
Lead AI Consultant
- London
- Permanent
- Full-time
- Accountable for providing hands-on technical knowledge, while managing client relationships within the project context.
- Accountable for analysing customer needs, identifying business problems, and translating them into technology solutions, ensuring the high quality of the solution.
- Accountable for maintaining a thorough knowledge of the organization and adhering to organizational standards.
- Capture client requirements and lead the development of solution architectures that meet both current and future business needs
- Provide expert advisory services to clients on AI best practices, ensuring delivery of scalable and efficient solutions.
- Lead teams and projects, supporting all aspects of delivery from requirements gathering to solution design and implementation.
- Define high-value business scenarios that can benefit from AI solutions (Machine Learning and Gen AI).
- Explore and analyse data from various sources and formats using tools such as Microsoft Fabric, Azure Databricks, Azure Synapse Analytics, and Azure Machine Learning
- Implement data pipelines and workflows to automate and operationalize machine learning solutions using tools such as Azure ML Pipelines, Azure DevOps.
- Run experiments and monitor performance of machine learning solutions using tools such as Azure Azure ML, and Azure Application Insights.
- Operationalise and deploy AI solutions, ensuring that coding, security and CI/CD best practices are followed.
- Communicate and present findings and recommendations to stakeholders and customers using tools such as Power BI, Azure Data Explorer, and Azure AI Services.
- Demonstrable experience in data science, machine learning, or a related field.
- Proficiency in Python, SQL, or other programming languages for data analysis and machine learning.
- Experience with cloud platforms and services, preferably Azure, for data science and machine learning
- Experience with one or more generative AI and LLM frameworks and tools.
- Experience with machine learning concepts and techniques and Deep Learning.
- Experience with data visualisation and storytelling tools and techniques.
- Understanding of ethical considerations and compliance requirements in AI, including data privacy, bias mitigation, and responsible AI practices.
- Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services.
- Familiarity with data integration tools like Azure Data Factory and Data platform solutions such as Microsoft Fabric and/or Databricks
- Excellent communication, collaboration, stakeholder management, and problem-solving skills.
- Familiarity with the Microsoft Copilot stack.
- Microsoft Certified: Azure Data Scientist Associate certification or AI Engineer is a plus
- Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.
Policy located atBeware of scamsOur recruiting team may communicate with candidates via our @hitachisolutions.com domain email address and/or via our SmartRecruiters (Applicant Tracking System) domain email address regarding your application and interview requests.All offers will originate from our @hitachisolutions.com domain email address. If you receive an offer or information from someone purporting to be an employee of Hitachi Solutions from any other domain, it may not be legitimate.