The Role
Develop the AI strategy and architecture for scalable SaaS solutions supporting supply chain risk management. Lead AI/ML model design, optimization, deployment, platform integration, governance, compliance, monitoring, and performance improvement. Evaluate AI technologies, collaborate on data pipelines, and mentor AI engineers and data scientists. The role focuses on enterprise-scale predictive analytics, anomaly detection, NLP, and other AI applications.
Summary Generated by Built In
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.
Skills Required
- Bachelor's degree in engineering, Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field
- 10 to 12 years of experience in AI/ML development
- At least 3 years of experience in an AI architect or leadership role
- Experience delivering enterprise-scale AI solutions, preferably in SaaS or supply chain domains
- Proficiency with TensorFlow, PyTorch, and scikit-learn
- Advanced knowledge of Python, R, or Java
- Experience with AWS, Azure, or Google Cloud and their AI/ML services
- Familiarity with Hadoop, Spark, Kafka, and SQL/NoSQL databases
- Proficiency in MLOps practices for model deployment and management
- Specialized knowledge of computer vision, NLP, or predictive analytics
- Ph.D. in a related field
- Strategic and analytical mindset with strong problem-solving skills
- Excellent communication and stakeholder management capabilities
- Leadership ability to inspire and mentor teams
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The Company
What We Do
Rhythm Innovations provides a unified safety risk intelligence platform for organizations with drivers and frontline workers. Its software connects fleet, field, compliance, and claims data to help customers predict hazards, reduce collisions and injuries, manage claims, strengthen controls, and maintain operational continuity. The company combines real-time intelligence, automation, predictive analytics, and AI-powered workflows to improve safety, risk management, and decision-making.
