_VOIS
Location
Pune | India
Job description
Overview:
As an AI Architect specializing in Corporate IT Systems, you will be responsible for designing and implementing artificial intelligence (AI) solutions that enhance the efficiency, security, and overall performance of the organization's IT systems. This role requires a deep understanding of AI technologies, machine learning, and a strong grasp of Corporate IT infrastructure. AI Strategy and Planning: Collaborate with business leaders and IT stakeholders to understand organizational goals and identify opportunities for AI integration within corporate IT systems. Develop a comprehensive AI strategy aligned with business objectives and IT infrastructure requirements. AI Solution Design: • Collaborate with cross-functional teams, clients, and stakeholders to understand business requirements and objectives. • Design end-to-end solutions that align with business goals and leverage the latest AI and software engineering technologies and methodologies. • Develop architectural blueprints and technical documentation for AI and software engineering solutions. • Act as a technical point of reference when interacting with the Security and Privacy functions, ensuring that the designed solutions are in line with Vodafone’s internal requirements. Data Integration and Analysis: • Work closely with data engineers to identify and integrate relevant data sources for AI applications. • Develop data analysis strategies to extract actionable insights and drive informed decision-making within the IT domain. Monitoring and Optimization: • Implement monitoring tools and metrics to assess the performance of AI solutions. • Continuously optimize AI algorithms and models to adapt to changing business needs and technology advancements. Collaboration and Communication: • Provide guidance on the adoption of AI technologies, tools, and frameworks within the IT department. • Work closely with internal clients to understand their business needs and communicate complex technical concepts in a clear and understandable manner. • Collaborate with product managers, project managers, developers, and other stakeholders to ensure successful project delivery. Quality Assurance: Qualification: Bachelor’s or Master’s degree in computer science, Data Science, or a related field. Proven experience in AI architecture, with a focus on corporate IT systems on SAP Focused Architecture. In-depth knowledge of machine learning algorithms, neural networks, and AI frameworks.Job tags
Salary
