Rust, AI Engineer, Director

About this role BlackRock is one of the world’s leading providers of investment, advisory, and risk management solutions, including Aladdin, our investment and risk management technology. Aladdin is a comprehensive technology platform used by BlackRock and delivered to our clients to unify the investment management process across public and private markets. It integrates risk, investment, and client management processes through a common data language, enabling scale, insights, and business transformation. At BlackRock, the Aladdin team comprises the Aladdin Client Business, Aladdin Wealth Tech, Aladdin Product, Aladdin Data, and Aladdin Engineering. Join our AI Platform Engineering team as part of Aladdin Engineering and be at the forefront of financial technology innovation. Aladdin Engineering is the team that designs, builds, and runs Aladdin. Within Aladdin Engineering, there are multiple engineering teams focused on building the different products and platform services for Aladdin. As part of the AI Platform Engineering team, you will play a crucial role in shaping the AI ecosystem across the firm and significantly influencing the Aladdin application ecosystem. We are looking for highly motivated and determined engineers to set and drive a clear AI Software Strategy, delivering cohesive AI experiences across the firm. At BlackRock, you will have the opportunity to work with some of the brightest minds in the industry, leveraging your insights and expertise to advance AI Platform Engineering. We value diversity and believe it is the key to our success, ensuring that your unique skills, curiosity, and passion are nurtured. Join us and grow both technically and personally while working at one of the most recognized financial companies in the world as part of an AI software development team. Key Responsibilities: Design, develop, and maintain the next generation of scalable AI platform for the world's best investment management technology platform. Implement and manage Kubernetes clusters for deploying AI models. Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure environments. Build and maintain automated pipelines for continuous training, testing, and deployment of machine learning models, with integrated enterprise concerns. Ensure the security and compliance of the platform. Troubleshoot and resolve issues related to platform performance and reliability. Refine business and functional requirements and translate them into scalable technical designs. Apply quality software engineering practices throughout the software development lifecycle. Work with team members in a multi-office, multi-country environment. Stay updated with the latest trends and technologies in AI and cloud engineering. Requirements: B.S./M.S. degree in Computer Science, Engineering, or a related subject area. 10+ years of experience in software and platform engineering. Proficiency in designing and building scalable APIs and microservices. Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions (CRDs). Hands-on experience with cloud platforms such as AWS, GCP, or Azure. Expertise in containerization technologies (Docker, containerd). Experience in CI/CD tools (Jenkins, GitHub Actions, ArgoCD). Knowledge of infrastructure such as code (IaC) tools like Terraform or CloudFormation. Solid understanding of networking concepts, security policies, and API gateways in cloud environments. Proficiency in production-grade programming languages such as Rust and C++. Decent understanding of distributed systems, cluster orchestration and management. Good knowledge of data science tools (e.g PyTorch, Jax, Numpy) and programming languages such as Python. Experience with monitoring tools (Prometheus, Grafana). Experience working in Agile development teams with excellent collaboration skills. Grit in the face of technical obstacles. Nice to have: Building SDKs or client libraries to support API consumption. Knowledge of distributed data processing frameworks (Spark, Dask). Understanding of GPU orchestration and optimization in Kubernetes. Familiarity with MLOps and ML model lifecycle pipelines. Experience with AI model training and fine-tuning. Familiarity with event-driven architecture and messaging frameworks like Kafka. Experience with NoSQL datastores like Cassandra. 
For New York, NY Only the salary range for this position is USD$220,000.00 - USD$275,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
 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. Guidance on AI use for candidates At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. To learn more about BlackRock, please visit Careers.BlackRock.com . We also encourage you to get to know us on LinkedIn , Instagram , YouTube , X , and TikTok . BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency stat