Associate, DataX

About this role Job Description We are looking for an Associate Applied AI Engineer to contribute to the development of multi-agent AI applications within Hyperion, our unified data and analytics platform for Private Markets at BlackRock. This role is ideal for an engineer with 4+ years of experience who is eager to work at the intersection of software engineering and applied AI, and who has hands-on exposure to agentic workflows and LLM-powered systems. You will work closely with senior engineers and product partners to take AI solutions from proof-of-concept to production. Key Responsibilities Contribute to the design and implementation of multi-agent workflows using frameworks such as LangGraph Participate hands-on across the AI application lifecycle, from POC to MVP to production, including data pipelines and backend integration Implement and maintain evaluation and testing frameworks to assess agent behavior, reliability, and decision quality  Support the integration of LLMs into core business products, with attention to performance, availability, and latency  Collaborate with cross-functional teams (product, platform, data) to deliver scalable AI solutions aligned with business needs Technical Requirements Strong proficiency in Python and familiarity with production-grade software engineering practices (CI/CD, unit testing, prompt testing) Hands-on experience building stateful, multi-step AI systems using agentic orchestration frameworks such as LangGraph Solid understanding of NLP fundamentals (tokenization, embeddings, semantic search) and applied data science concepts (data preprocessing, experimentation) Experience working with graph data structures and libraries (e.g., NetworkX) to model complex relationships Working knowledge of RAG architectures and vector databases Basic understanding of Transformer architectures and exposure to fine-tuning or adapting language models Familiarity with AI/ML frameworks such as PyTorch or TensorFlow, and exposure to Kubernetes or containerized deployments is a plus Skills and Experience Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics or other quantitative fields 4+ years of work experience building and deploying engineering or AI / ML systems end to end, including 6-12 months of hands-on experience in deploying LLM-based workflows (development, integration or experimentation   Strong written and oral communications skills, with ability to explain technical concepts clearly Ability to manage tasks across multiple priorities and deliver high-quality components within larger projects, under guidance from senior engineers Curiosity and motivation to stay current with developments in generative AI and open-source language models Exposure to private markets or asset management is a plus but not required  What This Role Offers Opportunity to work on production-grade, agentic AI systems in a real-world financial domain Strong mentorship from senior AI and platform engineers Exposure to end-to-end AI system design in a high-impact enterprise platform Our benefits To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about. Our hybrid work model BlackRock’s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person – aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock. About BlackRock At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being.  Our clients, and the people they serve, are saving for retirement, paying for their children’s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress. This mission would not be possible without our smartest investment – the one we make in our employees. It’s why we’re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive. For additional information on BlackRock, please visit @blackrock | Twitter: @blackrock | LinkedIn: www.linkedin.com/company/blackrock BlackRock is proud to be an Equal Opportunity Employer.  We evaluate qualified applicants without regard to age, disability, family status, gender identity, race, religion, sex, sexual orientation and other protected attributes at law.