About this role Responsible for preparing the 'big data" infrastructure to be analyzed by Data Scientists and Analysts. Designs, builds, integrates, tests and maintains highly scalable data management systems with data f…
Hong Kong, Hong Kong Island, Hong Kong S.A.R. · Hybrid
Senior$29B raised
About this role About the Team The Risk & Quantitative Analysis (RQA) group provides independent oversight of BlackRock’s fiduciary and enterprise risks. RQA’s mission is to provide unbiased oversight of portfolio and e…
Skills: Operational Risk Management, Risk And Control Self-Assessments, Governance, Root Cause Analysis, Risk Reporting
About this role In the Aladdin Product Group, Alternatives department, we are seeking a Full Stack Developer to grow and expand our Software Engineering team. You will help the growth of our private market’s platform - e…
Skills: C#, VB .NET, .NET Framework, .NET Core, MS SQL Server
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Associate, Financial Platform Engineer (Java) / Wilmington, DE
Wilmington, Delaware, United States · Hybrid
$115k–$145k/yr
Senior$29B raised
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AI & Technology Enablement – Single Security Analytics, Director
Gurugram, Haryana, India · Hybrid
Senior+$29B raised
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Skills: Financial Modelling, Leveraged Finance, Portfolio Monitoring, Data Analysis, Financial Due Diligence
Vice President, Alternative Data Strategy & Execution - Portfolio Management Group
Atlanta, Georgia, United States · Hybrid
$155k–$210k/yr
Senior$29B raised
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New York, New York, United States · Hybrid
$116k–$155k/yr
Mid level$29B raised
About this role BlackRock is the world's largest and most prominent investment management firms, managing trillions of dollars in assets for institutions, governments, and individuals worldwide. We offer a wide range of …
Skills: Quantitative Research, GenAI, Large Language Models, Python, R
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Associate, Capital Deployment & Liquidity Management – Private Financing Solutions
New York, New York, United States · Hybrid
$116k–$155k/yr
Mid level$29B raised
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Vice President, Portfolio Management - Fixed Income
New York, New York, United States · Hybrid
$188k–$210k/yr
Senior$29B raised
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Leveraged Finance Credit Research, Private Financing Solutions, Vice President
Mumbai City, Maharashtra, India · Hybrid
Senior+$29B raised
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Full-time
bachelor degree, postgraduate degree
Retirement Plan, Tuition Reimbursement, Comprehensive Healthcare, Support For Working Parents, Flexible Time Off
Posted 25d ago
Apply by Jul 17
~40 hrs/week
Responsibilities
Lead the technical strategy and architecture for applied AI capabilities, focusing on scaling complex multi-agent workflows and LLM-powered services. Manage the end-to-end lifecycle of AI applications from proof of concept to production deployment within a regulated enterprise environment.
Requirements
Requires a Bachelor's or Master's degree in a quantitative field and over 15 years of experience in engineering or AI/ML systems. Candidates must have proven expertise in deploying LLM-based applications and leading high-performing technical teams.
Full job description
About this role
Responsible for preparing the 'big data" infrastructure to be analyzed by Data Scientists and Analysts. Designs, builds, integrates, tests and maintains highly scalable data management systems with data from various sources and then writes complex queries to ensure data is easily accessible and analytics work smoothly. May employ a variety of languages and tools to integrate new data management technologies and software engineering tools into existing structures. May work closely with others to determine what data management systems are appropriate and is responsible for problem-solving database integration issues and handling messy, unstructured data sets. The overall goal is optimizing the performance of the firm's big data ecosystem.
Key Responsibilities
Define and drive the technical strategy and roadmap for applied AI capabilities within Hyperion, aligning AI investments with business priorities across Private Markets.
Lead the architecture, design, and scaling of complex multi-agent workflows using frameworks such as LangGraph or similar orchestration frameworks.
Drive the end-to-end lifecycle of AI applications, from proof of concept to MVP to production deployment, including data pipelines, backend services, and platform integration, leveraging Agile methodologies to deliver iteratively and at scale.
Lead the integration of LLM-powered capabilities into core business products and platform services, ensuring high availability, low latency, resilience, and maintainability.
Establish robust evaluation frameworks to assess agent behavior, trajectories, decision quality, and system performance, with a strong focus on reliability, explainability, and business relevance.
Define and enforce engineering best practices for applied AI, including testing, observability, CI/CD, model and prompt evaluation, and production controls.
Establish standards for responsible AI, governance, risk management, and operational excellence appropriate for a regulated enterprise environment.
Partner closely with product, engineering, data, and business stakeholders to prioritize use cases, translate business needs into scalable AI-enabled solutions, and drive adoption across the platform.
Build, mentor, and lead a high-performing team of engineers and applied AI practitioners, fostering technical excellence, collaboration, and continuous learning.
Drive the development of reusable platform capabilities and patterns that enable scalable adoption of AI across products and workflows, rather than one-off implementations.
Stay current with developments in the generative AI landscape and evaluate emerging tools, models, and frameworks for their practical application within BlackRock.
Technical Qualifications
Strong proficiency in Python and modern software engineering practices, including production design patterns, CI/CD, automated testing, and observability for AI systems.
Proven experience building and deploying stateful, multi-step AI systems using agentic orchestration frameworks such as LangGraph.
