Generative Artificial Intelligence Architect - Greater Toronto Area, Canada - Capgemini

Description

Position Overview:

We are seeking a highly skilled and innovative Generic AI Solution Architect to join our dynamic team. The Generic AI Solution Architect will play a pivotal role in designing and implementing cutting-edge artificial intelligence solutions that address a wide range of business challenges across various industries. The ideal candidate should possess a deep understanding of AI technologies, have a proven track record of delivering successful AI projects, and be able to collaborate effectively with cross-functional teams.

Key Responsibilities:

Solution Design: Collaborate with clients and internal teams to understand business requirements, challenges, and opportunities. Design scalable and efficient AI solutions that align with client needs and strategic goals.

Technical Expertise: Serve as the subject matter expert on AI technologies, including machine learning, natural language processing, computer vision, and other relevant domains. Stay up to date with the latest advancements in AI and recommend suitable technologies for specific use cases.

Architecture Development: Develop high-level and detailed solution architectures for AI projects. Consider factors such as data integration, model deployment, scalability, security, and performance optimization.

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.

Collaboration: Work closely with data scientists, engineers, and other stakeholders to ensure the successful implementation of AI solutions. Collaborate with cross-functional teams to address technical challenges and drive project success.

Proof of Concept (PoC): Lead the development of AI PoCs to demonstrate the feasibility and potential value of proposed solutions. Present PoC results to clients and gather feedback for iterative improvement.

Best Practices: Establish and promote best practices, design patterns, and coding standards for AI solution development. Ensure that solutions are maintainable, extensible, and well-documented.

Client Communication: Communicate technical concepts and solutions effectively to non-technical stakeholders, including clients and executives. Address client concerns and provide clear explanations of complex technical concepts.

Project Oversight: Provide technical oversight throughout the project lifecycle, from initial design to deployment and post-implementation support. Monitor project progress and make necessary adjustments to ensure successful delivery.

Continuous Learning: Stay current with industry trends and emerging AI technologies. Participate in workshops, conferences, and training sessions to enhance your own expertise and contribute to the growth of the team.