We are seeking an experienced and visionary AI Architect to lead the design, development, and deployment of advanced AI solutions for supply chain risk management and other innovative platforms. In this role, you will play a key part in helping our customers unlock the power of AI for actionable insights, operational efficiency, and strategic decision-making.
Key Responsibilities:

AI Strategy Development: Create a strategic vision and roadmap for AI initiatives, aligning with company objectives and long-term goals.
Solution Architecture: Design scalable, secure, and efficient AI/ML architectures tailored to SaaS offerings and customer needs.
Technology Evaluation: Identify and recommend appropriate tools, frameworks, and platforms for AI development, deployment, and integration.
Data Pipeline Management: Work 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, ensuring scalability, reliability, and performance.
Governance and Compliance: Establish AI best practices, model governance protocols, and ensure 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 systems for monitoring deployed models, ensuring accuracy, actionable results, and continuous improvement.

Qualifications:
Educational Background:

Bachelor's in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field. A Ph.D. is a plus.

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, ideally 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 abilities.
Leadership qualities with the ability to inspire and mentor teams.