Position Details: Solution Architect

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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