Senior Solutions Architect

As a Solution Architect specializing in AI & Automation, your role involves leading the design and implementation of cutting-edge solutions in Artificial Intelligence, Generative AI, and Automation. Your blend of technical expertise, strategic thinking, and leadership will drive innovation and deliver scalable, high-impact solutions across the organization. **Key Responsibilities:** - Design end-to-end AI and automation solutions aligned with business goals and technical requirements. - Participate in business requirements discussions and arrive at solutions, considering all aspects of the business problem. - Define architecture blueprints, integration patterns, and data pipelines for AI-driven systems. - Evaluate and select appropriate AI models, automation tools (e.g., RPA, BPM), and cloud platforms. - Ensure scalability, security, and performance of deployed solutions. - Stay current with emerging technologies and industry trends in AI, ML, NLP, computer vision, and automation. - Provide technical leadership and mentorship to engineering teams. - Participate in pre-sales and client engagements to define solution strategies and roadmaps. **Qualifications:** - Bachelor's or master's degree in computer science, Engineering, or a related field. - Proven experience in architecting and deploying Generative AI solutions in production environments in Azure, GCP, AWS, etc. - Strong knowledge of AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). - Experience with automation platforms (e.g., UiPath, Automation Anywhere, Power Automate). - Proficiency in cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). - Solid understanding of data engineering, APIs, and microservices architecture. - Excellent communication and stakeholder management skills. In this role, your expertise in AI, Generative AI, and Automation will be crucial in driving innovation and delivering high-impact solutions. Your strategic thinking and technical leadership will play a key role in shaping the future of the organization's AI initiatives.,