AI Engineering Director — Private Markets Platform

BlackRock, Inc.; United States; Hybrid; USD 240,000 - 360,000; Full time

Benefits offered by this job

Education reimbursement

Flexible Time Off

Health and well-being programs

Job summary

BlackRock seeks an Engineering Director to lead multidisciplinary AI/ML engineering for private-markets data and workflows. You will shape strategy, architecture, and production systems while partnering with researchers, data specialists and product teams.

You will drive governance, quality, and measurable customer value, overseeing end-to-end AI products and complex platform initiatives in a hybrid work model with strong executive collaboration.

Qualifications

• Extensive experience designing and delivering production AI/ML systems across domains.
• Strong leadership of multidisciplinary engineering or applied-AI organizations.
• Deep grounding in document intelligence, unstructured-data processing, knowledge graphs and data-quality engineering.

Responsibilities

• Define and own the AI engineering strategy and roadmap for private-markets data, research, quality and workflow apps.
• Build and lead forward-deployed engineering teams working with researchers, data specialists and product teams.
• Direct applied AI research and model improvement across adaptation, fine-tuning, retrieval and knowledge systems.
• Lead end-to-end agentic and full-stack AI products integrating models, APIs and user experiences.
• Establish evaluation and trust through datasets, testing, provenance and auditable controls.
• Own production outcomes across architecture, delivery, reliability and adoption.

Skills

AI engineering leadership

Forward-deployed engineering

Architectural strategy

Cross-functional communication

Talent development

Tools

APIs design

Job description

BlackRock seeks an Engineering Director to lead multidisciplinary AI/ML engineering for private-markets data and workflows. You will shape strategy, architecture, and production systems while partnering with researchers, data specialists and product teams.

You will drive governance, quality, and measurable customer value, overseeing end-to-end AI products and complex platform initiatives in a hybrid work model with strong executive collaboration.