Associate AI Native Engineer

About this role

Your team 

The Enterprise Resilience team manages BlackRock's business resilience programs, helping the company prepare for disruptions and disasters. Within Enterprise Resilience, a small technical group develops applications and services used by the team. 

Your role and impact 

We are looking for a full-stack, AI-native software engineer to join our group. This role will be based in our Edinburgh office and managed remotely from San Francisco. The successful candidate will bring strong curiosity, excellent interpersonal skills and an interest in modeling interdependent systems. 

Most of our existing services are written in TypeScript, with a technology stack that includes Prisma ORM, Postgres, Fastify and React. We therefore prefer candidates who already have experience working with full-stack

TypeScript/Node.js. However, we are happy to consider candidates who are proficient in other typed languages - especially if they have experience in other relevant areas (see below).  

Your responsibilities 

In every role at BlackRock, you'll be expected to apply sound judgment 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: 

Collaborating with Enterprise Resilience colleagues, you will: 

• Use coding agents to develop secure, scalable software in support of business goals. 

• Develop scheduled jobs, data feeds and automation to support day-to-day resilience planning. 

• Develop software that models BlackRock's business dependencies and simulates disruptions. 

• Help develop agentic AI tools that let stakeholders easily interact with their data. 

• Fix bugs, help colleagues, build relationships with stakeholders and develop a keen understanding of business resilience. 

Your experience 

Required 

• Bachelor's degree in a scientific or engineering discipline, or equivalent experience. 

• Professional full-stack software engineering experience. 

• Exceptional problem solving skills: able to evaluate evidence objectively, think critically, and propose rational solutions. 

• Strong AI agent management skills. A good understanding of the strengths and weaknesses of AI coding agents. Comfortable prompting, managing and verifying the work of agents. 

• Refined creative instincts. Leverages AI to generate polished user interfaces aligned with a design system.  

• Excellent written communication. Uses AI as a technical resource, not as a ghostwriter. 

• Experience using relational databases, either via raw SQL or an ORM. Comfortable analyzing, cleaning and reshaping complex relational data. 

• Proficient in standard aspects of web service development, including user authorization, caching, API design, database schema design, and testing.  

• Familiar with standard development practices, such as source control and command line use. 

• Strong relationship and stakeholder management skills.  

• Storytelling skills: can build a narrative and keep the audience engaged. 

Preferred 

• Experience modeling interdependent systems and how disruption propagates through them, for example graph-based dependency analysis or time-stepped simulation.

• Background in a domain that involves systemic modeling, such as industrial ecology, epidemiology, systems biology, statistical physics, supply chain management, traffic simulation or utility network modeling.

• Full-stack TypeScript/Node.js experience.

• Experience with the React front-end framework.

• Some product management experience (can be informal).

• A sustained interest in generative AI, with experience making agent skills or tools.

Nice to have

These aren't deal breakers, but we would love to hear if you have experience with them.

• Experience building games, game mods or simulation engines, especially strategy or simulation games with many interdependent entities.

• Experience with business continuity, operational resilience, or civil disaster preparedness.

• Experience working with geospatial data.

• Experience developing agent harnesses or building services that use generative AI.

• Prior experience interacting with the Salesforce platform.

• Hobbies or projects that demonstrate the candidate's curiosity.

Hiring Manager's Note

If you choose to apply for this position, thank you! We try to read all resumes, and a personally written resume that tells your story will be strongly appreciated. 

Our benefits

To help you stay energized, engaged and inspired, we offer a wide range of employee benefits including: retirement investment and tools designed to help you in building a sound financial future; access to education reimbursement; comprehensive resources to support your physical health and emotional well-being; family support programs; 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, race, religion, sex, sexual orientation and other protected characteristics at law.