Forward Deployed Data and AI Engineer
Ernst and Young2 months ago
Warsaw, PolandMid Level
Responsibilities
- Work directly with client business teams to understand problems and deliver end-to-end data and AI solutions.
- Profile, clean, transform, join, and integrate messy real-world data while building lightweight pipelines and data products.
- Design, build, and demonstrate AI/ML workflows, GenAI applications, agentic-AI solutions, and RAG patterns.
- Rapidly prototype, demo, iterate on feedback, and assess whether ideas should proceed.
- Define data requirements, source mappings, solution designs, and production handoff needs.
- Build with attention to data quality, lineage, privacy, guardrails, compliance, EU AI Act, GDPR, and data residency.
- Collaborate with technical leads, architects, business stakeholders, and multidisciplinary teams.
- Contribute reusable accelerators, connectors, assets, and engineering practices.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or a related field, or a master’s degree for the senior-position alternative.
- Approximately 3+ years of hands-on data, AI, or software engineering experience for the senior position, or approximately 2 years with a master’s degree.
- Strong Python and SQL skills with experience building ETL/ELT data pipelines and AI/ML or GenAI solutions.
- Experience with LLM and agent frameworks such as Semantic Kernel, Azure AI Agent Service, LangChain, LangGraph, or Bedrock Agents.
- Ability to profile, wrangle, integrate, and model messy data end to end.
- Hands-on cloud experience with Azure, AWS, or Google Cloud and related AI, data, and serverless services.
- Good communication skills and comfort working directly with non-technical stakeholders.
- Preferred experience includes financial services or regulated industries, AML/KYC, EU AI Act, GDPR, data residency, features, embeddings, retrieval corpora, rapid prototyping, hackathons, startups, MLOps, DataOps, LLMOps, dbt, Spark, Kafka, cloud certifications, consulting, or product backgrounds.
Benefits
- Work on transformation programs for leading financial institutions, including insurance and reinsurance organizations.
- Exposure to modern cloud technologies, advanced analytics, reporting transformation, and AI-driven solutions.
- Collaboration with multidisciplinary business, engineering, analytics, and AI teams.
- Access to AI tools as part of daily work and diverse international projects with ongoing learning opportunities.
- Professional and financial support for recognized qualifications and certificates, including EY Badges and an opportunity to earn an MBA title from Hult International School of Business.
- One-to-one career guidance through a Career Counselor.
- Free mental-health and personal-development consultations and educational activities through a psycho-educational platform.
- Benefits may include private healthcare, preventive examinations, life insurance, tickets, team sports, language learning, and sports cards.
Tech Stack
Categories
Forward Deployed
About Ernst and Young
Ernst & Young (EY) provides audit/assurance, tax, consulting, strategy and transactions services to enterprises, financial institutions, and public‑sector clients. Structured as a global network of partner‑owned member firms, it sells professional services on a fee basis, including a dedicated Financial Services Organization for banking, insurance, and capital markets. Headquartered in London, EY was formed in 1989 from the merger of Ernst & Whinney and Arthur Young, and operates in 150+ countries.