Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labs

Blackrock

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$190,000–$240,000 / yr
Posted
25 days ago
Freshness
Confirmed live today
Closes
Oct 29, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $212k
This role $215k
$168k most similar roles pay here $259k

This role pays more than 55% of similar roles. Most pay $177,212–$246,150 — the shaded band above. At the midpoint, this role pays about $215k versus about $212k 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 33 open roles on FindRole.

Listed pay typically runs $162,000–$215,000 across 31 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labs

As an Artificial Intelligence & Machine Learning Engineer, Vice President - AI Labs, you will join a hybrid team of scientists and engineers to solve complex challenges in financial services. You will provide technical leadership, set architectural directions, and drive design decisions for production systems including generative AI, intelligent agents, predictive modeling, and optimization engines. Your daily work involves building reusable AI platforms, infrastructure, and data pipelines while ensuring system reliability, security, and cost efficiency. The role requires proficiency in Python and SQL, with experience in Docker, Kubernetes, and frameworks like PyTorch, TensorFlow, or JAX. You will translate emerging capabilities into scalable solutions for investment insights and risk management. Key technical focus areas include non-deterministic applications, distributed systems, and performance optimization across latency and throughput within a regulated industry environment.

What you'll do

  • Provide technical leadership and set architectural direction for multidisciplinary teams.
  • Design, build, and operate production AI/ML systems including generative AI and intelligent agents.
  • Develop reusable AI platforms and infrastructure to accelerate experimentation and deployment across the firm.
  • Translate emerging AI capabilities into scalable solutions that deliver measurable business impact.
  • Define evaluation, testing, and observability approaches for non-deterministic and agentic applications.
  • Optimize AI workloads for latency, throughput, compute efficiency, reliability, security, and cost.
  • Establish engineering standards and mentor engineers to influence technical strategy across teams.

What we're looking for

  • 8+ years of software engineering experience including 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 with 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 and operation.
  • Experience with generative AI, LLMs, agentic workflows, and machine learning frameworks like PyTorch, TensorFlow, or JAX (preferred).

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