Senior AI Developer

Job Summary :

- 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

Must haves :

- 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

Experience :

- 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

Required qualifications :

- Preferred : Masters Degree in Artificial Intelligence, Machine Learning, or equivalent