Lead AIOps & Automation Architect

Refinitiv; Województwo pomorskie; On-site; PLN 180,000 - 220,000; Full time

Benefits offered by this job

Flexible vacation

Mental Health Days off

Tuition reimbursement

Job summary

A technology firm is seeking a Lead AIOps & Automation Architect to design and implement AIOps and automation strategies. The role requires significant experience in IT operations, with a strong focus on building production-grade AIOps solutions. Collaborating with various teams, the Architect will define data ingestion and automation frameworks while ensuring AI outputs are safely embedded in workflows. Competitive benefits and a hybrid work model are offered.

Qualifications

• 10+ years of experience in IT operations, reliability engineering, or automation-heavy environments.
• Proven experience in designing or implementing AIOps and intelligent automation solutions.
• Hands-on experience integrating AI/ML outputs into operational workflows.

Responsibilities

• Define and own the AIOps and automation architecture.
• Design scalable architectures for event correlation and anomaly detection.
• Serve as a technical authority for AIOps across Service Management.

Skills

Observability and telemetry platforms

Event correlation

ServiceNow ITOM

Data pipelines and feature engineering

Automation frameworks

Education

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field

Tools

ServiceNow ITOM

Job description

# **Our Privacy Statement & Cookie Policy**Thomson Reuters is transforming Service Management into an AI‐native, autonomy‐ready operating model. The Lead AIOps & Automation Architect plays a critical role in this transformation by designing the intelligence layer that enables predictive insights, intelligent decisioning, and automated actions across the full service management lifecycle.This role is deeply hands‐on and outcome‐driven. You will define how telemetry, service topology, and service management data are converted into AI‐driven decisions and automated actions—integrated directly into production workflows, release and change processes, and real‐time operational execution.The role is an individual contributor with significant architectural ownership and cross‐functional influence, focused on building production‐grade, governed, and scalable AI‐driven operations.**About the Role**In this opportunity as Lead AIOps & Automation Architect, you will:## Key Responsibilities### AIOps Architecture & Strategy* Define and own the end‐to‐end AIOps and automation architecture, including data ingestion, feature engineering, model selection, inference, and automation triggers.* Design scalable architectures for event correlation, anomaly detection, predictive incident modeling, noise reduction, and operational decision support.* Establish architectural patterns that support human‐on‐the‐loop and human‐above‐the‐loop operational models, including clear autonomy levels and guardrails.### AI‐Driven Automation & AI‐Native Service Management* Architect automation frameworks that support intelligent incident response, change execution, release validation, and post‐deployment decisioning.* Define AI‐native service management patterns for routing, enrichment, summarization, prioritization, and risk‐aware decision support across incident, change, release, and request workflows.* Partner with workflow and platform engineering teams to ensure AI outputs are embedded into production‐grade workflows, not standalone tools.* Ensure automations are safe, observable, auditable, reversible, and compliant with governance and access controls.### ### ### Data, Telemetry & Operational Context* Work closely with service data and insights teams to define AI‐ready datasets, telemetry standards, and data quality requirements.* Leverage metrics, logs, events, traces, service topology, and service management data as model inputs.* Design cost‐ and signal‐aware telemetry ingestion and correlation strategies appropriate for enterprise scale.* Ensure alignment with observability standards, monitoring‐as‐code initiatives, and topology‐driven context.### Operational Intelligence & Model Lifecycle* Design and evaluate ML approaches for operational and service‐management use cases such as time‐series forecasting, clustering, classification, root‐cause support, change risk scoring, and release health assessment.* Define success metrics for models, including precision, recall, MTTR impact, delivery velocity impact, and false‐positive rates.* Establish feedback loops that continuously improve models and automation based on real operational outcomes and execution data.### Technical Leadership & Influence* Serve as a technical authority for AIOps and automation across Service Management.* Collaborate with SREs, platform engineering, incident leaders, release engineers, and data teams.* Influence standards, tooling decisions, and architectural direction without direct people management.* Provide architectural guidance, patterns, and technical direction to senior and lead engineers.### **About You**You’re a fit for the role of Lead AIOps & Automation Architect if you have the following required qualifications:## Background & Experience### **Required*** Bachelor’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related technical field, or equivalent practical experience.* 10+ years of experience in IT operations, reliability engineering, platform engineering, observability, or automation‐heavy enterprise environments.* Proven experience designing or implementing AIOps, event management, intelligent automation, or AI‐assisted service management solutions.* Strong background in operational telemetry, monitoring, and large‐scale distributed systems.* Hands‐on experience integrating AI/ML outputs into real operational and service‐management workflows (not analytics‐only solutions).### **Preferred*** Experience with ServiceNow ITOM, Event Management, AIOps, or comparable enterprise ITSM platforms.* Exposure to time‐series analysis, anomaly detection, or ML‐driven operational decisioning.* Experience working with cloud and hybrid environments at enterprise scale.* Prior background in SRE, DevOps, platform engineering, or release engineering roles.### ## Skills & Qualifications### **Technical Skills*** Observability and telemetry platforms (metrics, logs, events, traces)* Event correlation, noise reduction, and signal hygiene* ServiceNow ITOM and workflow orchestration patterns* Automation frameworks, runbook orchestration, and multi‐step workflow execution* Safe automation design, including guardrails, escalation paths, and auditability* Data pipelines and feature engineering for operational ML* API‐driven integrations and workflow orchestration* Service topology, dependency mapping, and impact analysis* Cost‐aware telemetry ingestion and correlation strategies### ### **Professional Skills*** Strong systems thinking and architectural rigor* Analytical and problem‐solving mindset grounded in production realities* Ability to translate ambiguity into executable designs and standards* Comfortable influencing senior technical and operational leaders* Clear communicator across engineering, operations, and leadership audiences### ## What Success Looks Like* Measurable reduction in alert noise and incident volume.* Faster detection, diagnosis, and resolution of operational issues.* Improved change safety and release confidence through AI‐assisted decisioning.* Increased percentage of incidents and operational actions handled through automation.* Clear architectural patterns adopted across Service Management for AI‐enabled operations.* Tangible improvements in both service stability and delivery velocity.* Visible progress toward predictive and increasingly autonomous service operations.#LI-AB3* **Hybrid Work Model:** We’ve adopted a flexible hybrid working environment (2-3 days a week in the office depending on the role) for our office-based roles while delivering a seamless experience that is digitally and physically connected.* **Flexibility & Work-Life Balance:** Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work-life balance.* **Career Development and Growth:** By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real-world solutions. Our Grow My Way programming and skills-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI-enabled future.* **Industry Competitive Benefits:** We offer comprehensive benefit plans to include flexible vacation, two company-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing.* **Culture:** Globally recognized, award-winning reputation for inclusion and belonging, flexibility, work-life balance, and more. 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