Solve Intelligence jobs

Senior Agentic AI Engineer Yerevan posted: Posted 30+ Days Ago

Business Intel Engineer, Multi Channel Fulfillment Seattle, Washington, USA Are you ready to lead innovations that impact millions of Amazon customers? Do you want to pioneer solutions in an unexplored space? If yes, we have an exciting opportunity for you! The ARCADE Science and Analytics team needs a Business Intelligence Engineer (BIE) to drive our analytical solutions. This team supports Multichannel Fulfillment (MCF), Amazon Supply Chain Solutions (ASCS), and Buy with Prime (BwP) businesses. We seek a BIE who will identify business opportunities through data-driven insights, create predictive models for supply chain optimization, and analyze customer behavior patterns. The ideal candidate will build and deploy analytical solutions at scale while collaborating with cross-functional teams. You should have statistical analysis expertise, proficiency in SQL and Python, and experience with data visualization. Your technical skills should be complemented by a good understanding of business metrics and KPIs. Industry experience in eCommerce, transportation, finance, retail technology, or logistics is preferred. Join our team of engineers and data scientists to transform how Amazon serves its customers through data-driven decisions. Key job responsibilities • Design, develop and maintain scaled, automated, user-friendly systems, reports, and dashboards enabling stakeholders to manage the business and make effective decisions. • Work with PMs in understanding the business requirements and implementing solutions to support analytics and reports. • Conduct ad hoc data analysis and data quality investigations. • Implement training and documentation solutions that enables stakeholders to get the most out of our self-serve reporting tools. • Develop and support

Software Engineer II Selection Monitoring, Selection Monitoring Bengaluru, Karnataka, IND Amazon's Selection Monitoring team is responsible for building and operating large-scale data processing systems that power catalog intelligence across Amazon. Our systems process billions of products from multiple data sources-both real-time crawler feeds and pre-computed datasets-to create comprehensive, high-quality product information that drives business decisions across Amazon. We apply parallel processing, machine learning, and deep learning algorithms to evaluate and enrich product data at global scale. The datasets and insights produced by our team enable teams across Amazon to make data-backed decisions that improve customer experience. Our work involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems that handle diverse data streams and automatically create structured entities from unstructured/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, streaming and batch processing technologies, Elastic Computing, Big Data, Artificial Intelligence, and service-oriented architectures to tackle challenges at Amazon's global scale. Come join us in our journey to build the data infrastructure that powers Amazon's catalog intelligence! We are looking for SDEs with strong technical knowledge, established background in engineering large-scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for system success and drive solutions from design to coding, testing, and deployment, to achieve results in a fast-paced environment. The SDE on this team will play a key role in solving complex problems and building innovative solutions that process and integrate data from multiple sources at scale.

Strategic Planning Manager, GenAI, DeepMind (Fixed-Term Contract) Mountain View, CA, USA; +2 more Within the GenAI (Generative AI) Strategy and Operations (StratOps) team, you will be at the forefront of the "Agentic Era." This role focuses on re-engineering core operational processes specifically headcount planning and OpEx management into self-supporting, AI-driven workflows. By developing advanced automation tools, you will optimize resource allocation, eradicate manual inefficiencies, and propel the organization toward its goal objectives. As a Strategic Planning Manager in GenAI, you will be responsible for the strategic planning, allocation, and optimization of financial (OpEx) and human capital (headcount) resources across DeepMind's GenAI unit. Artificial intelligence will be one of humanity's most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $163000 - $237000 (USD) + 15% bonus target Learn more about benefits at Google . Run day-to-day headcount planning, forecasting, and operational processes for the GenAI unit. Maintain a real-time source of truth for headcount grants, asks, and allocations. Design and

