Top AI & Machine Learning Jobs

Lead the technical vision and production delivery of graph-enabled AI and data science capabilities for private-markets intelligence. Architect multi-agent LLM workflows, knowledge graphs, graph retrieval, predictive models, and evaluation systems. Partner with researchers, product, engineering, risk, and compliance teams to convert ambiguous needs into governed enterprise products. Own reliability, security, cost, and quality while mentoring AI and data science talent and advancing responsible AI practices.

Build and deploy production full-stack AI applications using Python, JavaScript or TypeScript, backend APIs, databases, document processing, retrieval-augmented generation, and language-model workflows. Develop secure, testable, observable systems with CI/CD, AI evaluations, semantic and vector search, and user-facing review experiences. Collaborate with domain and engineering teams to automate operational workflows and create reusable engineering patterns. Requires four or more years of software engineering experience, strong Python and frontend skills, LLM development experience, and professional English and Spanish communication.

Design and deploy AI-powered workflows, copilots, and agentic systems for investment research, content production, forecasting, and client insights. Translate business needs into technical specifications, evaluate AI technologies and vendors, productionize prototypes, and support enterprise AI architecture, governance, adoption, and measurement. The role partners with investment, technology, and leadership teams to automate processes and develop scalable, responsible AI solutions.

Leads a team of full-stack engineers while setting technical strategy, architecture, and roadmaps for enterprise portfolio design platforms. Drives delivery of scalable Python and Angular or React applications, engineering best practices, operational resilience, and Agile execution. Leads adoption of applied and generative AI, including intelligent workflows, automation, responsible AI governance, and AI-assisted development. Partners with business and technology stakeholders, mentors technical leaders, and delivers innovative solutions that improve advisor engagement, productivity, and client experiences.

Own the vision and roadmap for AI-powered investment operations products across post-trade workflows, including reconciliations, settlements, exception management, and data quality. Partner with Operations and Engineering to deliver production-grade machine learning and generative AI solutions, define requirements, manage agile product delivery, validate use cases with clients and users, and drive adoption and measurable business outcomes.

Lead design, development, and deployment of production-grade AI systems (LLMs, RAG, agentic workflows, semantic search) for investment and trading compliance; define AI strategy, evaluation and governance, partner with stakeholders, mentor teams, and operationalize scalable, secure AI solutions within the Aladdin platform.

Build scalable, full-stack, AI-enabled products for BlackRock’s Aladdin investment compliance and analytics workflows. Lead technical design, implementation, testing, deployment, production support, and continuous improvement. Apply generative AI, semantic search, retrieval, intelligent assistants, and agentic workflows responsibly. Partner with product, engineering, compliance, and business stakeholders to translate complex requirements into deliverable solutions. Influence architecture, champion DevOps and SRE practices, mentor engineers, and promote quality, resilience, security, observability, and maintainability across a global organization.

Leads the design, delivery, and operation of enterprise AI platforms and LLM-based systems. Responsibilities include AI architecture, RAG and fine-tuning, model evaluation, platform development, cloud services, governance, buy-versus-build decisions, cross-team delivery, stakeholder communication, and engineering team leadership and mentorship.

Lead design and delivery of a scalable AI platform for Aladdin: build Kubernetes-based model deployment, cloud-native infrastructure, CI/CD for ML, ensure security/compliance, troubleshoot platform reliability, translate business needs into robust technical designs, and collaborate across global teams.

Provide technical leadership for production AI and machine learning systems, including generative AI, intelligent agents, predictive modeling, and optimization. Design scalable AI platforms, APIs, services, data pipelines, and infrastructure; establish evaluation, testing, observability, security, and governance standards; optimize system performance, reliability, and cost; and partner with multidisciplinary teams to deploy and operate solutions. Mentor engineers and influence technical strategy across the organization.