SAP ABAP HR Payroll - Manager

Anlage Infotech

Hyderabad

Hybrid

INR 1,800,000 - 2,400,000

Full time

14 days+
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Job summary

Anlage Infotech in Hyderabad is seeking an experienced AI platform engineer responsible for delivering SAP Payroll solutions aligned with business specs and regulatory requirements. You will collaborate with Talent, Finance, IT, and SME teams to ensure robust, scalable payroll systems.

The role emphasizes standards and best practices, documentation, and end-user training. You will mentor teammates on engineering standards, participate in AI control-plane patterns, data pipelines, and DevSecOps

Responsibilities

  • Operational Responsibilities: Ensure SAP Payroll solutions are delivered according to business specifications and statutory requirements.
  • Resolve escalated payroll issues, collaborating with Talent, Finance, and IT teams.
  • Support and coordinate efforts of Subject Matter Experts, Development, QA, Usability, Training, Transport Management, and other internal resources for successful system enhancements and fixes.
  • Contribute to the development of standards, guidelines, and best practices to ensure consistency across projects.
  • Oversee the creation and maintenance of internal documentation and end-user training materials.
  • 1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.
  • Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt-injection, content, tool permissioning/tool-RBAC), policy-as-code, and multi-tenant isolation.
  • Prior experience with enterprise data platform engineering: data pipelines, self-service and data-product enablement, governance-as-code enforcement, and metadata/lineage.
  • Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
  • Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high-quality platforms and products rapidly.

Job description

Role & responsibilities
  • Operational Responsibilities: Ensure SAP Payroll solutions are delivered according to business specifications and statutory requirements.
  • Resolve escalated payroll issues, collaborating with Talent, Finance, and IT teams.
  • Support and coordinate efforts of Subject Matter Experts, Development, QA, Usability, Training, Transport Management, and other internal resources for successful system enhancements and fixes.
  • Contribute to the development of standards, guidelines, and best practices to ensure consistency across projects.
  • Oversee the creation and maintenance of internal documentation and end-user training materials.
  • 1+ years of experience establishing engineering standards and golden paths, including actively leading, mentoring, and guiding team members in the adoption and continuous improvement of these standards, treating the platform as a product.
  • Prior experience with AI control-plane and agent-runtime patterns: model/LLM gateway, A2A and MCP integration, agent runtimes (e.g., Google ADK, Amazon Bedrock AgentCore), guardrails (PII redaction, prompt-injection, content, tool permissioning/tool-RBAC), policy-as-code, and multi-tenant isolation.
  • Prior experience with enterprise data platform engineering: data pipelines, self-service and data-product enablement, governance-as-code enforcement, and metadata/lineage.
  • Prior software engineering experience with the understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations, and AI-augmented spec-driven development.
  • Prior experience using methodologies & tools such as XP, Lean, DevSecOps, SRE, ADO, GitHub, SonarQube, and ArgoCD to deliver high-quality platforms and products rapidly.
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