SDE-II, Alexa Subscriptions Growth Hyderabad, Telangana, IND We are constantly making Alexa the best personal assistant in the world. The Alexa Subscriptions Growth team in Hyderabad is hiring talented software engineers to build features for customer safety and subscriptions for Alexa. Join a team doing innovative work. Make a direct impact to customers, show measurable success, and build with the latest artificial intelligence systems. If you are holding out for an opportunity to: • Make a huge impact as an individual • Be part of a team of smart and passionate professionals who will challenge you to grow every day • Solve difficult challenges using your expertise in coding elegant and practical solutions • Create applications at a massive scale used by millions of people • Work with artificial intelligence systems to deliver real experiences And you are experienced with… • Writing highly efficient, testable, quality code written with Java, C++, or C# (or another excellent OO language) • Application scaling, resiliency, availability, and failover • Researching implementations to find the best possible experience for a customer • Taking ownership and doing whatever it takes to get the job done And you constantly look for opportunities to… • Innovate, simplify, reduce waste, and increase efficiencies • Use data to make decisions and validate assumptions • Automate processes otherwise performed by humans • Learn from others and help grow those around you ...then we would love to chat! A day in the life If you are looking for to solve unique

Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Design complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the team Amazon strives to be the world's most customer-centric company, where customers can research and purchase anything

Forward Deployed Engineer V, GenAI, Google Cloud Singapore As a Generative Artificial Intelligence (GenAI) Forward Deployed Engineer at Google Cloud, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customer environments. Unlike traditional advisory roles, you will function as a "builder-consultant," moving beyond architecture to code, debug, and jointly ship bespoke agentic solutions. This role is designed for high-agency engineers with a founder's mindset. You will solve the integration complexities, data readiness, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing "white glove" deployment and acting as a critical feedback loop for Google Cloud's future product roadmap. It's an exciting time to join Google Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll grow by leveraging Google's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Lead the "Discovery-to-Deployment" journey, serving as the lead developer for AI applications and transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems and MCP servers) that drive measurable

Senior Applied Scientist, Funnel Agentic Intel Seattle, Washington, USA Amazon Ads is building Ads Agent, an AI-powered agent that understands advertiser intent, reasons over campaign strategy, and executes across the full Amazon Ads portfolio. If you want to work at the frontier of agentic AI and large language models while directly impacting a multi-billion dollar business, this is your team. We are seeking an experienced Applied Scientist passionate about building intelligent agents that reason, plan, and act across complex advertising workflows. Ads Agent is an AI agent that simplifies how advertisers plan, launch, and optimize campaigns. Powered by AI, Ads Agent works alongside advertisers to automate time-consuming tasks, like identifying targeting segments, adjusting pacing across hundreds of campaigns, and generating SQL queries for advanced analytics. It also provides data-driven recommendations and simplifies analysis-all while providing transparency and control. With a broad mandate to experiment and innovate, we need applied scientists to define and build the future of advertising. Key job responsibilities - Design, build, and evaluate agentic systems that plan multi-step workflows, invoke tools, and take autonomous actions across Amazon Ads products on behalf of advertisers. - Define evaluation frameworks and benchmarks for agent reliability, correctness, safety, and advertiser satisfaction. - Analyze agent behavior through deep data analysis and rigorous A/B experimentation to identify failure modes, measure effectiveness, and derive business insights. - Partner with engineers, product managers, and UX designers to ship end-to-end agent experiences that are scalable, efficient, and reliable at Amazon scale. About the team We are

Trust and Safety Intelligence Analyst, Fraud and System Abuse Washington D.C., DC, USA Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. In this role, you will sit at the center of Google's trust and safety intelligence work, owning the strategic risk picture for how bad actors manipulate LLMs and exploit Google's products to deceive and financially harm users. You'll synthesize signal from across the company into a coherent view of where both threat landscapes stand today and where they're heading. You will convert disparate inputs into clear, decision-ready intelligence that shapes policy, enforcement, detection, and model evaluations. At Google we work hard to earn our users' trust every day. Trust & Safety is Google's team of abuse fighting and user trust experts working daily to make the internet a safer place. We partner with teams across

