Capgemini is seeking a Generative AI Specialist to transform legacy systems. You will analyze Assembler-based Annuity and Supplementary Contract Systems using GenAI tools to extract, interpret, and document the business logic for modernization projects.
What You'll Do
- Apply GenAI/LLM models to interpret Assembler code and extract embedded business logic.
- Build prompt templates, RAG pipelines, or fine-tuned models for accurate rule identification.
- Analyze Assembler modules, macros, and data structures to support rule extraction.
- Convert extracted logic into readable business rule documents, decision tables, and pseudo code.
- Collaborate with business analysts and teams to validate and showcase deliverables.
- Ensure quality and traceability of generated documents with the original Assembler code.
What We're Looking For
- Proven experience applying Generative AI models to interpret legacy or low-level code.
- Ability to analyze and understand Assembler code, including modules and data structures.
- Experience building technical assets like RAG pipelines or fine-tuned models.
- Skill in creating clear documentation such as business rules, decision tables, and pseudo code.
- Strong collaboration skills to work with analysts and teams to validate results.
- Meticulous attention to detail to ensure accuracy and traceability.
Technical Stack
- GenAI/LLM models
- Assembler code
Benefits & Compensation
- Salary range: $90,000 - $125,000
- Paid time off: Vacation (12-25 days), Company paid holidays, Personal Days, Sick Leave
- Medical, dental, and vision coverage
- Retirement savings plans (e.g., 401(k))
- Life and disability insurance
- Employee assistance programs
Work Mode
This is a hybrid position based in Bloomington, IN.
Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
