Data and AI Architect

EY; Warszawa; Hybrid; PLN 300,000 - 520,000; Full time

Benefits offered by this job

EY Badges

Hybrid working

Private healthcare

Career counseling

Job summary

EY Poland is seeking a Forward-Deployed Architect in the Applied AI Engineering team to shape the technical direction of client projects across data engineering, AI/ML workflows, and agentic AI systems.

You will embed with clients and forward-deployed teams, making architecture decisions from day one and ensuring production-ready designs with governance in mind, including GDPR, DORA and the EU AI Act.

Qualifications

• Master's degree in Computer Science, Engineering or related field and ~10+ years in software, data or AI engineering/architecture.
• Track record of designing solutions across data, AI/ML or agentic systems from concept to production.
• Strong architecture skills across cloud stacks (Azure/AWS/GCP) with hands-on coding ability.
• Solid data architecture knowledge: pipelines, lakes, warehouses and governance; familiarity with GenAI, agentic patterns, and guardrails.
• Experience making architecture decisions under time pressure in consulting/product/forward-deployed contexts.
• Excellent communication with technical and senior business audiences.

Responsibilities

• Embed with client and forward-deployed teams to shape architecture from discovery to first prototype across data/AI/ML and agentic systems.
• Make fast, pragmatic technology and design decisions under ambiguity for scalable outcomes.
• Define target architecture and a credible path to production for prototypes to production handoff.
• Ensure prototypes are built securely with data handling, lineage, guardrails and compliance early on (GDPR, EU AI Act, DORA).
• Evaluate and select tools/frameworks across data/AI stacks to fit the problem.
• Act as technical translator between business intent and forward-deployed teams.
• Manage and grow project blueprints and accelerators.
• Identify and communicate technical risk, cost and feasibility early to inform decisions.
• Partner with client enterprise/solution architects to align with standards and reference architectures.
• Present and defend the technical direction to senior client stakeholders.

Skills

Architecture design

Data engineering

AI/ML workflows

Agentic AI

Cloud platforms

Communication

Education

Master's degree in CS/Engineering

Tools

Azure OpenAI

Azure ML

Data Factory

Synapse/Fabric

Bedrock/SageMaker/Vertex AI

Job description

Our Applied AI Engineering team designs and builds solutions that create real, measurable value for our clients across data engineering, AI and ML workflows, and agentic AI. We often work in complex, regulated environments such as financial services. We are looking for a Forward-Deployed Architect to shape the technical direction of our solutions from day one, in the field.

As a Forward-Deployed Architect within EY's Applied AI Engineering team, you will work closely with clients and forward-deployed engineering teams, making architecture decisions that shape solutions from the first prototype across data engineering, AI and ML workflows, and agentic AI systems.

EY.AI: in this role, you will work in an environment where AI agents are part of the team and everyday project delivery. You will use solutions tailored to specific business areas to analyse data, generate recommendations and design solutions, helping teams move faster from analysis to action and create value for clients.

Your scope of duties

• Embed with client and forward-deployed teams to shape the architecture of data and AI solutions from discovery through the first working prototype, across data processing, AI and ML workflows, and agentic systems.
• Make fast, pragmatic technology and design decisions under ambiguity, choosing patterns that balance speed now with scalability later.
• Define the target architecture and a credible path to production so validated prototypes can move seamlessly into the production build phase.
• Ensure prototypes and solutions are built responsibly and securely from the start, with data handling, lineage, guardrails and compliance considerations identified early, including the EU AI Act, GDPR, DORA and model risk.
• Rapidly evaluate and select tools, services and frameworks across data platforms, AI and ML, and agentic AI that fit the problem at hand.
• Act as the technical translator between business intent and forward‑deployed engineering teams.
• Manage and grow the pool of project blueprints and accelerators.
• Identify and communicate technical risk, cost and feasibility early to inform build, pivot or stop decisions.
• Partner with client enterprise and solution architects to align delivery decisions with enterprise standards and reference architectures.
• Present and defend the technical direction to senior client stakeholders.

Our requirements

• A master's degree in Computer Science, Engineering or a related field, and approximately 10+ years of software, data or AI engineering and architecture experience.
• A track record of designing solutions across data, AI and ML, or agentic systems and taking them from concept towards production.
• Strong architecture skills and working experience in at least one of the following stacks: Microsoft Azure, including Azure OpenAI, Azure AI Foundry or Azure Machine Learning, Azure Functions, Azure Data Factory, Microsoft Fabric or Synapse; AWS, including Bedrock, SageMaker, Lambda or Glue; or Google Cloud, including Vertex AI, BigQuery or Dataflow, together with hands-on coding ability.
• A strong grasp of data architecture, including pipelines, lakes, warehouses and governance, and of AI, GenAI and agentic patterns, including RAG, orchestration, evaluation and guardrails.
• Experience making architecture decisions under time pressure and ambiguity, ideally in a consulting, product or forward-deployed setting.
• Excellent communication skills with both technical and senior business audiences.

Ideally, you'll also have

• Financial services or other regulated-industry experience, and familiarity with the governance landscape, including AML and KYC, model risk or SR 11-7, the EU AI Act, DORA and GDPR.
• Breadth across data engineering, AI workflows and agentic AI, and experience bridging prototype and production by defining handoffs and target architectures.
• A consulting or startup background.
• A history of creating reusable patterns and accelerators.

What we offer

• Innovate EY, unique programmes where you can create your own start‑up using our know‑how and funding.
• A convenient hybrid working model.
• 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.

Recruitment stages

• Let's talk. You will meet with Talent Acquisition specialists and representatives of your future team.

About EY Poland

We are a global consulting firm, helping businesses, organisations and communities make the most of their potential.

Our audit, consulting, legal, strategy, tax and transaction teams ask the nonobvious questions to find new answers to the complex challenges facing the world today.

We employ more than 390,000 exceptional people in over 150 countries around the world. In Poland there are over 7,000 of us, working in Warsaw, Gdansk, Katowice, Krakow, Lodz, Poznan, Rzeszow and Wroclaw.

We create amazing things together every day. We have the people, the development path and the training to help you grow fast, gaining experience on successive projects.

We care about the environment, not just the business. As part of our plan, we have reduced our global greenhouse gas emissions by 43% from a 2019 baseline.

EY is an equal opportunity employer. We value and promote diversity in the knowledge and experience of our community. We operate the Level Up Without Barriers programme, which supports employees with disabilities in achieving their career ambitions and dreams.

EY provides all applicants with equal opportunities in the recruitment process, regardless of gender, age, race, religion, sexual orientation, national origin, disability or any other legally protected basis, in accordance with applicable law.