About this roleIn this role, you can expect to:- Provide technical leadership, set architectural direction, and drive key design decisions across multidisciplinary teams.
- Design, build, and operate production AI/ML systems across areas such as generative AI, intelligent agents, predictive modeling, and optimization.
- Develop reusable AI platforms, services, and infrastructure that accelerate experimentation, deployment, monitoring, and adoption across the firm.
- Translate emerging AI capabilities into robust, scalable solutions that deliver measurable business impact.
- Define evaluation, testing, and observability approaches for AI systems, including non-deterministic and agentic applications.
- Optimize AI systems and workloads for latency, throughput, compute efficiency, reliability, security, and cost.
- Partner with business, engineering, data, risk, and control teams to take solutions from concept through production deployment and ongoing operation.
- Establish engineering standards, mentor engineers, and influence technical strategy across teams.
The minimum requirements for this position are:- 8+ years of software engineering experience, including significant experience designing, building, and operating complex production systems.
- 4+ years of experience building and deploying AI/ML, optimization, or other model-driven applications in production.
- Strong proficiency in Python and a track record of developing maintainable, well-tested production software.
- Strong SQL skills and experience working with data-intensive applications and large-scale datasets.
- Experience designing and building APIs, services, data pipelines, or distributed systems that support AI/ML applications.
- Experience with containerization and orchestration technologies, such as Docker and Kubernetes.
- Demonstrated ability to lead complex technical solutions from architecture and design through production deployment, operation, and continuous improvement.
- Strong problem-solving, collaboration, and communication skills, with the ability to influence technical decisions across multidisciplinary teams.
Additional knowledge and experience we value includes:- Experience collaborating with research teams in fast-moving environments, ideating quickly on research prototypes.
- Generative AI, large language models, AI agents, and architectures for production AI systems.
- Evaluation, experimentation, observability, debugging, and testing approaches for AI/ML systems, including non-deterministic and agentic applications.
- Machine learning and optimization frameworks such as PyTorch, TensorFlow, or JAX.
- Distributed systems, cloud infrastructure, model serving, orchestration, data pipelines, and API design.
- Performance optimization across latency, throughput, compute utilization, reliability, scalability, and cost.
- Responsible AI, security, governance, and controls in enterprise or regulated environments.
- Experience with a systems- or performance-oriented programming language such as Rust, C++, C, Go, or Zig.
- Experience in financial services or another regulated industry.
For New York, NY Only the salary range for this position is USD$190,000.00 - USD$240,000.00 . 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 benefitsTo 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 modelBlackRock'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 candidatesAt 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.
