ML/AIWork
Jacobs logo

Senior AI/Data Platform Engineer (GCP, AI & GenAI Platforms)

Jacobs · Kraków, PL

Job description

Location

Krakow, All PL Regions, Poland

Capabilities

Digital and Data

Office Setup

Office/Onsite

Job ID

#37769

Market

Enterprise Functions

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.

Your impact

At Jacobs we're embarking on an exciting journey as we initiate the development of our Digital & Data Hub in the heart of Krakow. Our mission is to undertake projects spanning various industries, including Consumer and Manufacturing, Defence and Security, Energy and Utilities, Financial Services, Government and Public Services, Health and Life Sciences, and Transport.

Join our dynamic team building cloud‑native AI data platforms that power analytics, machine learning, and GenAI solutions across global, multi‑industry programs.

We are looking for a Senior AI/Data Platform Engineer with a strong focus on Google Cloud Platform to design, build, and operate scalable, AI‑ready data platforms. This hands‑on platform engineering role focuses on creating robust data foundations that enable advanced AI and GenAI use cases at enterprise scale, rather than on pure modeling or research.

Responsibilities

  1. GCP AI data platforms (primary focus)

Design and operate GCP‑based data platforms for analytics, ML, and GenAI

Build scalable data pipelines using BigQuery, Cloud Storage, Dataflow, Dataproc, or equivalents

Design data architectures that support high‑performance AI and ML workloads

Integrate structured and unstructured data sources at enterprise scale

  1. AI & GenAI enablement

Enable GenAI use cases such as RAG, semantic search, and AI agents on GCP

Implement embedding pipelines and vector search solutions (e.g. BigQuery, Vertex AI, or vector databases)

Collaborate with ML engineers and data scientists to support end‑to‑end AI workflows

Support deployment and operation of AI workloads using Vertex AI or equivalent services

  1. Platform reliability & optimization

Monitor and optimize performance, scalability, and cost of GCP data platforms

Implement CI/CD, data quality, and observability practices

Contribute to platform standards, reference architectures, and best practices

Here's what you'll need

5+ years of experience in Data Engineering or AI data platform roles

Strong hands‑on experience with Google Cloud Platform

Deep experience with BigQuery and cloud‑native data architectures

Strong programming skills in Python , SQL , or similar languages

Practical understanding of AI/ML/GenAI data requirements

Experience operating production data platforms at enterprise scale

Nice to have

Experience with Vertex AI and managed ML services

Familiarity with streaming technologies (e.g. Pub/Sub, Dataflow streaming)

Multi‑cloud experience (AWS, Azure + GCP)

Experience in consulting or complex, multi‑project environments

We offer

Rewarding employment full-time employment/b2b contract with a salary that matches your qualifications

Hybrid work model - enjoy the flexibility of working from home, with just several office days per month

Flexible hours - start your day anytime between 7:30 and 10:00 AM

Comprehensive benefits, including Lux Med medical care, psychological support, life insurance, My Benefit cafeteria system, Multisport card co-financing, and a car/bike park sharing system

Co-financed holidays - enjoy "Wczasy pod Gruszą" for a well-deserved break

Global projects - engage in exciting international projects

Inclusive networks - join our diverse employee networks like Women's Network, OneWorld, PRISM, Careers Network, Green Team, SpeakUp, Collectively, and more

Continuous learning - participate in our Graduate Development Program, Learners’ Community, and self-learning platforms

Language courses - enhance your skills with courses in English, German, and Polish

We know that if we are inclusive, we’re more connected, and if we are diverse, we’re more creative. We accept people for who they are, regardless of age, disabilities, gender identity, gender expression, marital status, mental health, race, faith or belief, sexual orientation, socioeconomic background, and whether you’re pregnant or on family leave. Find out more about life at Jacobs. As a Disability Confident employer, we will interview all disabled applicants who meet the criteria for a vacancy. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team [1] recruitmentpoland@jacobs.com

#LI-KK3

Your application experience is important to us, and we’re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support .

ML/AI Work links you to the employer's original posting — always verify the details there before applying.

More Machine Learning roles

View all →
Senior AI/Data Platform Engineer (GCP, AI & GenAI Platforms)
Jacobs
Apply →