Observe.ai jobs

AI Architect Savannah, GA in Unique Skills: Education and Experience Requirements Bachelor's Degree in Mathematics, Computer Science, or Engineering required or equivalent combination of education and experience sufficient to successfully perform the essential functions of the job. 10 years experience in software development to include AI, leadership in architecture, standards, and delivery of complex AI systems or Master's Degree may be used to offset one (1) year of experience; PhD may offset two (2) years of experience. Other Cloud architecture, AI Platform or MLOps cerifications preferred. Position Purpose: The AI Architect will own enterprise AI architecture, reference patterns, and platform design. This role governs scalable, secure, and compliant AI platforms and advises leadership on architecture decisions supporting long‑term sustainability. Designs and governs enterprise AI platforms, MLOps/LLMOps, integrations, and compliance patterns. Ensures scalability and sustainability. Job Description Principle Duties and Responsibilities: Essential Functions: Design and govern enterprise AI architectures, platforms, and reference patterns. Define standards for AI/ML lifecycle, MLOps/LLMOps, integrations, and observability. Ensure security, compliance, scalability, and sustainability of AI platforms. Lead architectural reviews and guide cross‑team technical alignment. Mentor specialists and senior engineers and advise leadership on tradeoffs. Perform other duties as assigned. Other Requirements: Exten

Model Risk Management & Control (MRMC) Internship Program Do you have an analytic mindset? Are you ready to dive into the dynamic world of risk management and control at a large international investment and wealth management bank? Do you have a keen eye for detail and a curiosity for understanding how models and artificial intelligence (AI) systems align with regulatory standards and industry best practice? For our Model Risk Management & Control (MRMC) U.S. Internship Program we are looking for people like you, who can help us in transforming model risk governance and reporting: •Learn how to analyze data by observing and participating in activities focused on reviewing metrics and developing summaries under close guidance •Explore process improvement concepts by engaging in project-based activities involving automation and AI/visualization tools •Develop an understanding of policies and procedures by shadowing initiatives related to regulatory requirements and industry standards •Build skills in creating clear and impactful presentations by observing and contributing to the preparation of reporting materials

Agentic AI/ML Engineer, Multimodal Irvine, CA FieldAI's Irvine team is where embodied AI meets real robots, real sensors, and real field deployments. Based in the heart of Southern California's robotics ecosystem, we build risk-aware, reliable, field-ready AI systems that solve the hardest problems in robotics and unlock the full potential of embodied intelligence. If you want your work to ship, get tested on hardware, and improve through real deployments, Irvine is the place. We go beyond typical data-driven approaches or pure transformer-only architectures, combining rigorous engineering with learning systems proven in globally deployed solutions that deliver results today and get better every time our robots run in the field. Who are We? Field AI is transforming how robots interact with the real world. We are building risk-aware, reliable, and field-ready AI systems that address the most complex challenges in robotics, unlocking the full potential of embodied intelligence. We go beyond typical data-driven approaches or pure transformer-based architectures, and are charting a new course, with already-globally-deployed solutions delivering real-world results and rapidly improving models through real-field applications. Learn more at https://fieldai.com. About the Job Our Field Foundation Model (FFM) powers a global fleet of autonomous robots that capture massive streams of multimodal data across diverse, dynamic environments every day. As part of the Insight Team our mission is to transform this raw, multimodal data into actionable insights that empower our customers and engineers to deliver value. Field-insight Foundation Model (FiFM) is at the core of how we transform multimodal data from

Architect - Agentic AI US, Minnesota, Maplewood posted: Posted 3 Days Ago

Splunk Solutions Engineer (Observability) - Dubai Dubai, United Arab Emirates Embrace the role of a Splunk Solutions Engineer and drive digital transformation by delivering technical expertise on Splunk's observability solutions. Collaborate with clients, engage in customer demos, and shape the future of IT monitoring. If you're passionate about enterprise software and cloud technologies, this is your opportunity to make an impact in Dubai.

