Senior SAP SD RAR Lead - Revenue Recognition & Solutions

TechDigital Group; Santa Clara (CA); On-site; USD 90,000 - 150,000; Full time

Job summary

An established industry player is seeking a senior lead consultant for the SAP SD RAR Module. This role requires a seasoned professional with over 6 years of experience in SAP SD and a proven track record of at least one full lifecycle project in RAR. The ideal candidate will possess strong architectural and solution design skills, enabling them to create and implement complex solutions in a highly integrated environment. Excellent communication and presentation skills are essential for documenting requirements and functional specifications to meet customer standards. This is a fantastic opportunity to contribute to impactful projects in a dynamic setting.

Qualifications

• 6+ years of SAP SD experience with at least 1 RAR full lifecycle project.
• Strong background in Revenue Recognition and US GAAP.

Responsibilities

• Assist in resolving SD posting related issues.
• Design and implement complex solutions in integrated environments.

Skills

SAP SD

Revenue Recognition

US GAAP

IFRS

Architectural and Solution Design

Communication Skills

Presentation Skills

Job description

Mandatory Skills Gemini Enterprise -Agent Development Kit

Role Summary
Designs and builds enterprise-grade AI agents on Google Gemini Enterprise using the Agent Development Kit (ADK) for Client's Finance, Marketing, and HR use cases. Implements agent logic, orchestration, memory, tools, prompts, and guardrails, and contributes reusable components to the Client Agent Library.
Key Responsibilities
• Develop AI agents using Google ADK, Gemini foundation models, and the A2A protocol.
• Implement agent reasoning, planning, tool invocation, memory, and sub-agent orchestration.
• Integrate agents with enterprise data (Databricks, ServiceNow, Snowflake, OneDrive, Adobe, PDFs) via MCP and RAG.
• Build reusable, modular agent components and publish to the Client Agent Library.
• Perform unit and evaluation testing using the ADK eval framework; optimize prompts and model configuration.
• Collaborate with Data & AI Engineers, API/MCP Developers, and FDEs across the sprint lifecycle.
Mandatory (Must-Have) Skills
• Hands-on Google ADK and Gemini Enterprise agent development.
• Strong Python and prompt engineering for LLM/GenAI applications.
• Experience with RAG, embeddings, vector search, and grounding.
• Understanding of agent orchestration (A2A) and MCP tool integration.
Preferred (Good-to-Have) Skills
• Vertex AI, LangChain / LlamaIndex, Cloud Run / GKE.
• AI safety, evaluation, and guardrail patterns (Model Armor, Guardrails AI).
• Finance / Marketing / HR domain exposure.
Experience & Certifications
• 6+ years software engineering with 2+ years GenAI/LLM development.
• Google Cloud / Gemini / ADK certification preferred.
• Must be able to work onsite in the USA aligned to Client hours