Engineering Manager - Agentic AI

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.

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.

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 .

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.

We do not accept unsolicited assistance from any headhunters or recruitment firms for any of our job openings. All resumes or profiles submitted by search firms to any employee at any of the Veralto companies , in any form without a valid, signed search agreement in place for the specific position, approved by Talent Acquisition, will be deemed the sole property of Veralto and its companies. No fee will be paid in the event the candidate is hired by Veralto and its companies because of the unsolicited referral.