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Requirements:
Experience utilizing data science and machine learning with generative and agentic AI in a commercial environment, including demonstrable technical leadership and leading people, projects, or multidisciplinary delivery teams.
Proven delivery of AI-powered applications from an ambiguous business problem to production operation, with evidence of measurable business impact and sustained adoption.
Hands-on application of classical statistics, supervised and unsupervised machine learning, feature engineering, experimentation, and model evaluation.
Hands-on delivery of generative AI and agentic solutions, including prompt design, RAG, embeddings/vector search, tool or function calling, orchestration, structured outputs, and failure handling.
Experience selecting and combining pro-code and low-code/no-code approaches, including Microsoft Azure AI services and platforms such as Copilot Studio, Power Platform/Power Apps, Cytora, or comparable products, is desirable.
Experience in a regulated, data-sensitive environment; insurance, reinsurance, or the London Market is advantageous.
Strong ability to translate between scientific and business language for non-technical stakeholders; people leadership and ways of working
Build and connect Brit India's AI community, fostering knowledge-sharing, reusable practices, and capability development, while ensuring close collaboration and alignment with the AI Enablement and AI UW Labs teams across India and the UK.
Set clear goals and accountabilities, allocate work across both teams, and balance strategic delivery, experimentation, production support, and colleague development.
Conduct regular one-to-ones and performance reviews; provide timely, evidence-based feedback, recognition, and coaching; create individual capability and development plans.
Mentor engineers and scientists through pairing, technical reviews, and stretch opportunities; build depth across AI engineering, science, operations, and domain knowledge.
Address delivery or behavioral concerns constructively, resolve conflict fairly and promptly, and foster psychological safety, inclusion, and effective cross-team collaboration.
Support workforce planning, recruitment, onboarding, succession, and capability development; create reusable standards and communities of practice across Brit.
Experience
7-11 yrs
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