Applied AI Engineer, Vice President

BlackRock - New York, NY

Full-time - Mid Level

Remote - New York, NY

Funds, Trusts, and Other Financial Vehicles

About the position

As an AI Platform/Product Engineer at BlackRock, you will be instrumental in developing and enhancing the Aladdin AI Platform, a leading investment management technology platform. This role involves collaborating with a distributed team to create innovative AI/ML solutions that streamline investment lifecycle processes and research. You will engage in the full software development lifecycle, ensuring high-quality deliverables that meet business needs.

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.
• Leverage existing AI/ML infrastructure to develop new platform services.
• Collaborate with product engineering teams to implement comprehensive AI/ML-based solutions from start to finish.
• Work with team members in a multi-office, multi-country environment.
• Refine business and functional requirements and translate them into scalable technical designs.
• Apply quality software engineering practices throughout the software development lifecycle.
• Conduct code reviews, perform unit, regression, and user acceptance testing, and provide level two production support to ensure resilience and stability.

Requirements

• B.S./M.S. degree in Computer Science, Engineering, or a related subject area with 8-12 years, or equivalent experience.
• Strong proficiency and hands-on experience in object-oriented programming with Java and Python.
• Experience building applications using LLM frameworks such as LangChain, Llama Index, and Semantic Kernel.
• Familiarity with event-driven architecture and messaging frameworks like Kafka.
• Proficiency in designing and building scalable APIs and Microservices.
• Experience with cloud platforms such as Azure (Preferred), AWS, or GCP.
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Familiarity with relational databases and NoSQL databases like Apache Cassandra.
• Experience working in Agile development teams.
• Excellent collaboration skills.

Nice-to-haves

• Experience with ML model training and fine-tuning.
• Understanding of prompt engineering and prompt tuning.
• Knowledge of ML model evaluation to ensure consistent performance with changing data.
• Familiarity with MLOps and ML model lifecycle pipelines.

Benefits

• Strong retirement plan
• Tuition reimbursement
• Comprehensive healthcare
• Support for working parents
• Flexible Time Off (FTO)