Senior AI Consultant

Senior AI Consultant ROLE This role focuses on designing and delivering AI, data science, and advanced analytics solutions using the Microsoft Azure technology stack. You will work on projects spanning AI, machine learning, and data platforms for customers, taking responsibility from problem definition through to production delivery. Alongside hands-on technical work, you will help guide technical direction, support the development of others, and contribute to both internal and external communities. The role suits someone who enjoys solving complex problems, working closely with stakeholders, and continually developing their skills as technologies evolve. This is a client-facing position, so the ideal candidate must be comfortable speaking with clients and some occasional travel. RESPONSIBILITIES Delivering projects that utilise the Microsoft Azure technology stack across domains such as AI, Data Science & Machine Learning & advanced analytics Contributing to the creation of new AI- and data science-based offerings based on maintaining an awareness of ongoing developments in the AI field Satisfying the expectations and requirements of customers, both internal and external Supporting others in their professional development Contributing to the internal and external community PROFESSIONAL EXPERIENCE In order to be as effective as possible in this role, you should be comfortable utilising the following capabilities and experience in both client-facing and internal projects Industry experience in delivering AI and or DS & ML solutions, with a good grounding in all associated areas Running discovery, solution design and other consultative workshops Managing technical and non-technical client stakeholders as part of projects and forming lasting relationships Contributing to early-stage client engagement and presales activities, e.g. technical demonstrations Good understanding of project management activities, e.g. risk management, time-tracking Active engagement in professional mentorship as both mentor (able to take and act on constructive feedback) and mentee (critically evaluate performance of colleagues to support career development) Proven written and spoken English with outstanding interpersonal skills Ability and attitude towards investigating and sharing new technologies Strategic and operational decision-making skills Ideally degree educated - computer science, data analysis, AI & Machine Learning etc Microsoft certified (nice to have) TECHNICAL SKILLS People’s skills vary and that’s great because the role varies. You should be comfortable with at least 3 of the core technologies below and have an interest in at least 4 others within the core/supporting/principles. Current Microsoft / Databricks certifications are useful but not mandatory – we’ll help you get those! Core: Azure AI (Microsoft Foundry, AI Search, Document Intelligence, AI Services) Familiarity with LLMs & Agentic AI Concepts (Prompt Engineering, RAG, LangChain, LangGraph, MCP, Tool Use) Data Science & Machine Learning (Databricks, Python, SKLearn, XGBoost, MLFlow, EDA) Relevant Azure Data & Computation services (ADLS, Cosmos DB / NoSQL DB’s, ADF, Databricks, SQL Databases) Data Manipulation (SQL, Pandas, Pyspark, Python) Azure DevOps Supporting: Application Development (Docker, Kubernetes, FastAPI, React) MLOps Lifecycle Management (ML monitoring, deployment, retraining) Azure infrastructure & Architecture design Data Visualisation (Power BI, Tableau) Deep Learning Technologies (Tensorflow / Pytorch) Principles: Agentic AI evaluation & observability Responsible AI & ethical risk management Data science / machine learning theory Data warehouse theory Data architecture & modelling At Telefónica Tech, we believe inclusion is the bridge that empowers everyone to be their authentic selves. We celebrate and respect our differences because diversity drives innovation and makes us stronger. Be yourself with us, and feel that you belong. We welcome applicants from all backgrounds and identities regardless of age, disability, gender reassignment, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, and sexual orientation. We are also committed to equity, accessible hiring practices, and creating an inclusive culture through many means including TogetHer (Women's network) and our Employee Resource Groups which include Diversity and Inclusion, Telefónica Tech Pride, Neurodiversity, ELEVATE (African and Caribbean heritage network), and Sustainability. We don’t believe hiring is a tick box exercise, so if you feel that you don’t match the job description 100%, but would still be a great fit for role, please get in touch.