Solution Architect

Description: The AI/GenAI Architect is responsible for designing and implementing advanced AI and Generative AI solutions to solve complex business problems in Sales & Marketing space. This role involves collaborating with cross-functional teams to integrate AI technologies into existing systems and drive innovation. Key Responsibilities: Domain Understanding: Person should have deep understanding of Sales & marketing tools and functions especially in manufacturing space. Solution Design: Develop and architect AI/GenAI solutions that align with business objectives and technical requirements. Implementation: Lead the deployment of AI models and algorithms, ensuring scalability, performance, and reliability. Collaboration: Work closely with data scientists, engineers, and stakeholders to understand needs and deliver effective AI solutions. Innovation: Stay updated with the latest advancements in AI and Generative AI and apply them to enhance product offerings. Evaluation: Assess the effectiveness of AI models and continuously improve them through iterative testing and feedback. Qualifications: Education: Bachelor's or master's degree in computer science, Engineering, or a related field. Experience: Proven experience in AI/ML development, with a strong portfolio of implemented AI solutions. Skills: Proficiency in programming languages such as Python, R, or Java. Experience with AI frameworks like TensorFlow, PyTorch, or similar. Knowledge: Deep understanding of machine learning algorithms, neural networks, and generative models. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to work collaboratively in a team environment. Preferred Qualifications: Certifications: Relevant AI/ML certifications. Experience: Prior experience in a leadership or architect role within AI projects. Tools: Familiarity with cloud platforms (AWS, Azure, GCP) and AI/ML tools.

#LI-MG2 TEPHRA