Industrial Account Manager

About this role Process Engineer, Vice President – Aladdin Your team Join the Aladdin Data team and help power one of the industry’s leading investment technology platforms. Our team builds the scalable data ecosystem that gives investors, operations teams, and data scientists access to trusted, high-quality information. Within Aladdin Data, Process Engineering develops the applications, pipelines, integrations, and distributed systems that turn complex data into reliable insights and support Aladdin’s continued growth. Your role and impact As a Workflow Process Engineer within our Data Engineering team, you will build scalable data and artificial intelligence (AI) capabilities that solve business problems at global scale. You will combine software engineering, distributed systems, and AI expertise to improve platform resilience, accelerate innovation, and deliver trusted data across Aladdin. Your responsibilities In every role at BlackRock, you'll be expected to apply sound judgement and critical thinking to solve complex problems, adapt as the business evolves, and combine the curiosity to explore new approaches and technologies with the rigor to challenge the results. The scope of this role also includes the following responsibilities: This is a hands-on engineering role for someone who enjoys solving complex problems, building resilient systems, and working closely with product, business, and engineering partners. You will: Build efficient, highly available, and fault-tolerant systems used across global teams. Partner with product and business stakeholders to shape the technical roadmap. Design practical solutions to complex data, platform, and AI engineering challenges. Apply strong engineering practices across design, development, testing, deployment, and support. Improve system resilience through code reviews, automated testing, development and operations practices, and production support. Collaborate with colleagues across offices and countries to deliver high-impact solutions. Mentor engineers, raise technical standards, and help create an inclusive team culture. Provide Level 2 or Level 3 support for technical and operational issues when needed. Your experience 5+ years of software engineering experience building complex production systems. Advanced degree in computer science, information systems, engineering, or a related field, or equivalent practical experience. Strong Java and Python skills, with a focus on clean design, modular architecture, concurrency, and maintainable code. Experience building application programming interfaces (APIs), Multithreading, microservices, and backend services using enterprise Java and Python application-development frameworks. A quality-first engineering mindset, including thoughtful design, test-driven development, code reviews, automated testing, secure development practices, version control, build automation, and continuous integration and continuous delivery. Experience developing artificial intelligence and machine learning solutions using Python-based machine learning, data analysis, and orchestration libraries. Strong understanding of distributed systems, concurrency, scalability, fault tolerance, high availability, and high-throughput design. Experience with event-driven architectures, messaging, Representational State Transfer services, remote procedure call frameworks, and schema-based data serialization. Hands-on experience with relational databases, distributed document-oriented data stores, and in-memory caching platforms. Familiarity with modern engineering practices, including dependency management, testing, mocking, static analysis, automated delivery, and observability. Strong analytical, problem-solving, communication, and leadership skills, with curiosity about financial technology. Preferred experience and growth areas Exposure to generative AI architectures, including agentic systems, retrieval-augmented generation, orchestration, knowledge graphs, and human-in-the-loop workflows. Familiarity with vector search, semantic retrieval, vector storage, and indexing platforms. Experience with machine learning operations and AI observability capabilities, including lifecycle management, metrics, telemetry, drift detection, and automated evaluation. Experience building cloud-native or event-driven applications using containers, orchestration, horizontal scaling, and infrastructure as code. Experience with major cloud platforms and their compute, messaging, storage, monitoring, and secrets-management services. Familiarity with cloud-based data processing, analytical data platforms, distributed processing, and large-scale data pipelines. Interest in building secure and governed AI systems with strong controls for identity, encryption, auditability, explainability, privacy, and model risk. Experience delivering AI and machine learning products in financial services, regulated industries, or other security-sensitive production environments. 
For Wilmington, DE Only the salary range for this position is USD$138,000.00 - USD$186,500.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance. 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.