Principal Product Manager, AWS Neurosymbolic AI Seattle, Washington, USA The AWS Neurosymbolic AI team is pioneering the integration of formal reasoning and neural approaches to build AI systems that are not only powerful, but provably correct. We sit at one of the most compelling frontiers in computer science: the convergence of neural networks and symbolic reasoning, where large language models meet theorem provers, and where probabilistic intelligence meets mathematical certainty. Our mission is to make AI trustworthy at scale. We develop technology that enables AI systems to reason rigorously, verify their own outputs, and provide mathematical guarantees about their behavior. This is a fundamental shift in how AI systems are built, and we believe it's on the critical path to the next generation of safe, reliable AI-powered applications. We are one of the strongest concentrations of neurosymbolic AI talent in industry. Our team includes original contributors to the Lean theorem prover and is advised by Lean's Chief Architect. We bring together researchers and engineers from both the AI and formal methods communities, a combination that is extraordinarily rare and increasingly essential. We build on Amazon's 10+ year track record of bringing automated reasoning to production at scale. AWS pioneered the use of formal methods in cloud infrastructure, from network reachability analysis to cryptographic protocol verification to access policy reasoning, systems that serve hundreds of millions of customers today. Now we're taking the next giant leap: fusing that heritage with frontier AI to make every AI system verifiable, trustworthy, and safe.

Research Scientist, Robotics, DeepMind Cambridge, MA, USA We believe there are many problems in the world in which robotics could play a significant role in making it easier, faster and safer for people to get things done. We're looking for roboticists, designers, hardware and software engineers to help us explore these possibilities, develop breakthrough technologies, and build new products that could help millions of people. At Google DeepMind Robotics, we are pioneering the integration of AI into the physical world to power an era of physical agents. By enabling robots to perceive, plan, think, use tools, and act, we empower them to solve increasingly tasks. In this role, you will focus on building foundation models, such as advanced vision-language-action (VLA) models, which combine Gemini's world understanding with physical actions to provide direct robotic control. These include Gemini Robotics, our most advanced Gemini model for the physical world, and Gemini Robotics On-Device, our fastest Gemini model that functions without a data network. These models allow robots to perform a broad range of tasks, respond interactively to their environment, achieve high dexterity, and reason over long, multi-step sequences. Beyond model building, we are committed to advancing general-purpose robotics, specifically in areas like agentic reasoning, real-world understanding, action generalization, human-robot interaction, dexterity, whole-body control, and continual learning. To deploy these innovations at scale, you will partner with key robotics companies to bring this intelligence to the physical world across a broad array of applications. Artificial intelligence will be one of humanity's most transformative

Director, Enterprise Architecture & Intelligent Automation Remote, US GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. An overview of this role As the Director, Enterprise Architecture and AI Intelligent Automation (IA), you will define and govern how GitLab's internal systems connect, integrate, and evolve to support our rapidly scaling business. Reporting to

Member of Technical Staff, Multimodal Reasoning - Applied Science , AGI Autonomy San Francisco, California, USA Amazon has launched a new research lab in San Francisco to develop foundational capabilities for useful AI agents. We're enabling practical AI to make our customers more productive, empowered, and fulfilled. Our work leverages large vision language models (VLMs) with reinforcement learning (RL) and world modeling to solve perception, reasoning, and planning to build useful enterprise agents. Our lab is a small, talent-dense team with the resources and scale of Amazon. Each team in the lab has the autonomy to move fast and the long-term commitment to pursue high-risk, high-payoff research. We're entering an exciting new era where agents can redefine what AI makes possible. Key job responsibilities You will lead our efforts to improve the multi-model perception and reasoning abilities of our AI agent in an applied research role. Responsibilities including model training, dataset design, and pre- and post-training optimization. You will be hired as a Member of Technical Staff. Basic Qualifications: - 5+ years' experience building machine learning models - PhD or Master's degree in computer science or related field - Proficiency in Python, Java, C++, or related language - Experience with deep learning methods and tools, e.g., PyTorch, JAX Preferred Qualifications: - Background in scientific research with a proven ability to generate and implement new ideas in machine learning - Experience with post-training of large Vision Language Models (VLMs). - Willingness to step outside typical role boundaries to get things done

Engineering Analyst Manager, Account Security, Intelligent Defenses Lead Zürich, Switzerland Trust & Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, you're a big-picture thinker and strategic team-player with a passion for doing what's right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The main objective of the Trust and Safety (T&S) Account and Device Intelligence (ADI) team is to prevent damage to Google Users and products through accounts by effectively responding to threats and deploying upstream protections that are scalable and flexible. We rely on defense in-depth when protecting Google accounts. The team is currently divided into 3 subteams: Threats, this team is responsible for the qualitative and quantitative understanding, monitoring, assessment and response to an ever changing threat landscape, and using this to inform Google's strategy countering those threats. Protections team is responsible for policy design and implementation at sign-up/sign-in/reAuth, productionisation of detection models, and quality of challenges, verifications and interventions. Intelligent Defenses team is responsible for building foundational

AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Today

Associate Director, International Market Analytics and Business Intelligence, Oncology - Elahere Mettawa, IL, United States Company Description: About AbbVie AbbVie's mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people's lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com . Follow @abbvie on LinkedIn, Facebook , Instagram , X and YouTube. Job Description: This is an exciting opportunity to join a dynamic team in rapidly evolving marketplace. The IMABI role is a strategic partner for internal partners/stakeholders, leveraging data, secondary analyses, and primary market research to make informed and operational decisions. They will be the lead International Market Analytics and Business Intelligence (IMABI) voice on commercial teams and will facilitate business insights and develop actional recommendations that drive key business needs and objectives. Most importantly, this role represents the voice of the customer to enable better outcomes for patients. The Elahere team is preparing for launch in earlier line indications and therefore, a successful candidate will need to demonstrate how they can hit the ground running to help the team prepare for upcoming critical touchpoints. Key responsibilities include independently identifying key business questions and leading Business Intelligence planning, implementation, communication of the results and alignment of brand strategies and strategic plans. The Associate Director does not

Senior AI Engineer (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

Account Executive Australia - Sydney; Australia - Melbourne Account Executive - Tableau & Analytics We help people see, understand, and act on data. As part of Salesforce, Tableau is transforming how organisations make decisions by bringing insights directly into the flow of work. We are leading the next frontier of business intelligence, where AI-powered analytics makes data more accessible, conversational, and predictive for everyone-not just the experts. We are looking for an Account Executive who is ready to help our customers transition from simply viewing data to using it as a strategic, intelligent asset. Day to Day: You will be the strategic lead for your territory, partnering with organisations to modernise their data strategy. You will position Tableau as the essential layer of intelligence that helps customers make sense of their entire business landscape. Strategic Territory Leadership: Create and execute account plans that align our advanced analytics and AI capabilities with the customer's core business objectives. Driving Intelligent Outcomes: Meet and exceed sales goals by identifying opportunities where AI-driven insights can solve complex problems and create tangible ROI. Orchestrating the Team: Lead a matrixed "squad" of Sales Consultants, Marketing, and Success professionals to deliver a unified, high-value experience to the customer. Navigating the Complex: Manage the end-to-end sales cycle-from prospecting and lead qualification through to negotiation and closing. Operational Excellence: Use the Salesforce platform to manage your pipeline with precision, ensuring accurate forecasting and data integrity. Customer Advocacy: Develop a deep understanding of industry challenges to ensure our customers are

Python Engineer, Agentic AI DC - Washington, 1325 G ST NW STE 300 posted: Posted 11 Days Ago

Software Engineer II, Selection Monitoring Bengaluru, Karnataka, IND Amazon's Selection Monitoring team is responsible for building and operating large-scale data processing systems that power catalog intelligence across Amazon. Our systems process billions of products from multiple data sources-both real-time crawler feeds and pre-computed datasets-to create comprehensive, high-quality product information that drives business decisions across Amazon. We apply parallel processing, machine learning, and deep learning algorithms to evaluate and enrich product data at global scale. The datasets and insights produced by our team enable teams across Amazon to make data-backed decisions that improve customer experience. Our work involves building state-of-the-art data processing pipelines and Information Retrieval (IR) systems that handle diverse data streams and automatically create structured entities from unstructured/semi-structured data. We constantly stretch the boundaries of large-scale distributed systems, streaming and batch processing technologies, Elastic Computing, Big Data, Artificial Intelligence, and service-oriented architectures to tackle challenges at Amazon's global scale. Come join us in our journey to build the data infrastructure that powers Amazon's catalog intelligence! We are looking for SDEs with strong technical knowledge, established background in engineering large-scale software systems, and passion for solving challenging problems. The role demands a high-performing and flexible candidate who can take responsibility for system success and drive solutions from design to coding, testing, and deployment, to achieve results in a fast-paced environment. The SDE on this team will play a key role in solving complex problems and building innovative solutions that process and integrate data from multiple sources at scale. Candidates need

