AI Solutions Architect

<p><strong>Job Responsibilities </strong></p><ul><li>Design and implement scalable AI and machine learning solutions that align with business objectives and technical requirements across diverse industries</li><li>Collaborate with cross-functional teams including data scientists, engineers, and product managers to define system architecture and integration strategies</li><li>Lead the development of proof-of-concept prototypes, conduct technical evaluations, and recommend optimal AI frameworks and tools</li><li>Provide expert guidance on cloud infrastructure, data pipelines, model deployment, monitoring, and security best practices for AI systems</li><li>Communicate complex technical concepts to both technical and non-technical stakeholders through presentations, documentation, and architectural blueprints</li></ul><p><strong><br> Requirements </strong></p><ul><li>Bachelor’s or master’s degree in computer science, engineering, or a related field with strong emphasis on software architecture or artificial intelligence</li><li>Proven experience as a solutions architect, preferably with focus on AI, machine learning, and large-scale distributed systems</li><li>In-depth knowledge of AI/ML platforms, deep learning frameworks (e.g., TensorFlow, PyTorch), and cloud services (e.g., AWS, Azure, GCP)</li><li>Strong programming skills in languages such as Python, Java, or Scala, with experience in containerization (Docker, Kubernetes) and CI/CD pipelines</li><li>Excellent problem-solving abilities, communication skills, and the capacity to lead technical projects in agile environments</li></ul>