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