Capgemini
Senior Project Manager - AI Supply Chain Leader
Capgemini, Atlanta, Georgia, United States, 30383
Job Description - Senior Project Manager - AI Supply Chain Leader (076623)Senior Project Manager - AI Supply Chain Leader - 076623Capgemini is seeking an experienced Supply Chain AI Architect to join our team. As a Supply Chain AI Architect, you will leverage your expertise in data science, specifically in artificial intelligence, machine learning, and software architecture to address complex business challenges. You will lead the design and implementation of advanced generative AI solutions.
KEY RESPONSIBILITIES :Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-to-end tech stack assessment, architecture design for generative AI solutions (including system components, data pipelines, and deployment strategies), and integration of GenAI solution components into broader IT systems and corresponding architecture.Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability.Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of GenAI solutions.Model Selection: Evaluate and select appropriate generative AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements.Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of generative AI technologies. Ensure compliance with regulatory requirements and industry and company standards.Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.Required Skills:
10+ years professional work experience as a data scientist or on advanced analytics/statistics projects with 5+ years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments.Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.Proven experience in architecting and designing complex AI/ML systems, with a focus on generative AI.
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KEY RESPONSIBILITIES :Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Lead the end-to-end tech stack assessment, architecture design for generative AI solutions (including system components, data pipelines, and deployment strategies), and integration of GenAI solution components into broader IT systems and corresponding architecture.Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, solution deployment, scalability, security, performance optimization, and ongoing sustainability.Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Hands-on development and delivery of GenAI solutions.Model Selection: Evaluate and select appropriate generative AI components and algorithms based on project objectives, data characteristics, and performance requirements. Design custom models or adapt existing models to meet specific use cases. Guide the development of vector stores, prompt engineering, performance monitoring based on solution design requirements.Governance and Compliance: Define governance frameworks and guardrails for the ethical and responsible use of generative AI technologies. Ensure compliance with regulatory requirements and industry and company standards.Pre-Sales Support: Assist the sales team in pre-sales activities by providing technical expertise, participating in client meetings, and contributing to proposal development. Translate client requirements into feasible AI solutions.Required Skills:
10+ years professional work experience as a data scientist or on advanced analytics/statistics projects with 5+ years’ experience in one of the following sectors: Aerospace & Defense, Automotive, Banking, Consumer Products & Retail, Financial Services, Healthcare, High Tech, Industrial Products, Insurance, Life Sciences, Manufacturing, Public Sector, Telecom, Media & Entertainment, and Energy & Utilities.Experienced in design, development, delivery of GenAI solutions with all necessary underlying components and integration within broader IT environments.Master’s degree or PhD in Computer Science, Statistics, Economics, Mathematics, or other closely related field.Proven experience in architecting and designing complex AI/ML systems, with a focus on generative AI.
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