About this role
AI Infrastructure Engineer
At BlackRock, technology underpins everything we do. AI is a core strategic priority for the firm, embedded across Aladdin and our investment, client, and operational platforms. We are seeking an AI Infrastructure Engineer to help build and operate the foundational infrastructure that enables AI systems to scale safely, securely, and reliably across the enterprise.
This role sits within Aladdin Platform Engineering and focuses on the infrastructure and platform services required to support machine learning models, large language models (LLMs), and emerging AI capabilities in production. The successful candidate will work closely with AI Engineers, Data Scientists, Platform Engineers, Security, and Product partners to deliver resilient, cloud‑native AI platforms in a highly regulated environment.
Key Responsibilities
Design, build, and operate AI focused‑focused infrastructure platforms supporting model development, training, evaluation, and inference.
Engineer scalable, reliable, and secure cloud native‑native services to support AI workloads across AWS, Azure, and hybrid environments.
Partner with AI Engineering and Data Science teams to improve developer experience, performance, and operational stability of AI systems.
Enable production deployment of ML models and LLMs within governed enterprise environments, aligned with firmwide risk and compliance standards.
Implement and maintain infrastructure‑as‑code and automation to ensure repeatable, auditable platform provisioning.
Build and operate observability, monitoring, and alerting solutions for AI platforms, ensuring availability, performance, and cost transparency.
Collaborate with Security and Risk partners to integrate identity, access controls, data protection, and governance into AI infrastructure.
Contribute to architectural decisions and technical standards for AI platforms across Aladdin.
Participate in on-call rotations and operational support as required‑call rotations and operational support as required for critical platforms.
Continuously evaluate emerging AI infrastructure technologies and apply them pragmatically within BlackRock’s enterprise context.
Qualifications
Required
Strong experience in cloud infrastructure, platform engineering, or systems engineering roles.
Hands-on expertise‑on expertise with AWS and/or Azure and/or GCP, including Azure ML, Azure Foundry, AWS Bedrock, Google Vertex, as well as cloud compute, networking, storage, and security services.
Understanding of ML platform operations and governance concepts, including model deployment strategies, lifecycle management, monitoring/observability, and Disaster Recovery
Experience supporting LLMs, generative AI platforms, or model serving infrastructure.
Experience supporting AI and machine learning workloads, with exposure to managed compute for model training and fine‑tuning, experimentation over large datasets, and end‑to‑end MLOps pipeline flow including data ingestion, training, validation and deployment.
Proficiency with Infrastructure as Code‑as‑code tools (e.g., Terraform, ARM/Bicep, CloudFormation).
Strong programming or scripting skills (e.g., Python, Bash, or similar).
Experience building and operating containerized and Kubernetes based‑based platforms.
Solid understanding of reliability, scalability, observability, and operational best practices.
Ability to work effectively in cross‑functional teams and communicate complex technical concepts clearly.
Preferred
Familiarity with GPU or accelerator‑based infrastructure.
Experience working in financial services or other highly regulated industries.
Familiarity with multi‑cloud architectures and enterprise governance requirements.
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.
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.
For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock
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 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 [email protected]. All requests are treated in line with our privacy policy.
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.Skills Required
- Strong experience in cloud infrastructure, platform engineering, or systems engineering roles
- Hands-on expertise with AWS and/or Azure and/or GCP
- Understanding of ML platform operations and governance concepts
- Experience supporting LLMs, generative AI platforms, or model serving infrastructure
- Experience supporting AI and machine learning workloads and end-to-end MLOps
- Proficiency with Infrastructure as Code tools
- Strong programming or scripting skills
- Experience building and operating containerized and Kubernetes-based platforms
- Solid understanding of reliability, scalability, observability, and operational best practices
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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