Senior Language Engineer, Artificial General Intelligence - Data Services Boston, Massachusetts, USA The Amazon Artificial General Intelligence (AGI) Data Services organization is responsible for developing diverse datasets to train and evaluate the Amazon AI models. We are looking for Senior Language Engineers to join our science and engineering team to support the development of complex, multimodal datasets, using a range of approaches including synthetic data generation, model-supported data generation, and human-in-the-loop data collections. You will play a critical role in driving innovation and advancing the state-of-the-art in evaluating and training AI models. You will work closely with cross-functional teams, including product managers, engineers, and data scientists to ensure that our AI systems are best in class. Key job responsibilities - Define and lead the organization's data creation strategies for our science partners - Design and lead complex data collections with human participants in response to science needs: author instructions, define and implement quality targets and mechanisms, provide day-to-day coordination of data collection efforts (including planning, scheduling, and reporting), and be responsible for the final deliverables - Design and conduct complex data creation tasks using synthetic and model-based data generation methods, following state-of-the-art approaches - Analyze and extract insights from large amounts of data - Build tools or tool prototypes for data analysis or data creation, using Python or another scripting language - Use modeling tools to bootstrap or test new AI functionalities - Collaborate with scientists, software engineers, and other data creators to evaluate performance of AI models About the

System Engineer (Generative AI - Salesforce Tech), COE Tech Bengaluru, Karnataka, IND Join Amazon COE Tech as an AI Engineer L4 and help build next-generation AI-powered products and intelligent automation solutions that drive business transformation at scale. This role provides an opportunity to work on cutting-edge Generative AI technologies, cloud-native architectures, and enterprise platforms including Salesforce and AWS. As an AI Engineer, you will design, develop, and implement scalable AI/GenAI solutions, integrate LLM-powered capabilities into enterprise workflows, and contribute to innovative products that improve productivity, insights, and customer experiences. We are looking for someone who is passionate about AI innovation, experimentation, and solving complex business problems using modern technologies. Key job responsibilities Design and develop AI/GenAI-powered applications and intelligent workflows Build integrations between AI platforms, AWS services, and Salesforce ecosystems Develop scalable APIs, backend services, and automation frameworks for AI solutions Work with LLMs, prompt engineering, embeddings, vector databases, and orchestration frameworks Collaborate with cross-functional teams to identify AI-driven business opportunities Implement secure, scalable, and high-performing cloud-native solutions on AWS Optimize AI model performance, response quality, and operational efficiency Stay updated with emerging AI technologies and drive innovation initiatives across the organization A day in the life As an AI Engineer L4 in Amazon Sales Tech, you will build scalable solutions across AWS, Salesforce, data platforms, and Generative AI technologies. Your day may involve developing APIs, automating workflows, designing intelligent AI-powered features, and integrating large-scale data systems. You will collaborate with engineers, product managers, and business stakeholders to solve complex

ADC Engineer, S3 ADC , S3+Glacier Unique Regions Seattle, Washington, USA This is an exciting opportunity to use the latest cloud computing technologies to help U.S. Intelligence Community agencies implement innovative cloud computing solutions and solve technical problems. AWS built a specialized group of service teams responsible for the work we are doing with the U.S. Intelligence Community. Engineers on these teams implement innovative cloud computing solutions and solve technical problems. Amazon Simple Storage Service (S3) is storage for the Internet. Through the use of pioneering techniques in distributed computing, developers are able to durably store their data on Amazon's proven computing infrastructure to achieve virtually limitless storage capacity at minimal cost. Amazon S3 provides a simple web services interface that can be used to store and retrieve any amount of data, at any time, from anywhere on the web. It gives any developer access to the same highly scalable, reliable, secure, fast, inexpensive infrastructure that Amazon uses to run its own global network of web sites. The service aims to maximize benefits of scale and to pass those benefits on to developers. The S3 Engineering team is responsible for maintaining and improving our government customer's cloud storage solutions by reacting to operational incidents while also delivering new and exciting S3 features. We're looking for an Engineer to join our team and be based in Seattle, WA. We're looking for innovative engineers for the largest storage service on the internet. This position is perfect for professionals interested in creating tools

Senior AI Engineer WARSAW DOWNTOWN OFFICE posted: Posted 23 Days Ago