Manager Agentic AI

Veralto

Wrocław

Hybrid

PLN 700,000 - 855,000

Full time

2 days ago
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Benefits offered by this job

Flexible collaboration across teams
Career growth opportunities
Diversity and inclusion

Job summary

Veralto, via Esko’s Agentic AI initiative, seeks an engineering leader to drive development and delivery of a shared AI platform used by multiple product teams. You will guide architecture, quality, and ownership while mentoring engineers and aligning with product goals.

You will work across product engineering, cloud, security, and design to ensure scalable, reliable, production-ready AI capabilities, shaping the platform’s technical direction globally.

Qualifications

  • Strong production software engineering experience in Python, TypeScript, Java, or a similar language.
  • Experience leading and developing engineers, including line management, coaching, performance feedback, and meaningful technical ownership.
  • Experience building a platform, API, or shared service used by multiple teams, with good abstractions and interfaces.
  • Experience designing or building production AI systems using LLMs, tools, or agentic workflows, with awareness of limitations and risks.
  • Track record taking uncertain ideas through evaluation, implementation, and adoption as production capabilities.

Responsibilities

  • Lead and develop the Agentic AI engineering team with clear goals and career development.
  • Contribute to design, implementation, and operation of large areas of the Agentic AI platform.
  • Shape platform architecture, interfaces, and quality bar in collaboration with platform teams.
  • Translate requirements into reusable platform capabilities while avoiding forks.
  • Establish engineering practices for reliability, security, observability, and performance.
  • Support adoption of the shared platform by product teams and scale domain capabilities.
  • Foster an experimental and learning culture with accountable production outcomes.
  • Define metrics to guide priorities and improvements.

Skills

Python/TypeScript/Java
Engineering leadership
Platform development
AI systems with LLMs
Cross-functional collaboration

Education

CS/ML/DS/AI degree

Tools

API design
MLOps platforms

Job description

Manager Agentic AI
Location:

Prague (Hybrid); Czech Republic (Remote); UK (Remote); Ghent (Hybrid), Poland (Remote), Hungary (Remote), Romania (Remote)

Function : Software Engineering
Reports to: Director, Packaging Intelligence
About the role

Esko is building Agentic AI as a shared platform capability that enables product teams to create reliable AI-powered workflows without independently rebuilding common foundations. The platform team provides reusable capabilities, engineering patterns, and production foundations; product teams retain ownership of their domain applications and customer experiences.

This is a hands-on engineering leadership role combining line management with substantial direct technical contribution. You will lead and develop the Agentic AI team, help shape the platform's technical direction, and take end-to-end ownership of substantial technical areas. Success will be measured not only by what the team ships, but by the quality, adoption, and leverage the platform creates across Esko.

You will work closely with product engineering, architecture, cloud platform, security, compliance, product management, and design to translate shared needs and legitimate domain differences into coherent platform capabilities. You will also contribute to Esko's broader AI direction and participate in customer or industry discussions where your technical perspective is valuable.

What you will do:
  • Lead and develop the Agentic AI engineering team through clear goals, regular feedback, coaching, performance management, career development, and thoughtful allocation of ownership.

  • Contribute directly to the design, implementation, and operation of substantial areas of Esko's shared Agentic AI platform.

  • Help shape the platform's technical direction, architecture, interfaces, and engineering quality bar in collaboration with the wider platform and architecture community.

  • Translate recurring product and engineering needs into reusable platform capabilities, while accommodating legitimate domain differences without creating product-specific forks.

  • Establish strong engineering practices for reliability, security, observability, evaluation, performance, and compatibility for consuming teams.

  • Work directly with product engineering teams to support adoption of the shared platform and help them take domain-specific agentic capabilities from exploration into production.

  • Create an environment in which engineers can experiment, learn, challenge assumptions, and make evidence-based technical decisions while remaining accountable for production outcomes.

  • Define and use meaningful measures of platform adoption, quality, operational performance, delivery effectiveness, and team development to guide priorities and improvement.

What we are looking for
  • Strong production software engineering experience in Python, TypeScript, Java, or a similar language, including designing, building, and operating reliable systems.

  • Demonstrated experience leading and developing engineers, including line management, coaching, performance feedback, and creating meaningful technical ownership.

  • Experience building a platform, API, or shared service used by multiple teams, with sound judgement about abstractions, interfaces, compatibility, and operational responsibilities.

  • Experience designing or building production AI systems using large language models, tool use, or agentic workflows, together with a practical understanding of their limitations and risks.

  • A track record of taking uncertain or early-stage technical ideas through evaluation, implementation, and adoption as dependable production capabilities.

  • Ability to balance platform coherence with legitimate product and domain differences, and to make clear technical trade-offs when needs conflict.

  • Experience collaborating across product engineering, architecture, infrastructure, security, and business functions in a global organization.

  • Excellent written and verbal communication, with the ability to explain technical decisions clearly to engineering, product, and leadership audiences.

  • Undergraduate, Master's degree or PhD in Computer Science / Machine Learning / Data Science / Artificial Intelligence, or related disciplines.

Preferred experience
  • Experience in packaging graphics, prepress, CAD, or the wider graphic arts industry.

  • Experience building or operating multi-tenant SaaS or cloud platform capabilities.

  • Experience with AI evaluation, observability, security controls, governance, or other production foundations for agentic systems

What success looks like
  • Delivery of solutions conforming to agreed specifications and architecture that leverage agentic AI to solve valuable customer problems in a way that is explainable and repeatable – resulting in measurable productivity improvements.

  • Teams across the business ship AI-powered capabilities that solve valuable customer problems by leveraging a shared foundation, rather than “re-inventing the wheel”.

  • Providing adequate space for ideation - and inspiration for team members to try new approaches, technologies and techniques.

  • Team members are set meaningful, measurable goals - with training and development plans created to facilitate their ongoing personal and career development.

  • Delivery of initiatives occurs in line with Esko's Software Development Lifecycle and in accordance with company policy and security best practices.

  • The Agentic AI platform grows as a coherent whole rather than fragmenting into one-off, team-specific solutions.

  • A class-leading set of capabilities provide a powerful base for Esko cross-functional teams to transform the value of our software using cutting-edge AI technologies.

What We Offer
  • Joining a highly experienced and long-established engineering hub in Prague

  • Flexibility to shape and grow the MLOps function - you will be our internal expert

  • Opportunity to collaborate internationally across multiple product teams

  • At Veralto, your potential is amplified. Our culture of continuous improvement defines who we are, drives our success, and translates to a career without limits for our team of curious associates

At Esko, a Veralto Company, innovation comes in every color and never in the same package. Join Esko and see how diversity of people and thought fuels a career journey like no other. Create unique technology solutions for the packaging value chain, bring new ideas to life, make and influence decisions, and experience career growth, rewards, and recognition in our global Packaging & Color organizations. Esko is proud to be a Product Quality & Innovation company in Veralto (NYSE: VLTO). Imagine a world where everyone has access to clean water, safe food and medicine, and trusted essential goods. That is the tomorrow Veralto is creating today. Veralto is a $5B global leader in essential technology solutions made up of over 16,000 associates across our Water Quality and Product Identification segments all united by a powerful purpose: Safeguarding the World’s Most Vital Resources.

At Veralto, we value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

Veralto and all Veralto Companies are committed to equal opportunity regardless of race, color, national origin, religion, sex, age, marital status, disability, veteran status, sexual orientation, gender identity, or other characteristics protected by law. We value diversity and the existence of similarities and differences, both visible and not, found in our workforce, workplace and throughout the markets we serve. Our associates, customers and shareholders contribute unique and different perspectives as a result of these diverse attributes.

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