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AI Engineer, Assistant Vice President

STATE STREET BANK INTERNATIONAL GMBH Zobacz wszystkie oferty

Praca hybrydowa

Mid

Kraków

Wygasa 26 wrz 2026

24 dni temu

W skrócie

AI Engineer, Assistant Vice President at STATE STREET BANK INTERNATIONAL GMBH in Kraków. Design, build, deploy AI/ML solutions, LLM apps, RAG pipelines. Python, MLOps/LLM

Ops required. Hybrid work. BS/MS degree.

Słowa kluczowe

Python AI ML LLM RAG MLOps APIs Databricks Azure AWS

Skrót przygotowany przez AI na podstawie treści ogłoszenia.

Technologies we use

About the project

Your responsibilities

Design, build, and deploy production AI and ML solutions
Develop LLM-based applications, including prompt engineering and inference workflows
Build RAG pipelines using structured and unstructured enterprise data
Implement embeddings, semantic search, and vector-based retrieval
Develop agent-based and multi-step AI workflows
Build and maintain AI services and APIs for enterprise use
Implement MLOps / LLMOps practices, including:
Model deployment, versioning, and monitoring
Evaluation, logging, and rollback strategies
Optimize systems for performance, scalability, and cost efficiency
Integrate AI solutions with Databricks, Snowflake, and cloud platforms (Azure / AWS)
Ensure data readiness for AI use cases (quality, access, transformation)
Integrate AI solutions with enterprise data platforms and APIs
Partner with data teams to support AI-driven pipelines and workflows
Implement controls for data privacy, security, and model reliability
Apply techniques for validation, explainability, and hallucination mitigation
Align with enterprise standards for compliance and auditability
Translate business problems into deployable AI solutions
Deliver use cases such as:
Intelligent document processing
AI copilots for operations and analytics
Data-driven insights for markets and corporate functions

Our requirements

Strong programming skills in Python
Experience building production-grade AI/ML systems
Experience with microservices and API-based architectures
Hands-on experience with: LLMs and prompt engineering, RAG pipelines and embeddings, Vector search and retrieval systems
Experience building agent-based AI workflows
Experience with platforms such as Databricks, Azure AI, or AWS AI services
Knowledge of MLOps / LLMOps, including deployment and monitoring
Ability to optimize systems for latency, scale, and cost
Understanding of data engineering concepts and distributed systems
Ability to integrate AI systems with enterprise data platforms and APIs
Experience working in regulated or enterprise environments
Ability to translate business needs into practical AI solutions
Strong collaboration and communication skills
B.S. degree in Computer Science, Engineering, Mathematics, and Physics or other technical course of study required. MS degree strongly preferred.
Min. 8-10 years of relatable experience including 3+ years in AI/ML/Generative AI

Optional

Experience in financial services or capital markets
Familiarity with Databricks or Snowflake
Experience building: AI copilots, Document intelligence solutions
Exposure to AI governance or model risk frameworks

What we offer

Permanent contract from day one
Additional holidays (Birthday Day Off, 3rd and 5th year anniversary Day Off)
Gold Medical Package for employees and their families (partner and children)
Premium life insurance package and private pension plan
Wide range of soft skills training, technical workshops, language classes and development programs
Opportunities to volunteer your time to company-driven initiatives, employee networks or organizations of your choice
Variety of well-being programs
Additional benefits available depending on the seniority of the role