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