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Application Developer
Accenture Services Pvt Ltd
Develop AI‑enabled SAP BRIM FI‑CA applications and integrate Generative AI solutions
4d ago
Intermediate (4-7 years), Expert & Leadership (13+ years), Experienced (8-12 years)
Full Time
Chennai, Tamil Nadu, India
Office Full-Time
Role
What you would be doing
continuous learning
ai integration
project delivery
solution design
documentation
genai innovation
- Engage in continuous learning to stay updated with the latest technologies and methodologies Professional & Technical Skills:
- Contribute in providing solutions to work related problems
- Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows
- Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
- Assist in the documentation of application processes and workflows
- While the business situation / problem is given – you will have responsibility to visualize innovative solutions leveraging ’s GenAI & Agentic architecture and the best of available technologies from SAP, and other providers.
What you bring
ai lifecycle
prompt engineering
sap brim
fi-ca
genai
stakeholder alignment
- Strong fundamental knowledge of AI lifecycle, data analysis, statistical concepts of ML algorithms (supervised and unsupervised learning) and AI concepts of NN (Neural Networks) and NLP (Natural Language Processing)
- Solid grasp of prompt engineering, AI evaluation frameworks, value realization in AI projects Must To Have Skills: Proficiency in SAP BRIM Contract Accounting FI-CA - Strong understanding of application development methodologies - Experience with integration of applications within existing systems - Ability to troubleshoot and resolve application issues effectively - Familiarity with user interface design principles Additional Information: The candidate should have minimum 3 years of experience in SAP BRIM Contract Accounting FI-CA."
- Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) – demonstrated through project implementations
- Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
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