AI Engineer Singapore posted: Posted 28 Days Ago

ITOps Consultant – Monitoring & Observability Pune, Mahārāshtra, India Embrace the role of an IT Operations Consultant - Monitoring & Observability and drive high availability, performance, and reliability across enterprise IT environments. Leverage your expertise in OpsRamp, monitoring tools, and observability platforms to support 24x7 operations, collaborate with cross-functional teams, and shape the future of IT infrastructure at Hewlett Packard Enterprise.

AI Data Associate with Dutch , Artificial General Intelligence Data Services London, England, GBR AI is the most transformational technology of our time, capable of tackling some of humanity's most challenging problems. Amazon is investing in generative AI and the responsible development and deployment of large language models (LLMs) across all of our businesses. Come build the future of human-technology interaction with us. We are looking for those candidates who just don't think out of the box, but make the box they are in 'Bigger'. The future is now, do you want to be a part of it? Then read on! This is a fixed term contract for 12 months and will require you to work from our London office 5 days a week. Key job responsibilities - Maintain and follow strict confidentiality as customer privacy is our most important tenet - Work with a range of different types of data including, but not limited to: text, speech, audio, image, and video - Deliver high-quality labelled data, using guidelines provided to meet our KPIs and using in-house tools and software, as part of Amazon's commitment to developing and deploying AI responsibly. - Demonstrate proficiency in generating high quality human insight data across a range of modalities, inclusive of text, image video and audio. - Capable of making sound judgments and logical decisions when faced with ambiguous or incomplete information while performing tasks. - Eye for detail and ability to pivot from one category of requirement to another instantaneously. - Demonstrate

Platform Engineer Observability - a venture between Thales and Google Bucharest, Romania Exciting opportunity for a Platform Engineer Observability to join Thales and Google in Bucharest. Design, deploy, and operate LGTM stacks on a GCP region, collaborate with top engineers, and drive observability for critical European infrastructure. Shape the future of cloud operations with a world-first team. Hybrid work, real impact.

AI Software Validation Intern Poland, Gdansk posted: Posted 7 Days Ago

Cybersecurity Engineer for Network Security observability Madrid, Spain Join us as a Cybersecurity Engineer - Network Security Observability and lead the design, architecture, and operation of global security infrastructure. Drive observability, reliability, and visibility for enterprise networks, collaborating with cross-functional teams to ensure robust security posture. Shape the future of network security with cutting-edge tools and a focus on operational excellence.

Senior Observability Engineer Warsaw, Masovian, Poland The Senior Observability Engineer designs, builds, and maintains systems to provide deep insights into complex infrastructure and applications, ensuring performance, reliability, and fast troublesh...

Applied AI Inference Engineer San Francisco, California, United States, New York, Remote ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $300M Series E , backed by investors including BOND, IVP, Spark Capital, Greylock, and Conviction. Join us and help build the platform engineers turn to to ship AI products. THE ROLE As an Applied AI Inference Engineer at Baseten, you will partner directly with customers to architect, build, and deploy high-scale production AI applications on Baseten's platform. You'll own the journey with customers from initial exploration to production deployment, translating ambiguous business goals into reliable, observable services with clear quality, latency, and cost outcomes. This role is a great fit for entrepreneurial engineers who want a front-row view into how modern companies adopt AI at scale and who enjoy working across product, software development, performance engineering, and customer-facing implementations. To be clear, this is an engineering role with hands-on coding and software development that also includes aspects of product management, technical customer success, and pre-sales solution engineering mixed in. EXAMPLE INITIATIVES Take a look at these blog posts written by members of our Forward Deployed Engineering team: - Forward Deployed Engineering on the frontier of AI - The fastest, most accurate Whisper transcription

