puestos de It Technician en Gran Bretaña

The Markets Intelligence team focuses on developing commercial insights from internal & external data sets, deploying data science capabilities across Markets. We focus on Projects founded in novel ideas or existing manual processes, which we can scale and/or automate by using Data and Machine Learning/NLP/LLM. This role has a Global footprint and will have significant impact in terms of influencing decisions through advice, counsel and/or facilitating services to others across the broader Markets organization.

We are looking for a creative, detail-oriented Gen AI Solution Developer with strong AI Research acumen to help build intelligent, engaging, and user-friendly experiences e.g., Chatbots. In this role, you'll work on designing, developing, and refining chatbot interactions for Sales Organization. Your work will directly impact user satisfaction, operational efficiency, and digital innovation.

The SVP / VP will play a key role in leading and delivering the data and insights via bots related to the Client and Sales related data such as Trading Activity, Client Revenue. This role has a Global footprint and will have significant impact in terms of influencing decisions through advice, counsel and/or facilitating services to others across the Global Sales and broader Markets organization.

This position requires collaboration with various teams e.g., Sales Management, MQA, Trading Desks and more broadly across Markets, to align, coordinate, challenge and implement results with components of the data intelligence and analytics framework.

This hands‑on role will be responsible for identifying, anticipating, challenging, and mitigating risks related to AI Solutions in Sales organization and work on developing and evaluating new algorithms for machine learning, deep learning, and other AI methods.

• Collaborate cross‑functionally with diverse teams including Sales, Trading, Market Quantitative Analysis (MQA), and Technology to design, develop, deploy, and manage the full lifecycle of Generative AI chatbot solutions.
• Design and implement chatbot flows, scripts, and user interactions across platforms (e.g., internal messaging apps).
• Design, implement, and optimize Retrieval-Augmented Generation (RAG) pipelines using embedding models, vector databases, and context management techniques.
• Build and utilize agentic frameworks that enable multi‑step reasoning, planning, and tool orchestration for end‑to‑end AI workflows.
• Integrate chatbots and AI pipelines with a variety of data sources, including structured (SQL, APIs, CRMs) and unstructured (text, PDFs) back‑end systems.
• Use data analysis to create better models of human behavior and other complex systems.
• Stay current with the evolving Gen AI ecosystem, including AI/ML trends and best practices in conversational design and automation.

• Advanced expertise in machine learning, deep learning, and artificial intelligence, with a proven track record of developing complex AI‑driven solutions.
• Strong proficiency in Python, preferred experience in web frameworks like FastAPI or Flask.
• Proven experience building or designing chatbots (a portfolio or links to examples are highly encouraged).
• Demonstrated ability to effectively communicate and collaborate with technical and non‑technical stakeholders (e.g., Sales, Trading, MQA).
• Markets experience highly preferred.
• Deep familiarity with prompt engineering, context window optimization, and evaluation frameworks.
• Good understanding of agentic architectures, including planning, reasoning, and multi‑agent collaboration, preferred knowledge in LangChain, LangGraph etc.
• Experience integrating chatbots or AI systems into CRM systems, websites, or mobile applications.
• Knowledge of AI/ML pipelines or data labeling processes.
• Experience in Data Analytics and its distribution via Chatbots.

Job Family Group: Decision Management

Job Family: Specialized Analytics (Data Science/Computational Statistics)

Time Type: Full time

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