Generative Ai Architect

Description:

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.