Lead AI Consultant

Job Description

 Key Accountabilities

• 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.

Key Responsibilities:

• 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 Foundry
• Implement data pipelines and workflows to automate and operationalize machine learning and GenAI 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.

  Key Performance Indicators

• Solution delivery to the agreed standard of quality
• Solution delivery to the agreed budget and timescales.

Qualifications

Key Competencies

• Experience with integrating AI solutions into existing systems and workflows and deploying them at scale using Azure services
• Demonstrable experience in data science, machine learning, or a related field.
• Proficiency in Python, SQL, or other programming languages for data analysis, machine learning and GenAI.
• 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.
• 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.
• 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, including Copilot Studio
• Microsoft Certified: Azure AI Cloud Developer Associate (AI-200), Machine Learning Operations Engineer Associate (AI-300) or Agentic AI Business Solutions Architect (AB-100) is a plus
• Experience within a consultancy setting, or demonstrable evidence of a consulting skillset is a plus.

Additional Information

What You’ll Bring 

You are enthusiastic, curious and eager to build a career in consulting and change management. You enjoy working with people, communicating ideas clearly and helping organisations successfully adopt new ways of working. You'll demonstrate: 

• A positive and proactive attitude. 

• Strong collaboration and team-working skills. 

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