
Custom Software Engineer
Responsibilities
Qualifications & Requirements
Experience Level: Senior Level
Full Job Description
Custom Software Engineer - AI-First SAP Solutions
Accenture is seeking a forward-thinking Custom Software Engineer with an AI-first mindset to design, develop, and deploy intelligent frameworks leveraging Generative AI (GenAI) and Agentic AI within SAP platforms. This role is based in Hyderabad.
The ideal candidate will possess a strong understanding of various Business Functions and a passion for innovation in AI, backed by rich experience in delivering enterprise-grade technology solutions using GenAI and Agentic AI Frameworks. You will conceptualize and implement AI-driven enhancements to traditional SAP processes, driving the next generation of enterprise automation and intelligence.
Role Responsibilities:
- Serve as a Subject Matter Expert with deep knowledge and experience in AI and SAP.
- Visualize innovative solutions leveraging GenAI Agentic architecture and the best available technologies from SAP and other providers.
- Engage in end-to-end AI-enabled project delivery: requirement gathering, solution design, implementation, testing, and business adoption.
- Work with real-time AI platforms, integrating AI insights into enterprise decision-making workflows.
- Exhibit strong influencing and advisory skills.
- Be responsible for team decisions and contribute to key decisions across multiple teams.
- Provide solutions to cross-team problems.
- Facilitate workshops and discussions to gather requirements and feedback from stakeholders.
- Mentor junior professionals in best practices and application development methodologies.
Professional Technical Skills:
- Ability to bridge technical AI concepts with business goals, ensuring timely delivery and stakeholder alignment.
- Hands-on experience in GenAI (LLMs, embeddings, vector databases) and Agentic AI applications (multi-agent systems, planning, reasoning) demonstrated through project implementations.
- Strong fundamental knowledge of the 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, and value realization in AI projects.
Must-Have Skills:
- Proficiency in SAP MM Materials Management.
- Strong understanding of application development frameworks and methodologies.
- Experience with the integration of SAP MM with other SAP modules.
- Ability to analyze business requirements and translate them into technical specifications.
- Familiarity with database management and data modeling techniques.
- Minimum of 15 years of experience in SAP MM Materials Management.
Minimum experience required: 5 years. The advertisement also mentions a need for 15 years of experience in SAP MM Materials Management for qualification.
Educational Qualification: 15 years of full-time education.
Location: Hyderabad