Director, Agentic AI, Data Science Lead, AI Labs
Job in
Edinburgh, City of Edinburgh Area, EH1, Scotland, UK
Listed on 2026-09-22
Listing for:
Hackajob Ltd
Full Time
position Listed on 2026-09-22
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Business & Operations
Job Description & How to Apply Below
AI Labs is Black Rock's advanced AI science and engineering organization. We partner with teams across the firm to solve some of the most complex and consequential challenges in financial services, applying generative AI, machine learning, optimization, and statistics to deliver measurable business impact. Our mission is simple but ambitious: combine human and machine intelligence to revolutionize asset management. What sets AI Labs apart is our ability to move from idea to impact.
We are not a research lab detached from the business, nor are we a traditional software engineering organization. We are a hybrid team of scientists and engineers who build solutions that run at scale in production environments and create capacity for our business partners. From AI-powered investment insights and risk management solutions to next-generation agentic workflows - our work is helping to shape the future of Black Rock.
Our teams work on some of the firm's highest priority strategic initiatives, including large-scale generative AI systems, intelligent agents, predictive analytics, optimization engines, operational risk solutions, and AI platforms that accelerate innovation across Black Rock. We help define best practices, establish technical standards, and enable teams throughout the organization to adopt AI safely, effectively, and Labs has offices in New York, Edinburgh, Atlanta, San Francisco and Seattle.
We are looking for candidates with unique backgrounds and diverse skill sets with fresh perspectives to accelerate and amplify our efforts to make an impact Description As a Data Science Director, you will take end-to-end ownership of flagship AI Labs initiatives - from initial scoping and stakeholder alignment, through research, prototyping, and technical build-out, to testing, iteration, and production deployment.
You will partner directly with business and technology stakeholders to translate ambiguous problems into well-scoped programs of work, own the solutions architecture, and ensure delivery is reliable and ngside this technical and delivery accountability, you will manage and mentor more junior AI scientists, helping to grow their skills, guide their career development, and build a strong bench of talent within AI Labs.
This role reports to the Head of Science in AI Labs and manages a team of 3-6 AI scientists. Responsibilities Own flagship AI Labs initiatives end-to-end: scoping, stakeholder alignment, research, prototyping, build, and production deployment. Partner with senior business and technology stakeholders to turn ambiguous problems into scoped programs with agreed priorities and success criteria. Lead the design, build, and evaluation of AI agents and agentic workflows - tool use, memory, multi-step reasoning - on large, complex datasets, iterating as findings emerge.
Partner with engineering to make solutions production-grade and compliant, with observability, guardrails, and evaluation pipelines in place. Manage and mentor AI scientists, guiding technical approach and career growth to build the bench in AI Labs. Communicate technical work and outcomes to senior leaders and general audiences, including white papers, publications, and presentations. Qualifications Required experience PhD in a quantitative field (machine…
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