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Sign Up to ReadThink start-up energy, backed by enterprise scale.
We are building modern platforms within a global organization—combining the agility, ownership, and engineering freedom of a start-up with the stability and funding of an industry leader. You’ll work in a highly collaborative, international environment where your contributions directly shape real products used at scale.
Who we are looking for
We are seeking a AI Engineer, Assitant-Vice President to join State Street. This role focuses on the hands-on development and delivery of production-grade AI solutions that enable automation, insight generation, and scalable intelligence across enterprise platforms.
This is a technical, build-focused role requiring strong expertise in Generative AI, large language models (LLMs), machine learning, and modern AI engineering frameworks. You will partner with business, data, and platform teams to deliver AI systems that are scalable, secure, and aligned with enterprise standards and regulatory requirements.
This role can be performed in a hybrid model, where you can balance work from home and office to match your needs and role requirements.
What you will be responsible for
AI Engineering & Development
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
Production Delivery & Operations
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)
Data & Integration
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
Governance & Risk
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
Use Case Delivery
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
What we value
These skills will help you succeed in this role:
Engineering Expertise
Strong programming skills in Python
Experience building production-grade AI/ML systems
Experience with microservices and API-based architectures
Generative AI & Advanced AI
Hands-on experience with: LLMs and prompt engineering, RAG pipelines and embeddings, Vector search and retrieval systems
Experience building agent-based AI workflows
AI Platforms & MLOps
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
Data & Systems Knowledge
Understanding of data engineering concepts and distributed systems
Ability to integrate AI systems with enterprise data platforms and APIs
Enterprise & Collaboration
Experience working in regulated or enterprise environments
Ability to translate business needs into practical AI solutions
Strong collaboration and communication skills
Education&Other
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
Hybrid, 3 days a week in the office
State Street
Office in Krakow, Poland
Also hiring in Sydney, Australia, Boston, United States, Austin, United States and 17 more places
12 of their 242 open roles are remote
Worth a look before you spend an evening tailoring a CV for it.
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