Project Role :

Custom Software Engineer
Project Role Description :

Design, build and configure applications to meet business process and application requirements.
Must have skills :

SAP Success Factors Compensation, Generative AI
Good to have skills :

NA
Minimum 3 year(s) of experience is required
Educational Qualification :

15 years full time education

Summary:

You will design, configure, and enhance SAP Success Factors 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 efficient 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 Success Factors Compensation including:
o Salary Planning & Merit Cycles
o Bonus & Variable Pay Programs
o Guidelines, Budgets, and Eligibility Rules
o Worksheets, Templates, and Cycle Administration
o Compensation Statements & Approval Workflows
Use AI copilots to accelerate:
o Creation of functional specifications
o Rule and guideline validation
o Test case generation for planning cycles
o 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:
o Requirement summarization
o Budget/spend analysis
o Rule analysis and what if checks
o Compensation cycle data validation
o Error pattern detection
Incorporate pre built AI services for:
o Intelligent employee grouping for planning (e.g., automated eligibility classification)
o Summarization of compensation insights (e.g., spend utilization, exception cases)
o 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:

Success Factors 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 Success Factors configurations.
Effective communication, documentation, and stakeholder management skills.
Continuous learning mindset with openness to AI enabled workflows.

Good to Have:

Success Factors 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.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.