Strong understanding of core NLP concepts, including tokenization, embeddings, semantic search, and information retrieval.
Solid foundation in data science and experimentation, including statistical modeling, data preprocessing, evaluation methodologies, and experimental design.
Experience working with graph-based data structures and libraries such as NetworkX to model complex relationships, workflows, and dependencies.
Deep understanding of RAG architectures, retrieval pipelines, and vector databases.
Familiarity with Transformer architectures and approaches to fine-tuning, adapting, or evaluating language models.
Experience with AI/ML frameworks such as PyTorch or TensorFlow, and with cloud-native deployment environments including Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling.
Experience designing and integrating AI systems with enterprise backend platforms, APIs, and data pipelines.
Skills and Experience
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, AI/ML, or a related quantitative field.
15+ years of experience building and deploying engineering, AI, or ML systems end to end, including recent experience delivering LLM-based applications or workflows in production.
3+ years of experience leading teams or large-scale cross-functional initiatives, with a track record of driving technical delivery and organizational impact.
Demonstrated success leading complex technical programs, managing multiple priorities, and delivering high-quality solutions at scale within Agile product and engineering environments.
Strong written and verbal communication skills, with the ability to influence senior technical and business stakeholders.
Hands-on experience with prompt engineering, RAG pipelines, entity extraction, embeddings/vector search, model evaluation, fine-tuning, and backend integration.
Strong interest in open-source language models and a track record of staying current with developments in the rapidly evolving generative AI ecosystem.
Experience in financial services, asset management, or private markets is preferred.
Understanding of the private markets investment lifecycle and data landscape is a plus.
Preferred Leadership Profile
Strategic thinker with the ability to translate business priorities into scalable technical solutions.
Hands-on leader who can operate effectively across strategy, architecture, and execution.
Strong people leader with experience mentoring senior engineers and building high-performing teams.
Comfortable operating in a fast-moving environment with evolving priorities and emerging technologies.
Passionate about building scalable platforms and reusable capabilities rather than isolated prototypes.
Committed to engineering rigor, responsible AI practices, and measurable business outcomes.
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.
Guidance on AI use for candidates
At BlackRock, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. We encourage candidates to use AI thoughtfully to learn, prepare, and work more effectively; but during our interview process, we want to focus on getting to know you through your own experiences, thinking, and judgment. To support you, we’ve provided guidance on when and how to use AI during our hiring process so you can approach each step with confidence and showcase your best self.
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.
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.
Related keywords
Generative AILarge Language ModelsLangGraphRAGVector SearchPythonPyTorchTensorFlowNetworkXCI/CDAgileNLPEmbeddingsSemantic SearchContainer OrchestrationPrivate Markets
Global asset manager. Technology provider. Helping more and more people experience financial well-being.
Industry
Financial Services
Company size
10,001+ employees
Founded
1988
Headquarters
New York, NY
LinkedIn followers
3,110,278
Total funding
$29B
BlackRock is a global asset manager and technology provider dedicated to helping more and more people experience financial well-being.
We help millions of people invest to build savings that serve them throughout their lives. We always start with our clients’ needs and look to offer them more quality choices for how and where to invest their money.
Our global investments platform offers our clients access to the world’s markets while making investing easier and more affordable. And with offices in more than 40 countries, our global expertise helps them navigate changing markets to stay ahead of the curve.
Follow us for global insights shaping the economy, conversations about financial well-being and more information on culture and careers at BlackRock.
https://bit.ly/3n6Fxdy
Offices: 50 Hudson Yards, New York, NY 10001, US · 1 Semple Street, Edinburgh, Scotland EH3 8BL, GB · 20 Anson Rd, Singapore, Singapore 079912, SG · 12 Throgmorton Avenue, London, England EC2N 2DL, GB · 400 Howard St, San Francisco, CA 94105, US
Real Estate InvestmentSocial MediaInformation TechnologyBusiness DevelopmentSoftwareAsset ManagementFinTechVenture CapitalDronesReal Estate
Global asset manager. Technology provider. Helping more and more people experience financial well-being.
Industry
Financial Services
Company size
10,001+ employees
Founded
1988
Headquarters
New York, NY
LinkedIn followers
3,110,278
Total funding
$29B
BlackRock is a global asset manager and technology provider dedicated to helping more and more people experience financial well-being.
We help millions of people invest to build savings that serve them throughout their lives. We always start with our clients’ needs and look to offer them more quality choices for how and where to invest their money.
Our global investments platform offers our clients access to the world’s markets while making investing easier and more affordable. And with offices in more than 40 countries, our global expertise helps them navigate changing markets to stay ahead of the curve.
Follow us for global insights shaping the economy, conversations about financial well-being and more information on culture and careers at BlackRock.
https://bit.ly/3n6Fxdy
Offices: 50 Hudson Yards, New York, NY 10001, US · 1 Semple Street, Edinburgh, Scotland EH3 8BL, GB · 20 Anson Rd, Singapore, Singapore 079912, SG · 12 Throgmorton Avenue, London, England EC2N 2DL, GB · 400 Howard St, San Francisco, CA 94105, US
Real Estate InvestmentSocial MediaInformation TechnologyBusiness DevelopmentSoftwareAsset ManagementFinTechVenture CapitalDronesReal Estate