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Job Title: AI Developer Experience: 3+ years Location: Bangalore (Hybrid) Shift: 2 PM to 11 PM Job Summary: The 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 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