Senior Ai Developer
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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
