Senior AI Developer

Job Summary

The Senior AI Developer will play a critical role in designing and developing intelligent automation solutions that integrate SAP and non-SAP data sources to address complex business challenges. The role involves leading the development of AI-enhanced data analytics solutions, creating automation tools using Generative AI, and building bi-directional interfaces between SAP, cloud services, and frontend platforms such as Excel, VBA, and Python. The ideal candidate is a hands-on technologist with deep expertise in Python and cloud-native architectures, who thrives in highly creative and fast-paced environments. This position will lead a small team of Python developers and play a strategic role in shaping AI-driven business solutions.

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 5 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 2 years 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