AI Architect

Overview: Rhythm Innovations is looking for an experienced and visionary AI Architect to drive the design, development, and deployment of cutting-edge AI solutions that power our supply chain risk management and other innovative platforms. This role will play a pivotal part in enabling our customers to harness the power of AI for actionable insights, operational efficiency, and strategic decision-making. Key Responsibilities AI Strategy Development: Develop a strategic vision and roadmap for AI initiatives, aligning with Rhythm Innovations' objectives and long-term goals. Solution Architecture: Design scalable, secure, and efficient AI/ML architectures tailored to our SaaS offerings and customer needs. Technology Evaluation: Identify and recommend appropriate tools, frameworks, and platforms for AI development, deployment, and integration. Data Pipeline Management: Collaborate with data engineering teams to establish robust data pipelines and ensure data quality for AI modeling. Model Development and Optimization: Lead the design, training, and optimization of AI/ML models for applications such as predictive analytics, anomaly detection, and natural language processing (NLP). Integration and Deployment: Oversee the seamless integration of AI solutions into existing platforms and ensure scalability, reliability, and performance. Governance and Compliance: Establish AI best practices, model governance protocols, and compliance with ethical AI standards and relevant regulations. Team Leadership: Mentor a team of AI engineers and data scientists, fostering a culture of collaboration, innovation, and excellence. Performance Monitoring: Implement monitoring systems for deployed models, ensuring they deliver accurate, actionable results while continuously improving their performance. Requirements Educational Background: Bachelor's in engineering in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is an added advantage. Experience: 10 to 12 years of experience in AI/ML development, including 3+ years in an architect or leadership role. Proven expertise in delivering enterprise-scale AI solutions, preferably in SaaS or supply chain domains. Technical Skills: Strong proficiency in Gen AI/ML frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Advanced knowledge of programming languages such as Python, R, or Java. Experience with cloud platforms (AWS, Azure, Google Cloud) and their AI/ML services. Familiarity with big data technologies (Hadoop, Spark, Kafka) and databases (SQL/NoSQL). Proficiency in MLOps practices for model deployment and management. Specialized knowledge in AI domains such as computer vision, NLP, or predictive analytics. Soft Skills: Strategic and analytical mindset with strong problem-solving skills. Excellent communication and stakeholder management capabilities. Leadership qualities with the ability to inspire and mentor teams.