Observe.ai jobs

Lead AI and Computer Vision specialist (f/m/d) IT-FI-FLORENCE-VIA FELICE MATTEUCCI 2 posted: Posted Yesterday

Principal Engineer - Agentic AI PA - Philadelphia, 1800 Arch St posted: Posted 30+ Days Ago

Low Observables Design, Analysis, & Test Engineer US-AZ-TUCSON-827C ~ 1151 E Hermans Rd ~ BLDG 827C (External Site) posted: Posted 30+ Days Ago

Applied Science Manager III, RBKS AI Toronto, Ontario, CAN The RBKS AI team is responsible for innovating AI features for Ring and Blink cameras, with a mission to make our neighborhoods safer. We are working at the intersection of computer vision, generative AI (GenAI), and ambient intelligence. The team is seeking Applied Science Manager to lead initiatives that combine advanced computer vision and multimodal GenAI capabilities. This role offers a unique opportunity to lead a world-class team while shaping next-generation home security technology and advancing the field of AI algorithms and systems. The team is focused on productizing research in computer vision and GenAI into products that benefit millions of customers worldwide, such as real-time object detection, video understanding, and multimodal LLMs. We are at the forefront of developing AI solutions that seamlessly blend into our products while respecting privacy, delivering unprecedented levels of intelligent security experience. Key job responsibilities - Lead and guide a team of applied scientists in designing and developing advanced computer vision and GenAI models and algorithms for comprehensive video understanding, including but not limited to object detection, recognition and spatial understanding - Drive technical strategy and roadmap for privacy-preserving CV and GenAI models and systems, ensuring the team delivers efficient fine-tuning and on-device and in-cloud inference solutions - Partner with product and engineering leadership to translate business objectives into technical roadmaps, and ensure delivery of high-quality science artifacts that ship to products - Build and maintain strategic partnerships with science, engineering, product, and program management

Forward Deployed Engineer, GenAI, Google Cloud (Japanese, English) Tokyo, Japan In this role, you will be an embedded builder who bridges the gap between frontier Artificial Intelligence (AI) products and production-grade reality within customers. You will manage blockers to production including solving the integration issues, data readiness issues, and state-management tests that prevent AI from reaching enterprise-grade maturity. You will be providing deployment of AI systems and act as a feedback loop, transforming real-world field insights into 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 excel 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. Serve as a developer for Artificial Intelligence (AI) applications, transitioning from prototypes to production-grade agentic workflows (e.g., multi-agent systems, Model Context Protocol (MCP) servers) that drive Return on Investment (ROI). Architect and code the connection between Google's AI products and customer's live infrastructure, including Application Programming Interfaces (APIs), legacy data silos, and security perimeters as part of a team. Build evaluation pipelines and observability frameworks to ensure agentic systems

GDB/X - Junior Agentic AI Engineer (m/f/d) Country / Location India Junior Agentic AI Engineer OrgCode: GDB/X Product Team: Intelligent Automation Responsibilities: - Create Agent Tools: Write Python functions and API wrappers that allow our agents to perform actions (e.g., "Look up material price in SAP"), following the MCP standard. - Maintain Quality: Write comprehensive unit tests and "Evals" (using LLM-as-a-Judge) to ensure our agents are accurate, safe, and helpful. - Support Operations: Monitor agent performance using our observability tools, helping to identify and fix issues like hallucinations or failed API calls. - Build & Test Agents: Develop specific domain agents (e.g., "HR Policy Assistant", "IT Ticket Classifier") using our pre-validated Blueprints and Azure AI Foundry. - Learn & Grow: Rapidly upskill on AKS, Databricks, and LangGraph, moving from building simple chatbots to complex autonomous systems under the mentorship of senior team members. Qualifications: - Foundational Skills: Strong grasp of Python programming. You know your way around data structures, APIs (REST), and basic version control (GitHub). - AI Curiosity: You have experimented with LLMs (OpenAI API, Hugging Face) and understand the basics of Prompt Engineering and RAG. - Tech Savvy: Familiarity with Docker and basic cloud concepts (Azure/AWS) is a big plus. - Mindset: You are a fast learner who isn't afraid to break things in a sandbox to understand how they work. You are passionate about how AI can solve real-world problems. - Team Player: You communicate c

