and robustness of our open source database. Recently, we’ve improved connection handling, explored new networking architectures, and integrated OpenTelemetry to make issues easier to diagnose and connect MongoDB to modern observability tools. We are planning to further improve our networking’s stack performance, availability and scalability as well as further enhance our observability stack using open observability frameworks. Are you excited to help the MongoDB engineering team build a better database? We are! Join us today, and we can build a faster, more reliable, exceptionally observable, database system together. This role can be based out of our New York City office or remotely within the United States and Canada. Candidate Profile 3+ years of experience building distributed systems Passionate about delivering and deploying a product with cross-team stakeholders Solid computer science fundamentals, with strong competencies in data structures, algorithms, and software design/architecture Hands-on experience with building production-level code. Experience in C++ is required Interest in furthering their knowledge of networking, observability and how computer architecture and internals impact the availability of SaaS Solid verbal and written communication skills and highly motivated to collaborate with colleagues Po

Overview: Guidepoint is investing in applied AI across its research platform. We're building conversational AI systems that interact with our global expert network at scale — combining real-time voice, LLM-driven orchestration, and retrieval over large proprietary datasets. You'll be an early engineer on a new initiative: taking working prototypes to production and shaping the architecture as the product scope grows. This is a hands-on role with broad ownership, close to product and leadership. This role is hybrid in our Toronto Office What You'll Do: Real-time conversational AI: voice- and chat-based agents with low-latency requirements, built on modern telephony and real-time media infrastructure. LLM orchestration: agentic systems that pursue goals over multi-turn conversations, with hard behavioral guarantees enforced in code — not just prompts. Multi-channel session management: stateful user interactions that move seamlessly across channels. Retrieval and grounding: connecting LLM systems to large internal knowledge assets, with structured data flowing back. Evaluation infrastructure: measuring conversational quality against human baselines and gating rollouts on metrics, not vibes. Own services end-to-end: design, implementation, deployment (Kubernetes/Azure), and operations, including latency-sensitive real-time workloads. Design and tune LLM pipelines: context engineering, structured outputs, model selection, cost/latency tradeoffs across vendors. Build the eval loop and treat quality as a number: define metrics, run experiments, gate releases on them. Integrate third-party AI and voice vendors behind clean abstractions so providers stay swappable. Partner with product and compliance stakeholders to encode domain rules into the system. Set engineering patterns for a growing team: code review, observability, incident habits. What You Have: 6+ years of software engineering, with 2+ years building LLM-powered products in production (not notebooks): orchestratio