New York, New York, United States
Onsite
About this role
About BlackRock:
Are you interested in building innovative technology that shapes the financial markets? Do you like working at the speed of a startup, and tackling some of the world's most interesting challenges? Do you want to work with, and learn from, hands-on leaders in technology and finance?
At BlackRock, we are looking for Software Engineers who like to innovate and solve sophisticated problems. We recognize that strength comes from diversity, and will embrace your outstanding skills, curiosity, and passion while giving you the opportunity to grow technically and as an individual.
We invest and protect over $11 trillion (USD) in assets and have an extraordinary responsibility to our clients all over the world. Our technology empowers millions of investors to save for retirement, pay for college, buy a home and improve their financial well-being.
Being a technologist at BlackRock means you get the best of both worlds: working for one of the most sophisticated financial companies and being part of a software development team responsible for next generation technology and solutions.
Team Overview:
The Aladdin Engineering Post Trade & Accounting Team provides technology solutions for BlackRock's post trade investment life cycle operational processes including Accounting & Reporting platform to support the scale at which BlackRock operates. The team is responsible for a suite of applications including highly complex and scalable performance calculation engines, investment accounting, client reporting systems, platform for reconciliation, and derivative management. We innovate incrementally and focus on high level of client service through responsiveness, accuracy, and efficiency.
Responsibilities:
AI-Accelerated Design & Development: Design, develop, deliver, and maintain web applications across frontend and backend, leveraging AI-powered development tools (e.g., code generation, intelligent code completion, automated refactoring) to dramatically accelerate solutioning and product build cycles while maintaining consistent, high-quality output.
Agentic Workflow Engineering: Architect, build, and operationalize agentic AI workflows—including multi-agent orchestration, tool-use patterns, and autonomous task execution pipelines—to automate complex business processes and augment engineering productivity.
Technical Leadership with AI Fluency: Demonstrate technical leadership of software design & architecture, incorporating AI-assisted development practices into the strategic product roadmap and establishing team-wide standards for responsible AI tool adoption.
Delivery & Planning: Deliver plans and define milestones, prioritize initiatives, and properly allocate resources—using AI tooling to improve estimation accuracy and accelerate delivery against business commitments.
Cross-Functional Collaboration: Collaborate with cross-functional teams in a multi-office, multi-country environment to define, design, and ship high-quality software solutions. Champion AI-augmented development practices across teams.
Frontend & Backend Integration: Implement responsive user interface applications using Angular and ensure seamless integration with backend services through an API-first approach, using AI-assisted coding tools to maintain velocity and code quality.
Complex Problem Solving: Design and develop innovative solutions to complex problems, using AI reasoning tools and agentic patterns to identify issues, explore solution spaces faster, and eliminate roadblocks.
SDLC Participation: Work with project managers, technical leads, and business analysts to contribute throughout the SDLC cycle, integrating AI-assisted testing, code review, and documentation generation into standard workflows.
Stakeholder Management: Manage stakeholders for driving business decisions, negotiating priorities, and partner with various business teams to drive strategy and technology adoption—including communicating the value and limitations of AI-augmented development.
Quality & Resilience: Ensure scale, resilience, and stability through risk identification and mitigation, AI-assisted code reviews, creation of robust test suites (including AI-generated test cases), and providing level two support.
Continuous Improvement & Innovation: Foster continuous improvement in software development practices through AI-driven innovation and automation. Evaluate and integrate emerging AI development tools, LLM-based agents, and intelligent automation frameworks into team workflows.
Staying Current: Stay up to date with rapidly evolving AI/ML tooling, agentic frameworks (e.g., LangChain, LangGraph, Google ADK, AutoGen, CrewAI), and industry trends to continuously improve development processes and maintain a competitive edge.
Skills & Experience:
Core Programming: Hands-on programming experience in Java, Python, JavaScript, and TypeScript with strong OO skills and design patterns.
AI-Assisted Development: Demonstrated experience using AI-powered development tools (e.g., GitHub Copilot, Cursor, Windsurf, ChatGPT, Claude) to accelerate coding, debugging, testing, and documentation—with a track record of maintaining high code quality at increased velocity.
Agentic AI & Workflow Automation: Practical experience building agentic workflows using frameworks such as LangChain, LangGraph, Google ADK, AutoGen, or CrewAI—including multi-agent orchestration, tool integration, retrieval-augmented generation (RAG), and autonomous task execution.
LLM Integration: Experience integrating large language models into applications via APIs (OpenAI, Azure OpenAI, Anthropic, Google Vertex AI) and understanding of prompt engineering, function calling, and context management.
Frontend Frameworks: Experience with Angular, TypeScript, and responsive web design (Webpack, HTML5, CSS3).
Backend & Open Source Stacks: Experience with Spring, Tomcat, Maven, JUnit, NodeJS, and Express.
Databases: Experience working with relational (Sybase) and NoSQL databases.
Architecture & Problem Solving: Strong problem-solving, analytical, and software architecture skills—with the ability to evaluate where AI tooling adds genuine value vs. where traditional approaches are more appropriate.
Collaboration: Experience partnering with other teams, sponsors, and user groups who are on the same product journey, including evangelizing AI-augmented practices.
Agile Practices: Ability to work in Agile/Scrum development environments with strong teamwork, communication, and time management skills.
Innovation Mindset: Thought leader around AI-driven development, new/cutting-edge technologies, and their practical application in enterprise software.
Distributed Systems Engineering:
Strong experience designing and operating distributed systems, including:
Service‑oriented and microservices architectures
Event‑driven and asynchronous processing
Failure handling, retries, idempotency, and resilience
Performance tuning and scalability under load
Qualifications:
B.S. / M.S. degree in Computer Science, Engineering, or related subject area
7+ years of hands-on development experience
1+ years of demonstrable experience using AI-assisted development tools in production workflows
Experience building or contributing to at least one agentic AI system or multi-agent workflow
Nice to Have:
Experience with cloud native tools and cloud platforms (Azure, AWS, or GCP)
Exposure to high-scale distributed technologies
Experience with DevOps, CI/CD pipelines, and tools like Azure DevOps—including AI-augmented CI/CD practices
Experience with MCP (Model Context Protocol), A2A (Agent-to-Agent) protocols, or similar agent communication standards
Experience or real interest in finance, investment processes, and/or an ability to translate business problems into technical and AI-powered solutions
Familiarity with AI safety, responsible AI practices, and governance frameworks for AI tool usage in enterprise environments
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.
To learn more about BlackRock, please visit Careers.BlackRock.com. We also encourage you to get to know us on LinkedIn, Instagram, YouTube, X, and TikTok.
BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. View the EEOC’s Know Your Rights poster and its supplement and the pay transparency statement.
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com. All requests are treated in line with our privacy policy.
BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.