Artificial Intelligence & Machine Learning Engineer, Associate

About the role

Joining BlackRock means becoming part of a firm that oversees more than $14 trillion in assets and operates at the intersection of finance and technology. As part of the Aladdin AI Engineering team, you will work with advanced technologies, collaborate with exceptional engineers, and help shape the future of AI-driven investment management.

Responsibilities

• Design and build the next generation of Aladdin’s AI-enabled investment management platform, supporting the full investment lifecycle and research workflows.
• Build, evolve, and extend AI/ML platform services by leveraging existing AI infrastructure and frameworks.
• Design, implement, and integrate scalable APIs and microservices to support AI-driven use cases across the Aladdin application ecosystem.
• Develop and deploy LLM-powered and agentic AI systems, from concept through production.
• Translate business and functional requirements into robust, scalable technical designs.
• Collaborate closely with product engineering, data science, and platform teams to deliver end-to-end AI solutions.
• Apply strong software engineering practices across the SDLC, including design reviews, code reviews, testing, documentation, and production support.
• Contribute to platform resilience and operational stability through monitoring, debugging, and Level-2 production support.
• Work effectively in a multi-office, multi-country Agile environment and contribute to continuous improvement of engineering workflows.

Requirements

• AI/ML-Specific Qualifications:
• Experience building AI-driven applications, including solutions that leverage large language models (LLMs), AI Agents, agent tools and agent skills.
• Hands-on experience with LLM frameworks such as LangChain, LlamaIndex, or Semantic Kernel.
• Experience with Google Agent Development Kit (ADK) or comparable agent frameworks, including designing, orchestrating, and operating agent-based systems in production.
• Experience leveraging AI-native code editors and IDEs (e.g., Copilot-enabled IDEs, agent-assisted development environments, or similar AI-augmented tooling) to improve developer productivity, code quality, and delivery velocity.
• Understanding of agentic AI architectures, including multi-step reasoning, orchestration, and tool-based execution.
• Experience with prompt engineering and prompt tuning, including iterative improvement based on feedback and performance.
• Familiarity with ML model evaluation, including monitoring accuracy, reliability, and behavioral drift over time.
• Experience working with or integrating vector databases (e.g., Faiss, Chroma) as part of AI solutions.
• Understanding of MLOps concepts, including ML lifecycle pipelines, deployment, observability, and operationalization.
• Awareness of responsible AI considerations, including governance, safety, and reliability when deploying AI systems at scale.
• Core Engineering Qualifications:
• B.S. or M.S. in Computer Science, Engineering, or a related field.
• Strong hands-on experience with object-oriented programming, particularly Java and Python.
• Proven experience designing and building scalable APIs and microservices in a production environment.
• Strong understanding of distributed systems fundamentals, including service boundaries, reliability, and scalability.
• Familiarity with event-driven architectures and messaging frameworks such as Kafka.
• Experience working with cloud platforms (Azure preferred; AWS or GCP acceptable).
• Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
• Experience with relational and NoSQL datastores, including Cassandra.
• Strong understanding of Agile development practices, including collaboration, code reviews, testing, and documentation.
• Ability to reverse-engineer existing systems and work effectively in complex, evolving codebases.
• Excellent communication and collaboration skills, with the ability to explain technical decisions and align across stakeholders.

Qualifications

• B.S. or M.S. in Computer Science, Engineering, or a related field.
• Associate level: 2+ years of relevant experience.

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 benefits

• Financial well-being: We offer resources designed to help you build a sound financial future for you and your family, like retirement savings plans and tuition reimbursement.
• Pay for performance: Our pay-for-performance philosophy includes a base salary and a discretionary annual bonus.
• Physical well-being: Our healthcare plans and resources help you focus on your physical health, so you and your family can feel your best.
• Emotional well-being: We support our people's mental health and emotional well-being by providing access to an Employee Assistance Program and a network of Mental Health Ambassadors.
• Life management: You'll be able to focus on moments that are important to you with benefits designed to support life in and outside of work with Flexible Time Off, parental leave and more.

BlackRock Principles

• We are a fiduciary to our clients. This is the bedrock of our identity; it reflects our integrity and the unbiased advice we give our clients.
• We are One BlackRock. We work collaboratively to create the best outcomes for our clients, our firm and the communities where we operate.
• We are passionate about performance. We are relentless in innovating and finding better ways to serve our clients and improve our firm.
• We take emotional ownership. We have a deep sense of responsibility to our clients and to each other.
• We are committed to a better future. We are long-term thinkers, focused on helping people build a better tomorrow.

Career path

• We recognize that our technologists benefit from a tailored approach to navigating and advancing their careers in the ways they envision. Our tech career paths are specifically built to support vertical and horizontal trajectories – including Enterprise Leadership (team manager) and Tech Leadership (individual contributor) 'tracks' as well as various other career moves.

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.