> Markdown version of [/jobs/ext/4600824-ai-engineer-analyst-data-analytics-ai](https://www.wearedevelopers.com/jobs/ext/4600824-ai-engineer-analyst-data-analytics-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Engineer, Analyst - Data Analytics & AI - **Company:** Blackstone Inc - **Location:** New York, NY, United States - **Salary:** $80,000.0 - $140,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Data Analysis, Software Quality, Continuous Integration, Data Warehousing, Python (Programming Language), Software Deployment, Software Engineering, SQL Databases, Large Language Models, Prompt Engineering, Model Validation, Git, Containerization, Information Technology, Data Analytics, Terraform, Software Version Control, Docker, Service Stack - **Published:** November 6, 2026 - **Apply:** https://www.careerbuilder.com/job-details/ai-engineer-analyst-data-analytics-ai-ny--6eddb7e3-cedd-4480-98d7-2ad4d384fce6 ## About the Role Artificial Intelligence (AI), Data Analysis, Analysis Skills, Biology, Twitter, Asset Management, LinkedIn, Real Estate, Investment Strategy, Hedge Funds, * 1+ years in an AI engineering, software engineering, or data analysis role, with fluency in Python and SQL for interacting with data and data warehouses. * Applied experience with LLMs and AI tooling, including fine-tuning, prompt engineering, agentic workflows, retrieval, or model evaluation and benchmarking. * Demonstrated experience shipping and maintaining production systems under real user load, rather than prototypes or scripts. * Proficiency in developing within proper software development lifecycle tools, such as version control, CI/CD tools, containerization, and cloud deployment technologies. * Demonstrated experience to ramp quickly on unfamiliar tools and technology stacks with minimal supervision. * Experience working directly with non-technical business stakeholders to elicit requirements, understand existing processes, and shape solutions collaboratively before building. * Experience working within a technology team for a financial firm, with a preference for alternative asset management, private wealth, or fund distribution. * Strong communication skills, both verbal and written, including experience communicating to both business and technical coworkers, and author documentation appropriate for the user community, development teams, and upper management. * Experience defining project scope and manage and communicate scope changes. * Experience managing multiple priorities and raise issues in a timely and productive fashion. * Bachelor's or Master's degree in Computer Science, Engineering, Finance, or Economics. ## Description * Embed with business units - shadowing live workflows, engaging AI power users and champions, and developing functional fluency in how the business raises, services, and reports on capital. * Translate observed workflow friction into a prioritized pipeline of self-service quick wins and larger platform initiatives, validating demand across teams before committing to build. * Develop and maintain production software solutions using Python and SQL, ensuring code quality, scalability, reliability, and security. * Use code deployment best practices, including the use of change control (e.g., Git), CI/CD tooling, containerization (e.g., Docker), and cloud deployment technologies (e.g., Terraform). * Build and extend applied AI solutions - agentic workflows, retrieval pipelines, and evaluation tooling - and scale adoption through validated self-service runbook and prompt libraries released to the business. * Promote and cultivate a culture of data analytics, science, and AI within the firm, including leading talks and training sessions for both technology and business teams. * Lead multiple concurrent projects and collaborate effectively with the broader BXTI organization to transition proofs of concept into supported production deployments., * Attending client meetings where you are discussing Blackstone products and/or and client questions; * Marketing Blackstone funds to new or existing clients; * Supervising or training securities licensed employees; * Structuring or creating Blackstone funds/products; and * Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions.