AI Engineer, Assistant Vice President

Think 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

Nice to have:

• 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 

Note: The role requires a minimum of three days per week working from the office

Minimum Salary:​

zł182,004 Annual

The minimum salary quoted above applies to the role in the primary location specified. If the candidate ultimately works outside of this primary location, the applicable minimum salary may differ.​

Salary will be determined based on factors such as the position, type of work performed, individual skills, job description, working hours, diligence, initiative, self-management, length of employment, availability, and the quantity and quality of work delivered, as well as other objective and non-discriminatory criteria relevant to State Street employees.​

In addition to salary, employees are eligible to be considered for discretionary annual performance-based awards.​

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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

About State Street

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.