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State Street

AI Engineer, Assistant Vice President

  • Hybrid
  • 6+ years

Salary

Not stated

AI summary

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Description

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

Requirements

  • 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.​
  • ​

Benefits

  • 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.
  • Discover more information on jobs at StateStreet.com/careers
  • Read our CEO Statement
  • State Street's Speak Up Line
  • Załącznik do standardu Whistleblowing i Speak Up SSBI GmbH dla Oddziału w Polsce

Where you’d work

Hybrid, 3 days a week in the office

About the company

State Street

  • Industry: FinTech

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

Your chances

Worth a look before you spend an evening tailoring a CV for it.

  • 20 checks run
  • 2 red flags

Still hiring?

14 checks

1 red flag

How crowded?

6 checks

1 red flag

Fits Me

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  • Your field
  • Level
  • Stack
  • Work model
  • Salary floor
  • Must-haves
Details13 facts · Role, Location, Compensation, Employment, Company
Tech stack
  • Python
  • AWS
  • Azure
  • Databricks
  • Snowflake
  • LLMs
  • RAG
  • Vector databases
Seniority
VP / C-level
Type
Full-time
Industry
FinTech
Specialty
ML
Region
Europe
Show 7 more factsShow less

Role

Category
Data & Analytics
Specialty
ML
Seniority
VP / C-level
Experience
10+ years
Tech stack
  • Python
  • AWS
  • Azure
  • Databricks
  • Snowflake
  • LLMs
  • RAG
  • Vector databases

Location

Work model
Hybrid
Region
Europe
Office
  • Krakow, Poland
Days in the office
3 days

Compensation

Salary
Salary by agreement
Pay period
Annual

Employment

Type
Full-time

Company

Industry
FinTech

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