Senior AI Solutions Engineer 6 Locations posted: Posted 17 Days Ago

DevOps Lead for Data Management Region Europe | Country Bulgaria | Internal Posting Location Sofia We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What You'll Build Join our mission to revolutionize enterprise data transformation through cutting-edge AI and intelligent automation. As a DevOps Lead, you'll be the technical architect behind the deployment, scaling, and operational excellence of our AI-powered Data Management platform - orchestrating the infrastructure that enables seamless AI-assisted migrations from legacy SAP ERP systems to S/4HANA Cloud. Your expertise in cloud-native DevOps, CI/CD automation, and platform engineering will directly power the reliable, scalable foundation that supports our AI agents and data transformation solutions across enterprise environments. You'll lead DevOps initiatives across multiple teams. Operating within SAP's ecosystem you'll architect sophisticated CI/CD pipelines, implement comprehensive observability solutions, and ensure adherence to SAP's rigorous SLA/SLO standards and best practices. Your work will be the operational backbone enabling thousands of organizations worldwide to

Principal Machine Learning Engineer - Evisort AI 6 Locations posted: Posted 2 Days Ago

Expert AI Engineer Country India | Internal Posting Location Bangalore We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. What you'll build: Product Development: Design, develop, deploy, evaluate, optimize & scale (multi) agent AI solutions for real-world business challenges Architect & integrate APIs to build agent flows, LLM orchestration, & multi-agent systems using LangChain, CrewAI, AutoGen, Google-ADK Build & scale CI/CD, AgentOps pipelines for managing the E2E agent lifecycle monitoring, evaluation & continuous improvement using LLM Judge concepts and AgentOps frameworks, e.g., MLFlow 3.0, LangFuse Ensure reliability, observability and compliance of deployed AI solution Collaboration: Ensure the balance of priorities, “doing the right things”, while ensuring quality and maintainability “doing things right” Collaborate with stakeholders to identify key opportunities for autonomous agent solutions across the organization Take full responsibility for achievement of the squad's goals Adhere to the standards set by architects, security & other SMEs Support other members in the same squad Continuous Im

Senior AI Ops Engineer Fort Belvoir, VA posted: Posted 30+ Days Ago

Senior Applied Scientist, Amazon AWS Agentic AI, AWS AI Fundamental Research Santa Clara, California, USA Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners and applied scientists who work backwards from customer needs to create novel technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. Key job responsibilities The Senior Applied Scientist will lead the

Senior Site Reliability Engineer I Boston, Massachusetts, United States Join Axon and be a Force for Good. At Axon, we're on a mission to Protect Life. We're explorers, pursuing society's most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other. Life at Axon is fast-paced, challenging and meaningful. Here, you'll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter. Your Impact Are you an engineer who gets excited about the challenge of making complex distributed systems observable - not just instrumenting them, but designing the infrastructure that makes traces, metrics, and logs useful at scale? In this role, you will help build and evolve Axon's next-generation observability platform, enabling the entire engineering organization to understand and operate their services with confidence. You'll work across the full observability stack: from distributed tracing adoption (OpenTelemetry, Jaeger) to log infrastructure (Loki, Alloy) to metrics (Cortex, Prometheus, Grafana). You'll partner directly with Axon's engineering teams to drive adoption of modern observability practices and build the tooling that makes our platform self-service for the teams that depend on it. You will be part of the Observability team within Axon's Site Reliability organization - a focused team responsible for Axon's metrics, logging, tracing, and alerting infrastructure across dozens of environments globally. The ideal candidate

