About this role
Your teamTechnology underpins everything we do at BlackRock, and Artificial Intelligence (AI) is a strategic priority across Aladdin and our investment, client, and operational platforms. Within Aladdin Platform Engineering, our team builds and operates the foundational infrastructure and platform services that enable machine learning, large language models, and emerging AI capabilities to run securely, reliably, and at enterprise scale.
We work across AI Engineering, Data Science, Platform Engineering, Security, Risk, and Product to build resilient, cloud-native platforms for a highly regulated environment. This role offers the opportunity to shape the engineering foundations that enable AI capabilities across Aladdin.
Your role and impact
As an AI Infrastructure Engineer, you will design, build, and operate the foundational platforms that support AI workloads throughout their lifecycle, from development and experimentation through training, evaluation, deployment, and inference.
You will help create scalable, reliable production environments while embedding security, governance, observability, automation, and operational resilience into the platform. You will contribute to architectural decisions and technical standards as AI capabilities and infrastructure continue to evolve across Aladdin.
Your responsibilities
In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities:
- Design, build, and operate scalable, reliable, and secure cloud-native infrastructure supporting AI model development, training, evaluation, deployment, and inference across public cloud and hybrid environments.
- Partner with AI Engineering, Data Science, Platform Engineering, and Product teams to improve developer experience, platform performance, and operational stability while contributing to AI platform architecture and technical standards.
- Enable production deployment of machine learning models and large language models within governed enterprise environments, integrating identity, access controls, data protection, security, and risk requirements.
- Implement Infrastructure as Code (IaC) and automation to enable repeatable, consistent, and auditable platform provisioning and configuration.
- Build and operate observability, monitoring, and alerting capabilities that provide visibility into AI platform availability, performance, reliability, capacity, and cost.
- Participate in operational support and on-call rotations for critical platforms, contributing to incident response and resilient production services.
- Evaluate emerging AI infrastructure technologies and engineering approaches, applying capabilities appropriate to BlackRock’s enterprise environment.
Your experience
- Demonstrated experience in cloud infrastructure, platform engineering, systems engineering, or a closely related discipline, including designing and operating services across major public cloud and hybrid environments.
- Experience supporting AI and machine learning platforms across the development and production lifecycle, including training, fine-tuning, experimentation, validation, model deployment and serving, lifecycle management, observability, resilience, disaster recovery, and end-to-end Machine Learning Operations (MLOps) pipelines.
- Proficiency with Infrastructure as Code, cloud infrastructure provisioning, and automation, supported by programming or scripting capability.
- Experience building and operating enterprise-grade containerized platforms that support declarative infrastructure and horizontal scaling, with a strong understanding of reliability, scalability, observability, and production engineering practices.
- Familiarity with graphics processing unit (GPU) or other accelerator-based AI infrastructure, multicloud architectures, and enterprise governance requirements.
- Ability to collaborate effectively across engineering, security, risk, data, and product teams and communicate complex technical concepts clearly. Experience in financial services or another highly regulated environment is beneficial.
Our benefits
To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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 Employer. We evaluate qualified applicants without regard to age, disability, race, religion, sex, sexual orientation and other protected characteristics at law.
Skills Required
- Strong experience in cloud infrastructure, platform engineering, or systems engineering roles
- 4+ hands-on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, and cloud compute, networking, storage, and security services
- Understanding of ML platform operations and governance including model deployment strategies, lifecycle management, monitoring/observability, and disaster recovery
- Experience supporting LLMs, generative AI platforms, or model serving infrastructure
- Experience with AI/ML workloads including managed compute for training/finetuning and end-to-end MLOps pipelines
- Proficiency with Infrastructure as Code tools (Terraform, ARM/Bicep, CloudFormation)
- Strong programming or scripting skills (Python, Bash, or similar)
- Experience building and operating containerized and enterprise-grade container orchestration platforms supporting declarative infrastructure and horizontal scaling
- Solid understanding of reliability, scalability, observability, and operational best practices
- Ability to work in cross-functional teams and communicate complex technical concepts clearly
- Participate in on-call rotations and operational support for critical platforms
- Familiarity with GPU or accelerator based infrastructure
- Experience working in financial services or other highly regulated industries
- Familiarity with multicloud architectures and enterprise governance requirements
BlackRock Compensation & Benefits Highlights
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision plans with HSA/FSA options and telemedicine. Mental-health resources such as counseling/EAP, wellness incentives, and Calm access are also featured.
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Retirement Support — Retirement programs include savings plans, employer-supported contributions described as competitive in summaries, and financial education resources. An Employee Stock Purchase Plan is also noted in certain locations.
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Parental & Family Support — Parental leave is gender-neutral with up to 16 weeks for primary caregivers and 4 weeks for non-primary caregivers. Additional supports include adoption assistance, fertility benefits in some locations, childcare/elder-care resources, and nursing-mother programs.
BlackRock Insights
What We Do
As the world’s largest asset manager, BlackRock partners with investors around the globe to help them (and those on whose behalf they invest) plan for life’s most important goals – like retirement, home ownership and their children’s education. Our clients range from governments, foundations and other large institutions to those investing on behalf of individuals, including firefighters, nurses, teachers and factory workers. BlackRock was founded with the idea of creating a better asset management firm — one that was purpose-driven, focused on clients and risk management, and propelled by data and technology. Our breakthrough Aladdin® platform is BlackRock’s technological backbone, helping investors see and manage their whole portfolios in one place – from constructing investments to monitoring risk and executing trades. Used by hundreds of external institutions around the world, Aladdin combines powerful analytics and a common language to help investment teams make faster, more informed decisions across public and private markets. It’s a key part of our business and one of the reasons we’re trusted to manage more assets than any other investment manager today. At BlackRock, we challenge conventions and raise the bar for what’s possible. We harness technology to unlock new solutions, simplify complexity, and deliver investment strategies that meet people where they are. Whether it’s retirement planning, wealth building or navigating market shifts, we’re here to help clients invest more easily, more affordably and with more choice as we chart a path toward financial well-being together. Learn more: Careers.BlackRock.com
Why Work With Us
Without our people, technology is irrelevant. When we combine the power of people with the power of technology, we amplify our ability to create better outcomes for our employees, clients, shareholders and society alike.
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Employees engage in a combination of remote and on-site work.
BlackRock has 25,000 employees across more than 100 offices in over 40 countries around the world.
