Application Engineer, Vice President
AI in this role
About this role
BlackRock’s Post Trade & Accounting group is seeking a Vice President-level engineering leader to advance our enterprise Client Reporting platform. This role encompasses technical leadership, system design, and direct coding responsibilities, enabling the development of robust, event-driven platforms that deliver reliable solutions for institutional and Aladdin clients globally. You will lead development of core platform capabilities across distributed services and data systems, shaping long-term architecture for a mission-critical platform where scale, accuracy, resiliency, and auditability are essential. You will also partner across product and operations to drive modernization, automation, and AI-enabled engineering practices. About the Team The Client Reporting team delivers and manages BlackRock’s enterprise Client Reporting platform, providing end-to-end reporting solutions for a diverse global base of accounting and institutional clients. We oversee the full lifecycle of report production and distribution—ensuring quality, scalability, and operational excellence through advanced QC workflows, exception management tools (including the Aladdin dashboard), and robust monitoring frameworks. The team manages reporting inventory and KPIs, supports both standardized and highly customized data sets, and enables access to reporting-ready data through digital portals and reporting libraries. We also power a dynamic self-service experience, offering secure document delivery via API, SFTP, and Secure Links, along with flexible tools for client-driven report configuration and branding. By owning the critical systems and processes behind client reporting, the team plays a central role in shaping client experience, driving automation and innovation, and delivering scalable, resilient solutions for industry-leading clients. What You’ll Do Lead development, architecture, and design of distributed, event-driven systems (Java/Python) Evolve scalable microservices and API-first platforms aligned to enterprise strategy Architect high-throughput data systems integrating SQL/NoSQL, streaming, and caching technologies Drive performance, resiliency, observability, and production excellence Provide full-stack technical leadership across backend and frontend (Angular/React) Translate complex business requirements into scalable technical solutions and executable roadmaps Manage stakeholders and lead global teams to deliver against strategic milestones Lead adoption of AI-assisted SDLC practices (Copilot, Claude, Windsurf, etc.) Design safe and scalable LLM integration patterns (prompt engineering, structured outputs, streaming, tool/function calling) Architect multi-step or agent-based workflows (e.g., LangChain, Google ADK or equivalent) Define shared prompts, agent contracts, and AI governance standards across teams Guide teams in translating ambiguous problems into structured, AI-augmentable execution plans What you'll bring B.S./M.S. in Computer Science, Engineering, or related field (or equivalent experience). 7+ years of progressive software engineering experience with proven leadership of teams or major platforms Strong expertise in Java, Python, and distributed systems architecture Experience designing highly available, real-time enterprise systems Deep understanding of APIs, microservices, data modeling, and scalability patterns Experience with SQL, NoSQL, and streaming technologies (e.g., distributed event streaming and messaging platforms, Redis) Exposure to cloud-native and DevOps practices (Open Container Initiative (OCI) container image packaging and runtime, Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, CI/CD) Strong stakeholder management and cross-functional influence skills Demonstrated experience integrating AI into engineering workflows and production platforms Nice to Have Experience with distributed event streaming and messaging platforms, Redis, or other distributed systems technologies Cloud-native experience (Open Container Initiative (OCI) container image packaging and runtime, Enterprise-grade container orchestration platform supporting declarative infrastructure and horizontal scaling, Azure/AWS/GCP) Exposure to CI/CD and observability tooling Interest in financial systems, reporting platforms, or investment processesOur 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 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.
How we rate this
Application Engineer, Vice President at BlackRock rates 26 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- How have you integrated a large language model into a production application?
- What are the limits of Claude that you've run into, and how did you work around them?
- What's a project where you used Copilot hands-on?
- Walk me through how you've used LangChain in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Prompt Engineering, LLM Integration, Claude, Copilot, and LangChain. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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