Sr. Software Development Engineer, Alameda Observability Toronto, Ontario, CAN Alameda is the next generation control plane as a service operating more than 14 AWS Services. Just like EC2, EBS, and RDS modernized compute, storage and databases, Alameda provides a modernize AWS scaled and secured building blocks (API, Workflows, Telemetry...) that lets developers focus on writing core business value. Alameda removes the undifferentiated lift of writing services, while simultaneously providing secure by default, AWS scaled runtime services. We are looking for a Software Development Engineer to lead the Alameda Observability team and innovate new observability infrastructure powering RDS - a massive distributed system architecture supporting one of the largest managed database fleets on the planet. This space is on an accelerated high-growth trajectory with opportunities to rethink how traditional observability services were built and reimagine them as cloud-native from the ground up. The work requires solving the hardest engineering challenges in distributed systems and networking at massive scale, with significant bottom-line impact on the RDS business and competitive position. A successful candidate will have the experience and skill to set a strategic technical vision, provide hands-on guidance to the team, innovate on developer experience, and drive operational efficiency. Key job responsibilities Our engineers collaborate across diverse teams, projects, and environments to have a firsthand impact on our global customer base. You'll bring a passion for innovation, data, search, analytics, and distributed systems. You'll also: - Solve challenging technical problems, often ones not solved before, at every layer of the stack. -

AI Research Scientist Bangalore, India (ZIN122) posted: Posted 30+ Days Ago

Principal Software Developer - Oracle Health, AI Platform Engineering United States, US Role Summary Oracle Health Platform Engineering builds and operates shared platform services that power secure, reliable product delivery at scale. We are an AI-first engineering organization, using AI-assisted approaches to accelerate design and delivery while maintaining high standards for security, correctness, and operability. We are seeking a Principal Software Developer (IC4) to lead design and delivery for complex platform capabilities, improve platform reliability and security posture, and mentor engineers through deep technical contributions and influence. Location / Work Authorization / Clearance • Role is based in the United States. • U.S. citizenship required due to security clearance requirements. • No visa sponsorship available. • Must be able to obtain and maintain the required security clearance. Key Responsibilities • Lead architecture, design, and implementation for complex platform services and shared components. • Own key technical decisions; drive design reviews and ensure solutions meet security, scalability, performance, and operability requirements. • Establish and improve engineering standards across services (API consistency, test strategy, deployment patterns, observability). • Mentor engineers through design guidance, code reviews, and technical leadership. • Drive reliability improvements (SLOs/SLIs, capacity/performance planning, incident analysis, automation). • Partner with Security/Compliance to ensure secure-by-design implementations and audit readiness. • Collaborate across organizations to align roadmaps and deliver cross-team platform initiatives. AI-First Engineering Expectations • Demonstrate a consistent track record of applying AI-assisted engineering to improve delivery speed and quality across multiple projects (design, implementation, testing, troubleshooting). • Establish team patterns for