AI Research Scientist - Multimodal Intelligence Seattle, United States of America Imagine what you could do here. At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Multifaceted, amazing people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same passion for innovation that goes into our products also applies to our practices, strengthening our commitment to leave the world better than we found it. Join us in this truly exciting era of Artificial Intelligence to help deliver the next groundbreaking Apple products & experiences! We are continuously advancing the state of the art in Computer Vision and Machine Learning, touching all aspects of language and multimodal foundation models, from data collection, data curation to modeling, evaluation and deployment. As a member of our dynamic group, you will have the unique and rewarding opportunity to craft upcoming research directions in the field of multimodal foundation models that will inspire future Apple products. You will be working alongside highly accomplished and deeply technical scientists and engineers to develop pioneering solutions for challenging problems. This is a unique opportunity to be part of what forms the future of Apple products that will touch the lives of many people. We (Multimodal Intelligence Team) are looking for an AI Research Scientist to work on the field of Generative

Lead Monitoring & Observability System Architect GURGAON,INDIA About the roleWe are looking for an experienced Monitoring and Observability System Architect to join our team, and onboard in the NewCo program, an exciting project toenhance Orange Business operatio...

AI Engineer Intern Taipei City posted: Posted 2 Days Ago

Principal Product Manager, AI agents - Search United States Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale - unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data - securing and protecting private information more effectively - Elastic's complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI. What is The Role Elastic, the Search AI Company, is looking for a Principal Product Manager to guide the vision, strategy, and execution for the Elastic Agent Builder. As organizations shift from traditional data retrieval to autonomous, agentic workflows, the Agent Builder serves as the critical context layer that enables users to make Agents faster, lower cost, and more accurate. In this high-impact role, you will be responsible for defining how enterprises build, manage, and scale context for AI agents. You will work at the cutting edge of the AI ecosystem, working with senior leadership and partnering with hyperscalers and evangelizing our solutions to a global community of AI developers. What You Will Be Doing - Work directly with enterprise customers, sales teams, and solution architects to understand requirements, negotiate priorities, clarify product needs - Build, socialize and align a roadmap for

Staff AI Engineer - Grafana Ops, AI/ML | USA | Remote United States (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from USA time zones only at

Robotics/Physical AI Sales Japan, Tokyo posted: Posted 7 Days Ago

Senior Staff AI Engineer 2 Locations posted: Posted 30+ Days Ago

Senior Software Engineer | Aura Platform Portugal Position Overview We are looking for a Senior Software Engineer to join the Aura AI Platform team. You will design, build, and operate the infrastructure that runs customer workloads (Notebooks, Jobs, Apps, AI Agents, and Model-serving) on top of SingleStore, across multiple regions and clouds. You will work on services that manage container pools, resource scaling, routing, RBAC, Billing, Observability and secure network access between clusters. This role is ideal for engineers who enjoy building distributed platforms, owning production systems, and enabling real-time AI and data applications at scale. What you'll do: - Design, build and maintain the platform that powers internal and customer‑facing intelligent services on SingleStore - Lead complex, cross-functional technical initiatives from conception to deployment, mentoring other engineers along the way - Work closely with product managers, designers, customers, and other engineers to ensure we deliver a high-quality experience - Drive the team's engineering standards, championing best practices in system design, code quality, testing, observability, and CI/CD pipelines to ensure we scale reliably. - Share on-call responsibilities and proactively improve the reliability, security, and cost-efficiency of our cloud infrastructure. Your Experience: - 4+ years of experience working on a SaaS product - Experience with working on distributed systems, ideally in programming languages such as Golang, Python or Rust - Experience working with Kubernetes and/or containerized services - Intellectual curiosity about investigating issues that impact business metrics - Passion for building high-quality products that are robust and easy to maintain in

Staff AI Engineer - Grafana Ops, AI/ML | Canada | Remote Canada (Remote) Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers - including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce - trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we're backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at grafana.com and follow us on LinkedIn and X . We're scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that's okay. If this role excites you, we'd love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants from Canada time zones only at this

Senior AI Engineer 3 Locations posted: Posted 10 Days Ago

Senior AI Engineer San Jose posted: Posted 30+ Days Ago