# AI Platform Engineer Source: https://realanalystjobs.com/job/ai-platform-engineer-keysight-technologies-3c1f9da1 AI Platform Engineer at Keysight Technologies, an on-site role based in Barcelona, Spain. Experience level: 5+ Years. Posted on 9 September 2026, read from Keysight Technologies' own careers page (Jibe), which RealAnalystJobs re-checks daily and removes the role when it closes. Updated 15 November 2026. ## Key facts - Company: [Keysight Technologies](https://realanalystjobs.com/companies/keysight-technologies) - Location: Barcelona, Spain - Work mode: On-site - Posted: Sep 9, 2026 - Employment type: Full time - Experience level: 5+ Years - Source: Keysight Technologies' careers page (Jibe), re-checked daily Skills: [SQL](https://realanalystjobs.com/skills/sql), [Python](https://realanalystjobs.com/skills/python), Airflow ## Visa sponsorship The posting does not say. Keysight Technologies had H-1B petitions approved for 84 workers in fiscal year 2026 (USCIS). That is history, not a promise for this role. [See the record](https://realanalystjobs.com/companies/keysight-technologies#h1b-record) ## About this role Overview Keysight is at the forefront of technology innovation, delivering breakthroughs and trusted insights in electronic design, simulation, prototyping, test, manufacturing, and optimization. Our ~16,800 employees create world-class solutions in communications, 5G, automotive, energy, quantum, aerospace, defense, and semiconductor markets for customers in over 100 countries. Learn more about what we do. Our award-winning culture embraces a bold vision of where technology can take us and a passion for tackling challenging problems with industry-first solutions. We believe that when people feel a sense of belonging, they can be more creative, innovative, and thrive at all points in their careers. We are looking for an Artificial Intelligence (AI) Platform Engineer to join our industry-leading data and IP management product team to build the Machine Learning Operations ( MLOps ) infrastructure that powers SOS AI, our AI lifecycle management platform that brings together Electronic Design Automation (EDA) and AI/ML workflows. Responsibilities • Design, build, and operate the SOS AI platform: the orchestration, tracking, messaging, and application services that run the AI/ML lifecycle on-premises. • Build experiment orchestration as versioned, reproducible workflows, with run context, task dependencies, execution tracking, and reliable replay. • Implement asset registries and end-to-end lineage so every model, dataset, and result is traceable to the exact inputs, parameters, and workflow version that produced it. • Package and deploy the platform as a self-contained system that runs reliably in customer environments without dependence on external services. • Integrate the platform with engineering and EDA workflows so that data flows cleanly between tools and the experiment substrate. • Own platform reliability and performance: observability, scaling, upgrade paths, and operational tooling for the backend services. • Establish access control, audit trails, and reproducibility guarantees appropriate for IP-sensitive engineering data. • Collaborate with ML engineers, product, and customers to turn AI/ML workflow needs into durable platform capabilities. Qualifications • BS, MS, or Ph.D. in Computer Science, Engineering, or related field • 5+ years building and operating AI or data platforms in production. • Hands-on experience with workflow orchestration, particularly Prefect (or comparable orchestrators such as Airflow or Dagster ). • Strong containerization and orchestration skills (Docker and Kubernetes) for building and deploying distributed backend services. • Solid backend engineering in Python, including API design, relational databases (PostgreSQL), and service architecture. • Experience with MLOps tooling such as experiment tracking and model registries (for example MLflow ), and with messaging or eventing systems (for example NATS or Kafka). • Experience delivering on-premises or air-gapped systems, with a focus on reliability and operability. • Experience with high-performance computing (HPC) environments and job schedulers is valued. • Experience in semiconductor, EDA, or other engineering domains is a plus. Careers Privacy Statement ***Keysight is an Equal Opportunity Employer.*** Description from Keysight Technologies' public careers feed, reproduced so you can read the role here. Apply on the company's own site; Real Analyst Jobs never submits anything for you. ## How to apply Open [this role on Real Analyst Jobs](https://realanalystjobs.com/job/ai-platform-engineer-keysight-technologies-3c1f9da1) and use Apply now there to reach the employer's application. The listing is re-checked against Keysight Technologies' careers page daily and removed when it closes. ## Keysight Technologies 7 open analyst roles on Real Analyst Jobs. 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