Director, Rust AI Engineer

Blackrock

Confirmed live 2 days ago High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$220,000–$275,000 / yr
Posted
97 days ago
Freshness
Confirmed live 2 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $217k
This role $248k
$155k most similar roles pay here $288k

This role pays more than 70% of similar roles. Most pay $177,287–$256,112 — the shaded band above. At the midpoint, this role pays about $248k versus about $217k for comparable roles.

Based on 240 similar postings.

Employer

About Blackrock

BlackRock is the world''s largest asset management firm, providing investment management, risk management, and advisory services to institutional and retail clients through its Aladdin technology platform. Industry: Asset Management & Financial Services

Blackrock currently has 81 open roles on FindRole.

Listed pay typically runs $147,500–$195,000 across 77 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Director, Rust AI Engineer

Rust, AI Engineer, Director joins the AI Platform Engineering team within Aladdin Engineering to shape the firm's AI ecosystem and influence the Aladdin application environment. This role involves designing, developing, and maintaining a scalable next-generation AI platform for investment management technology. Key responsibilities include managing Kubernetes clusters for model deployment, building cloud-native infrastructure abstractions across AWS, GCP, or Azure, and creating automated pipelines for continuous training and testing of machine learning models. The candidate will utilize Rust, C++, Python, and data science tools like PyTorch, Jax, and Numpy. Technical requirements include expertise in Docker, Helm, Terraform, and CI/CD tools such as Jenkins and ArgoCD. The role addresses the challenge of building a cohesive AI software strategy while ensuring security, performance, and reliability for high-scale financial technology infrastructure.

What you'll do

  • Design, develop, and maintain a scalable AI platform for investment management technology.
  • Implement and manage Kubernetes clusters to deploy machine learning models.
  • Build platform abstractions to manage cloud-native infrastructure across AWS, GCP, or Azure.
  • Create automated pipelines for the continuous training, testing, and deployment of ML models.
  • Ensure the security and compliance of the AI platform.
  • Troubleshoot and resolve issues related to platform performance and reliability.
  • Translate business and functional requirements into scalable technical designs.
  • Apply quality software engineering practices throughout the entire development lifecycle.

What we're looking for

  • A B.S./M.S. degree in Computer Science, Engineering, or a related field is required.
  • Candidates must have 10+ years of experience in software and platform engineering.
  • Proficiency in designing and building scalable APIs and microservices is required.
  • Strong proficiency in Kubernetes, including Helm charts, Kustomize, and custom resource definitions is required.
  • Hands-on experience with cloud platforms such as AWS, GCP, or Azure is required.
  • Expertise in containerization technologies like Docker and containerd is required.
  • Experience with CI/CD tools (Jenkins, GitHub Actions, ArgoCD) and IaC tools (Terraform, CloudFormation) is required.
  • Proficiency in production-grade programming languages such as Rust and C++ is required.

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