Lead AI Engineer IND - Karnataka - Bangalore - EDC posted: Posted Yesterday

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

Applied Scientist Intern, 2026 Shenzhen Shenzhen, CHN 职位：Applied scientist 应用科学家实习生 毕业时间：2026年10月 - 2027年7月之间毕业的应届毕业生 · 入职日期：2026年6月及之前 · 实习时间：保证一周实习4-5天全职实习，至少持续3个月 · 工作地点：深圳福田区 投递须知： 1 填写简历申请时，请把必填和非必填项都填写完整。提交简历之后就无法修改了哦！ 2 学校的英文全称请准确填写。中英文对应表请查这里（无法浏览请登录后浏览）https://docs.qq.com/sheet/DVmdaa1BCV0RBbnlR?tab=BB08J2 关于职位 Amazon Device &Services Asia团队正在寻找一位充满好奇心、善于沟通的应用科学家实习生，成为连接前沿AI研究与现实世界认知的桥梁。这是一个独特的角色--既需要动手参与机器学习项目，又要接受将复杂AI概念转化为通俗易懂内容的创意挑战。D&S Asia是亚马逊设备与服务业务在亚洲的支柱组织，自2009年支持Kindle制造起步，现已发展为横跨软硬件、AI（Alexa）及智能家居（Ring/Blink）的综合性团队，持续驱动区域业务创新与人才发展。 你将做什么 • 解密AI： 将复杂的技术发现转化为直观的解释、博客文章、教程或互动演示，让非技术背景的业务方和更广泛的社区都能理解 • 技术叙事： 与工程团队协作，以清晰、引人入胜的方式记录AI的能力与局限性 • 知识共享： 协助开发内部工作坊或"AI入门"课程，提升跨职能团队（产品、设计、商务）的AI素养 • 保持前沿： 持续学习并整合最新突破（如大语言模型、扩散模型、智能体），为团队输出简明易懂的趋势简报 • 研究与应用： 参与端到端的应用研究项目，从文献综述到原型开发，涵盖自然语言处理、计算机视觉或多模态AI领域 Basic Qualifications: - 正在攻读计算机科学、人工智能、机器学习、统计学或相关定量领域的硕士或博士学位 - 扎实的机器学习/深度学习基础（Transformer架构、优化算法、评估指标等） - 精通Python及主流机器学习框架（PyTorch/TensorFlow/JAX） - 卓越的沟通能力： 能够向高中生解释清楚梯度下降，或向市场经理讲明白神经网络 - 对"科学传播"有实证热忱： 无论是通过技术博客、YouTube教程、学术辅导还是开源文档 - 好奇心驱动： 具备在研究中容忍不确定性、在模糊中探索的开放心态 Preferred Qualifications: - 已发表或在投的研究论文及预印本（arXiv、学术研讨会等） - 使用可视化工具解释算法的经验（如D3.js、Manim、Observable） - 教育、技术写作或社区运营背景 - 对开源机器学习项目的贡献 - 现有技术内容作品集（Medium专栏、个人博客、B站/YouTube频道、微信公众号文章等） Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Principal Software Developer - Oracle Health, Backend Focus United States, US Role Summary Oracle Health builds and operates shared platform services that power secure, reliable product delivery at scale. We are an AI-first engineering organization, using AI-assisted approaches to accelerate design and delivery while maintaining high standards for security, correctness, and operability. We are seeking a Principal Software Developer (IC4) to lead design and delivery for complex platform capabilities, improve platform reliability and security posture, and mentor engineers through deep technical contributions and influence. Key Responsibilities • Lead architecture, design, and implementation for complex platform services and shared components. • Own key technical decisions; drive design reviews and ensure solutions meet security, scalability, performance, and operability requirements. • Establish and improve engineering standards across services (API consistency, test strategy, deployment patterns, observability). • Mentor engineers through design guidance, code reviews, and technical leadership. • Drive reliability improvements (SLOs/SLIs, capacity/performance planning, incident analysis, automation). • Partner with Security/Compliance to ensure secure-by-design implementations and audit readiness. • Collaborate across organizations to align roadmaps and deliver cross-team platform initiatives. AI-First Engineering Expectations • Demonstrate a consistent track record of applying AI-assisted engineering to improve delivery speed and quality across multiple projects (design, implementation, testing, troubleshooting). • Establish team patterns for AI-assisted development (e.g., test generation strategies, code review checklists for AI-generated changes, documentation/ADR generation) and coach others on effective usage. • Evaluate AI-assisted approaches with an enterprise mindset: security, privacy, IP, and compliance considerations; ensure usage aligns with company-approved tooling and policies. •

