Applied AI Engineer, Vice President

About This Role

Join BlackRock's AI Engineering team as a part of Aladdin Engineering and be at the forefront of financial technology innovation. Aladdin Engineering is the team that designs, builds, and runs Aladdin, a comprehensive technology platform used by BlackRock and delivered to clients to unify the investment management process across public and private markets. As a part of the AI Engineering team, you will play a crucial role in shaping the AI ecosystem across the firm and the Aladdin application ecosystem.

Key Responsibilities

• Design and build the next generation of the world's best investment management technology platform, focusing on managing various investment lifecycle processes and investment research.
• Integrate new AI services across the platform and Aladdin application ecosystem.
• Refine business and functional requirements and translate them into scalable technical designs.
• Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.
• Apply quality software engineering practices throughout the software development lifecycle.
• Optimize the software delivery and workflow of the team.
• Work with team members in a multi-office, multi-country environment.

Requirements

• B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 4+ years of proven experience, or equivalent experience.
• Proficiency and hands-on experience in object-oriented programming with Java and Python.
• Proficiency in designing and building scalable APIs and Microservices.
• Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.
• Ability to reverse engineer existing applications.
• Grit in the face of technical obstacles.
• Experience working in Agile development teams with excellent collaboration skills.

Nice To Have

• Understanding of prompt engineering and prompt tuning.
• Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel.
• Experience with vector databases like Faiss or Chroma.
• Knowledge of ML model evaluation to ensure consistent performance with changing data.
• Familiarity with MLOps and ML model lifecycle pipelines.
• Experience with ML model training and fine-tuning.
• Familiarity with event-driven architecture and messaging frameworks like Kafka.
• Experience with NoSQL datastores like Cassandra.
• Knowledge of containerization and orchestration technologies.

Our Benefits

To help you stay energized, engaged, and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents, and Flexible Time Off (FTO) so you can relax, recharge, and be there for the people you care about.

Our Hybrid Work Model

BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.