Vice President, Application Engineer

Blackrock

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$162,000–$215,000 / yr
Posted
4 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $160k
This role $188k
$115k most similar roles pay here $226k

This role pays more than 80% of similar roles. Most pay $142,300–$177,900 — the shaded band above. At the midpoint, this role pays about $188k versus about $160k 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 88 open roles on FindRole.

Listed pay typically runs $148,000–$192,500 across 84 roles with salary data.

Most-posted roles

View all roles at Blackrock

At a glance

TL;DR · Vice President, Application Engineer

As a VP of AI Platform Engineering at BlackRock, you will lead the design and delivery of enterprise AI capabilities that empower technologist enablement and next-generation platform services within a global financial institution. You’ll work with a team dedicated to reimagining software development through intelligent systems, focusing on large-scale modernization and enterprise AI governance. Your daily responsibilities include designing scalable AI architecture using LLMs, RAG, fine-tuning, and model optimization techniques, while also ensuring AI solutions are safe, compliant, and production-ready by partnering with product and security teams. You will need strong experience in building and operating production AI systems, proficiency in Java and Python for developing scalable services, and expertise in cloud environments. Additionally, you should have a track record of delivering shared platforms at scale and leading engineering teams effectively. This role offers the opportunity to work on cutting-edge technologies while addressing complex business challenges within one of the world’s largest financial institutions.

What you'll do

  • Design scalable AI architecture using LLMs, RAG, fine-tuning, and optimization techniques.
  • Lead the implementation of AI platform capabilities across software development lifecycle stages.
  • Evaluate third-party solutions against internal capabilities for buy vs. build decisions.
  • Identify technical risks early and implement mitigation strategies effectively.
  • Translate complex AI capabilities into clear business values for senior stakeholders.
  • Drive delivery through ambiguity by breaking down complex problems into manageable tasks.
  • Lead and develop a team of engineers, providing coaching and technical mentorship.

What we're looking for

  • Extensive experience building and operating production AI systems, including LLM-based workflows.
  • Deep technical expertise in Java and Python for developing scalable, production-grade AI services.
  • Proven track record of designing and delivering large-scale shared platforms or services.
  • Solid understanding of modern AI practices like prompt engineering, RAG, fine-tuning, and evaluation.
  • Strong experience working with distributed cloud environments and designing APIs for cloud operations.
  • Excellent communication skills to collaborate effectively across teams and manage complex projects.
  • Prior people-management experience, leading small to mid-sized engineering teams.

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