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.

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