E

Ernst & Young

Global professional services: consulting, assurance, tax

Data and AI Architect

AI Application EngineeringUpdated on Nov 14
Full-timeWarsaw, PolandNo salary listed

About the Job

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 machine learning, 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, generative AI and agentic patterns, including retrieval-augmented generation, orchestration, evaluation and guardrails.
  • Experience making architecture decisions under time pressure and ambiguity, ideally in a consulting, product or forward-deployed setting.
  • Experience communicating with technical and senior business audiences.

Responsibilities

  • 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 machine learning 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 machine learning, 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.

Desired Qualifications

  • Financial services or other regulated-industry experience, and familiarity with the governance landscape, including anti-money laundering and know-your-customer requirements, 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.

About the Company

Ernst & Young

Global professional services: consulting, assurance, tax

EY (Ernst & Young) provides professional services at a global scale, offering consulting, assurance, tax, and transaction advisory services. It serves clients across industries such as technology, media, real estate, hospitality, and construction. Instead of selling a single product, EY works with clients through tailored engagements where cross-disciplinary teams analyze challenges, design strategies, perform audits, help with tax planning, and assist with mergers or divestitures. What sets EY apart is its worldwide reach and integrated service model, industry-specific expertise, and focus on responsible business practices like sustainability, cybersecurity, and workforce flexibility. EY’s goal is to help organizations improve performance, manage risk, and achieve sustainable growth while building a better working world.

Company size
5,001-10,000
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

Recently Posted Jobs

Explore more opportunities at Ernst & Young

See more jobs