Rust, AI Engineer, Director

About this role

BlackRock is one of the worlds 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 andmaintainthe next generation of scalable AI platform for the worlds 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 andmaintainautomated 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.

• Proficiencyin designing and building scalable APIs and microservices.

• Strongproficiencyin Kubernetes including Helm chartsKustomize and custom resource definitions (CRDs).

• Hands-on experience with cloud platforms such as AWS GCP or Azure.

• Expertisein containerization technologies (Dockercontainerd).

• Experience in CI/CD tools (Jenkins GitHub ActionsArgoCD).

• 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.

• Proficiencyin production-grade programming languages such as Rust and C.

• Decent understanding of distributed systems cluster orchestration and management.

• Good knowledge of data science tools ( 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 (SparkDask).

• 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$220000.00 - USD$275000.00 . 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

BlackRocks 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 weve provided guidanceon 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 childrens 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. Its why were 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 . 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 theEEOCs Know Your Rights poster and its supplementand thepay transparency statement.

BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process please email . All requests are treated in line with our.

BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law including any applicable fair chance law.