AI Solutions Research Associate

Blackrock

Confirmed live today High trust
Closes in 7 days Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$145,000–$190,000 / yr
Posted
13 days ago
Freshness
Confirmed live today
Closes
Sep 21, 2026 (soon)

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $195k
This role $168k
$134k most similar roles pay here $248k

This role pays less than 65% of similar roles. Most pay $152,450–$237,250 — the shaded band above. At the midpoint, this role pays about $168k versus about $195k 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 · AI Solutions Research Associate

The BlackRock Investment Institute, AI Solutions, Research Associate joins the investment research team to drive the transition toward an AI-first operating model. This role serves as a bridge between investment professionals and technology partners to design, prototype, and deploy agentic systems, workflow automation, and AI infrastructure for research, content production, and forecasting. The individual will build solutions for capital market assumptions, tactical asset allocation, and macro research while managing the transition from manual tasks to automated processes. Key technical requirements include proficiency in Python, large language models, retrieval-augmented generation (RAG), vector databases, and prompt engineering. Candidates must also navigate complex investment workflows involving asset allocation and macroeconomic analysis. The role requires translating business needs into technical specifications while evaluating emerging AI tools and frameworks to enhance the scalability of research operations within the financial markets domain.

What you'll do

  • Design, prototype, and deploy AI-powered workflows, copilots, and agentic systems for research and content production.
  • Build automated solutions for key processes including capital market assumptions, macro research, and client-facing insights.
  • Translate business requirements into technical specifications to coordinate implementation with engineering and platform teams.
  • Evaluate emerging AI technologies, models, and vendors to determine their applicability to investment use cases.
  • Productionize prototypes using large language models, retrieval systems, and workflow orchestration platforms.
  • Identify opportunities to automate repetitive tasks and redesign workflows around AI-native processes.
  • Drive the adoption of AI tools through training, change management, and stakeholder engagement.
  • Measure the impact of deployed solutions using productivity, quality, and scalability metrics.

What we're looking for

  • 2–5 years of relevant experience in AI, technology, product management, analytics, consulting, or related fields.
  • Strong understanding of modern AI systems including LLMs, RAG, agentic workflows, multi-agent systems, and workflow orchestration.
  • Hands-on experience building AI applications, agents, automation solutions, or decision-support tools using commercial or open-source technologies.
  • Proficiency in Python and the modern AI development ecosystem, including APIs, prompt engineering, evaluation frameworks, and vector databases.
  • Familiarity with software architecture concepts, product development lifecycles, and enterprise deployment considerations.
  • Strong understanding of AI risks and controls, including model quality, hallucination risk, explainability, security, and responsible AI.
  • Deep knowledge of the Microsoft Office suite (PowerPoint, Excel, Word).
  • Experience working with research, analytics, investment, strategy, consulting, or product teams (preferred).

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