AI Platform Engineer Bucharest posted: Posted 2 Days Ago

Applied Scientist II, Amazon AWS Agentic AI, AWS AI Fundamental Research Santa Clara, California, USA Amazon is looking for a passionate, talented, and inventive Applied Scientist with a strong machine learning background to help build industry-leading technology in generative AI and foundational models. As part of our AI team in Amazon AWS, you will work alongside internationally recognized experts to develop novel algorithms and modeling techniques to advance the state-of-the-art in generative AI. Your work will directly impact millions of our customers in the form of products and services that make use of speech, vision and language technology. You will gain hands on experience with Amazon's heterogeneous speech, text, image and structured data sources, and large-scale computing resources to accelerate advances in machine learning and foundation models. More specifically, you will have the opportunity to impact millions of our customers by researching and building innovative solutions using Agentic AI. Agentic AI drives innovation at the forefront of artificial intelligence, enabling customers to transform their businesses through cutting-edge generative AI solutions. We build and deliver the foundational AI services that power the future of cloud computing, helping organizations harness the potential of AI to solve their most complex challenges. Join our dynamic team of AI/ML practitioners, applied scientists, software engineers, and solution architects who work backwards from customer needs to create groundbreaking technologies. If you're passionate about shaping the future of AI while making a meaningful impact for customers worldwide, we want to hear from you. A day in the life

Strategic Infrastructure Modernisation Consultant, AWS Professional Services Perth, Western Australia, AUS AWS Professional Services is seeking a Strategic Infrastructure Modernisation Consultant to lead the design and deployment of a modern digital foundations architecture and enterprise AI platform for one of Australia's largest mining and resources companies. This is a Perth-based engagement to implement an edge-to-cloud architecture across 18 remote operational sites, scale an AI platform from initial deployment to enterprise-grade operations supporting 500+ concurrent agents, and deliver a sequenced pipeline of AI use cases. The program has already validated the target architecture and deployed the initial AI platform during its first year. You will be the senior technical leader for the platform and infrastructure stream, responsible for architecture implementation, multi-site rollout, AI platform hardening, and operational transition. You will lead a team of 7 engineers spanning MLOps/DevOps, cloud platform, network/IoT, and data engineering. Key job responsibilities Platform and Architecture Leadership - Lead implementation of the approved target architecture (edge-to-cloud, security, connectivity, observability) across operational sites - Harden the AI platform for enterprise-scale operations - 500+ concurrent agent capacity, full governance framework, CI/CD pipelines - Deploy repeatable patterns for scalable site-by-site rollout - Implement modern data transfer patterns from edge-to-cloud with single-source-of-truth data access - Integrate with existing third-party platforms AI Platform Scale-Out - Scale production agents across Operations, Maintenance, and Commercial domains - Implement full governance framework - guardrails, audit trails, cost accounting, agent lifecycle management - Enable citizen development patterns - self-service agent creation with appropriate guardrails Executive Engagement

Sr. Partner Dev Mgr, DevOps and Observability, AMER, Observability Boston, Massachusetts, USA Amazon Web Services (AWS) is looking for an aspiring leader to join our team and accelerate the adoption of AWS cloud computing services worldwide via partner solutions. As a Senior Alliance Manager for DevOps Technology Partners, you will lead the partnership strategy and co-sell engagement. This role will be a Subject Matter Expert for the assigned partner and their solutions running on AWS. You will be familiar with and help in the creation of overall business plan, goals/KPIs, and effectively leverage other AWS resources to help in the co-selling process to drive field enablement, field alignment and incremental joint opportunities. You will be responsible for the co-selling goal and will be measured on incremental revenue through the assigned partners and will be responsible for managing the overall partnership health and reporting metrics. We are always looking to improve and we also recognize there are many ways to lead and partner. We're looking for a Think Big leader with diversity in thought who can add to our company skillset by bringing their unique industry knowledge and creativity to our organization. At Amazon, we live our professional lives by the Leadership Principals. When we hire, we look for those who are Amazonian rather than for someone who fits an exact resume mold. We are looking for someone who can help us create the next version of what it means to be a great partner to our ISVs and is passionate