EY provides human capital, business law, and taxation services.

Join our Applied AI Engineering team and help design and build solutions that create measurable business value for our clients. You will work across data engineering, AI/ML workflows and agentic AI solutions, often within complex and regulated environments. This is a hands-on technical leadership role where you will collaborate directly with client teams, rapidly prototype innovative solutions and shape the future of AI-powered transformation. 
 
EY.AI is an environment where AI agents are part of the team and everyday project delivery. You will use solutions tailored to specific business domains, helping analyse data, generate recommendations and design impactful solutions that enable faster decision-making and greater value creation. 
 
Your scope of duties 
 


* Embed directly with client business teams to identify, frame and prioritise high-value data and AI opportunities.
* Design, prototype and demonstrate working solutions spanning data processing, data products, AI/ML workflows and agentic AI solutions using cloud-native technologies.
* Lead a pod of forward-deployed engineers, providing technical direction, reviewing work and removing delivery obstacles while remaining hands-on in development.
* Make pragmatic build, pivot or stop decisions based on business value and validated learning.
* Translate validated prototypes and requirements into scalable, production-ready delivery opportunities.
* Build trusted relationships with client stakeholders and bridge business and technical perspectives.
* Promote responsible AI and compliance-by-design principles from the earliest stages of solution development.
* Mentor and develop engineers while contributing to reusable assets, accelerators and engineering best practices. 
 
 

Our Requirements 
 


* Bachelor’s degree in Computer Science, Engineering or a related field with approximately 8+ years of hands-on software, data or AI engineering experience, including technical or team leadership responsibilities.
* Proven experience delivering data or AI solutions from prototype to real-world adoption.
* Strong Python programming skills and solid software engineering fundamentals.
* Experience across multiple areas including data processing and pipelines, AI/ML workflows, LLM and agentic AI frameworks, and Retrieval-Augmented Generation (RAG) solutions.
* Hands-on experience with cloud engineering, preferably Microsoft Azure, as well as AWS and/or Google Cloud, including infrastructure-as-code practices.
* Experience working directly with business stakeholders in consulting, product or forward-deployed environments.
* Excellent communication skills with the ability to engage effectively with both business and technical audiences.
* Ability to thrive in ambiguity, demonstrate strong business acumen and take ownership of outcomes. 
 
 

What We Offer 
 


* Opportunity to work at the forefront of Applied AI Engineering, delivering real business impact for leading organisations.
* Exposure to cutting-edge technologies across data, AI/ML, agentic AI and cloud platforms.
* Opportunity to lead high-performing engineering teams and influence technical strategy.
* Professional and financial support in obtaining recognised qualifications and certificates.
* EY Badges - global certification of your competencies and the opportunity to earn an MBA title from the prestigious Hult International School of Business.
* Career Counselor - professional, one-to-one guidance on career building and development.
* Psycho-educational platform - a package of free consultations with specialists in the broad field of mental health and personal development and access to educational activities.
* Benefit programme offering private healthcare with additional preventive examinations, life insurance, tickets, team sports, language learning platform, sports cards and much more (available online and offline).
* Convenient hybrid working model. 
 
 

Recruitment stages 
 


* Apply. If this is your first application, create a profile and upload your CV.
* Let's talk. You will meet with our Talent Acquisition specialists and representatives of your future team. 
 
 

About EY Poland 
 
We are a global consulting and technology company. 
 
We make a difference. We transform and reinvent services, products, organisations and even the rules of the game. From both business and technology perspectives, we harness the power of artificial intelligence and exceptional talent. We help organisations solve complex challenges, make better decisions and implement meaningful change. 
 
We provide confidence in data, insights, standards, technology and security. 
 
Every day, we take on challenges, explore opportunities, prompt, analyse, collaborate, ask the right questions, plan, model, code, experiment and learn, creating solutions that are critical to our clients' success. 
 
This is a place where lifelong friendships, relationships and memories are built. 
 
This is where you do meaningful and challenging work alongside supportive and exceptional people. 
 
We employ more than 390,000 people in over 150 countries worldwide. In Poland, our team consists of over 7,000 professionals working in Warsaw, Gdańsk, Katowice, Kraków, Łódź, Poznań, Rzeszów and Wrocław, as well as in our Global Delivery Services centres in Warsaw and Wrocław. 
 
We care about the environment as much as business. As part of our sustainability commitments, we have reduced our global greenhouse gas emissions by 40% compared with our 2019 baseline. 
 
EY is an equal opportunity employer. We value and promote diversity of knowledge, experience and perspectives within our community. We foster a culture built on respect, openness and collaboration, where everyone can develop and make a meaningful impact. Through our “Poziom Wyżej bez Barier” programme, we actively support employees with disabilities in achieving their career aspirations. 
 
EY provides equal opportunities to all candidates throughout the recruitment process, regardless of gender, age, race, religion, sexual orientation, origin, disability or any other legally protected characteristic, in accordance with applicable law.

Data

Wireframing/prototyping

Software Development

Cloud

Python

Amazon

Azure

Google Cloud Platform

Security software

Support

Game Engine Development

Game Design

Communications

System security

Community management

Team collaboration

Infrastructure as Code

Data Engineering

Data Pipelines

Cloud Native

Forward Deployed Data and AI Tech Lead