Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs.

Must have skills : SAP SuccessFactors Compensation, Generative AI Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary AI Powered Tech Talent You will design, configure, and enhance SAP SuccessFactors Compensation solutions while leveraging AI assisted development tools and copilots to accelerate requirement analysis, configuration, testing, documentation, and issue resolution. This role focuses on delivering effective and compliant compensation planning cycles—merit, bonus, salary adjustments—while integrating pre built AI services to boost accuracy and productivity. No deep AI model development, vector DB work, RAG, or agentic AI capabilities are required.

Key Responsibilities Compensation Functional & Technical Delivery Configure and support SuccessFactors Compensation including: Salary Planning & Merit Cycles

Bonus & Variable Pay Programs

Guidelines, Budgets, and Eligibility Rules

Worksheets, Templates, and Cycle Administration

Compensation Statements & Approval Workflows Use AI copilots to accelerate: Creation of functional specifications

Rule and guideline validation

Test case generation for planning cycles

Documentation drafting (FS/TS/SOPs) Deliver full lifecycle support—requirements, design, configuration, testing (SIT/UAT), go live,



and hypercare.

Integrate

Compensation with Employee Central, Performance & Goals, and Payroll (if applicable). AI Assisted Productivity Apply AI copilots to speed up: Requirement summarization

Budget/spend analysis

Rule analysis and what if checks

Compensation cycle data validation

Error pattern detection Incorporate pre built AI services for: Intelligent employee grouping for planning (e.g., automated eligibility classification)

Summarization of compensation insights (e.g., spend utilization, exception cases)

Automated identification of anomalies during compensation cycles Use LLM assisted troubleshooting to reduce turnaround time for configuration or cycle issues. Governance, Compliance & Collaboration Ensure compensation processes adhere to local/global policies, pay equity standards, compliance, and audit requirements. Conduct workshops, solution walkthroughs, and cycle readiness reviews supported by AI generated insights.

Collaborate with Compensation & Benefits, HRBP, Performance Management, Payroll, and Technical Integration teams. Contribute reusable templates, test packs, configuration documents, and AI augmented best practices.

Required Skills &





Experience SuccessFactors Compensation Expertise Hands on experience with SF Compensation cycles including merit, bonus, and variable pay. Understanding of guidelines, eligibility, budgets, templates, and statement generation. Familiarity with integration points with EC, PMGM, and ECP. AI Ready Skills Experience using AI copilots, automated documentation tools, and AI assisted test accelerators. Ability to integrate pre built AI capabilities into compensation planning processes (not custom AI model creation). Understanding of responsible AI usage in HR and compensation contexts.

General Professional Skills

Strong analytical skills, especially in pay structures, budgets, and compensation compliance. Ability to translate compensation strategies into scalable SuccessFactors configurations. Effective communication, documentation, and stakeholder management skills. Continuous learning mindset with openness to AI enabled workflows. Good to Have SuccessFactors Compensation / Variable Pay Certification.

Experience With Global Compensation Cycles And Localization Requirements. Exposure to compensation analytics tools or pay equity platforms. Familiarity with middleware tools (CPI/Boomi) for integrations.

Outcome Expectations

Deliver faster, more accurate compensation cycles using AI enabled productivity gains. Improve budget utilization, pay accuracy, and planning transparency. Act as a bridge between HR, Total Rewards teams, SAP engineering teams, and AI native experts when deeper AI support is required. Additional information A 15 years full time education is required.

📌 Custom Software Engineer (Chennai)
🏢 Accenture in India
📍 Chennai