Lead AIOps & Automation Architect

PowerToFly; Województwo pomorskie; On-site; PLN 203,000 - 377,000; Full time

Benefits offered by this job

Hybrid Work Model

Flexible vacation

Career development programs

Mental health resources

Paid volunteer days

Job summary

A leading information services company is seeking a Lead AIOps & Automation Architect to define and implement AI-driven service management architectures. The successful candidate will have over 10 years of experience in IT operations and a strong background in AIOps solutions. Responsibilities include designing scalable architectures and automating workflows. This role offers a hybrid work model and competitive compensation within Poland, which ranges from 203,000 PLN to 377,000 PLN annually.

Qualifications

• 10+ years of experience in IT operations or automation-heavy environments.
• Proven experience with AIOps or service management solutions.
• Strong background in large-scale distributed systems.

Responsibilities

• Define and own the AIOps and automation architecture.
• Design scalable architectures for predictive incident modeling.
• Architect automation frameworks for intelligent incident response.

Skills

AIOps and automation architecture

Operational telemetry

AI/ML integration

Event correlation

Monitoring

Education

Bachelor’s degree in Computer Science or related field

Tools

ServiceNow ITOM

Observability platforms

Job description

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

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.

What’s in it For You?

• 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. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together.
• Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro‑bono consulting projects and Environmental, Social, and Governance (ESG) initiatives.
• Making a Real-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world.

Thomson Reuters complies with local laws that require upfront disclosure of the expected pay range for a position. The base compensation range varies across locations. For Poland, the base compensation range for this role is 203,000 PLN - 377,000 PLN. Base pay is positioned within the range based on several factors including an individual’s knowledge, skills and experience with consideration given to internal equity. Base pay is one part of a comprehensive Total Reward program which also includes flexible and supportive benefits and other wellbeing programs. This role may also be eligible for an Annual Bonus based on a combination of enterprise and individual performance.

Equal Employment Opportunity

Thomson Reuters is proud to be an Equal Employment Opportunity Employer providing a drug‑free workplace.

We also make reasonable accommodations for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law. More information on requesting an accommodation here.

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More information about Thomson Reuters can be found on thomsonreuters.com.

Eligibility for Applicants Under Temporary Protection Directive

• Ukrainian citizens and their family members residing in Ukraine before 24 February 2022
• Third country citizens and stateless persons and their family members with international or equivalent national protection in Ukraine, who had a valid residence permit in Ukraine on 24 February 2022
• Citizens of other third countries who were permanent residents in Ukraine on 24 February 2022 in accordance with Ukrainian regulations and who cannot safely and permanently return to their country