Senior Solution Architect - AI/ML Specialist

Job Summary Design and Develop: Architect and develop Python-based applications that apply generative AI models to address complex client challenges. Cloud Integration: Implement and manage cloud-hosted AI solutions, ensuring seamless integration with existing client infrastructures. Client Collaboration: Engage with business to understand the use case, create high-level design and technical approach documents, collaborating with the development team to deliver technical assistance and solutions Proof of Concepts (PoCs): Lead the development of PoCs to demonstrate the potential of generative AI applications, adapting quickly to evolving project requirements. Technical Leadership: Mentor junior developers, review code, and ensure alignment with AI solution development and software standards of company. Continuous Learning: Stay abreast of the latest advancements in generative AI and cloud technologies, integrating new methodologies and tools as appropriate. What You Bring Bachelor s or Master s degree or equivalent experience in Computer Science, Engineering, or a related field. Minimum of 5 years of professional experience in Python development, with at least 2 focused on AI/ML applications Proficiency in Python and familiarity with AI frameworks such as TensorFlow or PyTorch. Experience with cloud platforms (AWS, Azure, or Google Cloud) and their AI service offerings. Knowledge of API development and microservices architecture. Experience in deploying AI models into production environments. Familiarity with data preprocessing and feature engineering.. Exposure to natural language processing (NLP) and computer vision applications. Strong communication skills, capable of articulating complex technical concepts to non-technical customers.