Solutions Architect

As a Solution Architect specializing in Data, AI & Generative AI with 8-10 years of experience, you will play a crucial role in designing and implementing cutting-edge technology solutions. Your responsibilities will include: - Designing and delivering end-to-end solution architectures using advanced technologies in data, AI, and generative AI. - Translating complex business requirements into technical blueprints and scalable architecture models. - Developing high-performance frameworks and ensuring alignment with enterprise technology standards. - Leading and mentoring engineering teams throughout the solution lifecycle. - Conducting architectural assessments, technology evaluations, and risk analysis to support strategic decision-making. - Driving rapid prototyping and proof-of-concept development to validate architectural concepts and business hypotheses. - Collaborating with various stakeholders to ensure technical alignment and delivery excellence. - Ensuring compliance with security, performance, and regulatory standards. Qualifications required for this role include: - 8-10 years of experience in solution architecture, focusing on data-driven and AI-centric systems. - Hands-on experience in designing solutions with large language models and generative AI technologies. - Success in implementing enterprise-grade architectures across diverse business domains. - Proficiency in at least one major cloud platform such as AWS, Azure, or GCP. - Strong programming skills in languages like Python, Java, or Scala. - Familiarity with data engineering tools, big data frameworks like Spark and Hadoop, and machine learning frameworks such as TensorFlow and PyTorch. In addition to technical skills, soft skills are also essential for this role: - Excellent communication and presentation skills to engage with technical and non-technical audiences. - Strong leadership, mentorship, and stakeholder management abilities. - Strategic thinking, problem-solving, and analytical skills. - Ability to quickly grasp emerging technologies and conceptualize solutions effectively. You will also need expertise in cloud architecture, containerization, big data technologies, machine learning, data pipeline design, API development, and microservices architecture. Stay updated on emerging technologies and trends in LLMs, GenAI, and machine learning to excel in this role.,