The AI Operations Analyst manages day‑to‑day operational analysis and monitoring for AI applications and agents, ensuring reliable, secure, transparent, and cost‑effective services.
Locations (3)
Lisbon, Lisbon District, Portugal
Madrid, Madrid, Spain
Milano, Italy
Compensation
The anticipated base pay range for this position is:
€40.600,00 - €65.320,00
Responsibilities
Own routine monitoring of AI applications and agents, analysing logs, traces, model and tool calls, retrieval steps, latency, failures, and token consumption to identify service issues.
Validate telemetry completeness across agent workflows and supporting services, investigate gaps, and coordinate corrective actions with engineers and platform owners.
Build and maintain operational dashboards and reports covering availability, latency, errors, quality signals, policy alerts, consumption, and service health.
Provide second‑level technical support for Amazon’s IT infrastructure, troubleshooting hardware, software, networking, and operating system issues, while managing local IT projects and maintaining knowledge bases.
Responsibilities
Troubleshoot and resolve hardware, software, networking, and operating system issues across multiple technology domains
Manage and deliver local IT projects, including leading IT infrastructure installations at new Amazon sites
Author and maintain knowledge base articles, operating procedures, and user documentation
Install, configure, and maintain operating systems, servers, and network devices, and administer user accounts in Microsoft Active Directory
Communicate technical information clearly to both technical and non‑technical audiences and coordinate change management activities
Requirements
Bachelor's degree in Information Technology, Computer Science, or a related field
Nice to have: Windows Server administration
Nice to have: Linux/RHEL administration
Nice to have: procurement and inventory management of IT equipment
Lead the autonomy and perception stack for Odin Dynamics’ autonomous underwater vehicle platform, owning the full software lifecycle from architecture to field deployment.
Responsibilities
Serve as the Responsible Engineer for the autonomy and perception stack
Develop greenfield autonomy software from requirements to production-ready implementation
Own autonomy behavior across mission planning, path planning, localization, state estimation, sensor fusion, perception, obstacle avoidance, recovery behavior, and fault-aware decision-making
Design and implement algorithms for object detection, recognition, classification, tracking, mapping, navigation, and autonomous decision-making
Develop both machine-learning-based and classical perception approaches
A senior technical support role focused on leading support for macro trading applications, managing complex incidents, and mentoring junior support engineers.
Responsibilities
Lead support for macro trading applications that help investment professionals operate efficiently across fast-moving markets
Serve as a senior escalation point for complex incidents, driving timely resolution while keeping users and technology stakeholders informed
Strengthen production stability by monitoring critical application workflows and identifying issues before they affect users
Partner with front-office teams to understand trading needs and translate recurring issues into practical technology improvements
Design and improve onboarding processes for macro application users, including setup, access coordination, and operational readiness
Analyse performance against agreed service‑level indicators and objectives, tune operational alert thresholds within approved standards, and recommend improvements to monitoring coverage.
Investigate incidents using logs and traces, develop evidence‑based hypotheses, and coordinate next steps while following approved access and sensitive‑data handling procedures.
Requirements
Bachelor's degree in Computer Science, Engineering, Data Analytics, Artificial Intelligence, or a related discipline, or equivalent relevant experience
Nice to have: regulated environments with security, privacy, quality, risk, or audit requirements
Nice to have: supporting an AI application, RAG workflow, chatbot, or agent framework in a live service environment
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