Key Responsibilities

• Design and architect AI-enhanced solutions integrating SAP data, external cloud data sources (e.g., Google BigQuery, Amazon Redshift), and local file-based inputs
• Lead development of automation tools and bots using Generative AI (e.g., Amazon Bedrock, custom GPTs, Amazon Lex) to interact with APIs, databases, and back-end systems for real-time data processing and response
• Collaborate with functional and business teams to gather requirements, define logic, and modularize business processes for AI-assisted code generation
• Develop intelligent frontend tools using Python, VBA, and Excel to streamline and automate business workflows
• Build, test, and deploy predictive models using machine learning and statistical techniques (forecasting, regression, simulation, etc.)
• Define and maintain coding standards, Git-based repositories, and CI/CD pipelines for AI and automation development
• Monitor and troubleshoot solution performance across SAP and non-SAP environments; ensure high availability and scalability
• Drive innovation by applying AI and cloud services to modernize business processes such as Order-to-Cash (OTC) and Procure-to-Pay (P2P)
• Oversee development of reusable code modules and AI frameworks; mentor junior Python developers
• Ensure secure and efficient integration of AI services with AWS, SAP systems, and third-party applications
• Maintain thorough documentation of design decisions, architecture, and processes
• Stay updated on evolving AI tools, LLMs, and cloud platforms to continually improve solution capability

Area of Focus

• Python and VBA-based development for business process automation

• SAP integration (data extraction, update via APIs or file-based interfaces)

• AWS Services: Lambda, Bedrock, Lex, and others

• Generative AI-based development and automation

• Cloud data platforms: Google BigQuery, Amazon Redshift

• Excel dashboards, macros, and Python-based UIs

• Git-based version control and CI/CD workflows

• Advanced debugging, logging, and performance optimization

• Development of prediction and statistical models

• Bi-directional data flow design between SAC, BW, SAP, and external systems

Qualifications

Education

• Required: Bachelor’s Degree in Computer Science, Engineering, Data Science, or a related field

• Preferred: Master’s Degree in Artificial Intelligence, Machine Learning, or equivalent

Experience

• Minimum 3 years of strong hands-on experience in Python and VBA development

• Minimum 1 year of experience using Generative AI tools to automate coding and workflow design

• Proven experience developing and integrating solutions with business applications (data read/write, process automation)

• At least 1 year of experience working with cloud platforms (AWS, GCP, or Azure), including developing Lambda functions, APIs, or microservices

• Solid background in machine learning, data analytics, forecasting, regression, and simulation techniques

• Experience with SQL, Python data libraries (e.g., Pandas, NumPy, scikit-learn), and cloud databases

• Knowledge of chatbot development and AI-based API interaction (e.g., Amazon Lex, Bedrock, OpenAI APIs)

• Experience with GitHub/GitLab, DevOps tools, and implementation of CI/CD pipelines

• Strong analytical, debugging, and architectural skills

Experience collaborating in agile, cross-functional, and distributed teams

Movado Group, Inc. is an equal opportunity employer. It prohibits discrimination based on age, color, disability, marital or parental status, national origin, race, religion, sex, sexual orientation, gender identity, veteran status or any other legally protected status in accordance with applicable federal, state and local laws.