Job Title: Technical Architect
Location: Remote/Hybrid
Experience: 10+ yrs
Budget : 30 LPA

NP- Immediate Joiners or 15 days notice period

Job Summary

We are looking for a Technical Architect, who can work closely with SAP and analytics teams to design and build scalable data solutions. The role involves working closely with SAP, analytics, AI/ML, and engineering teams to design scalable graph-based data solutions, AI-enabled knowledge intelligence platforms, and enterprise integrations.

Key Responsibilities

Create and optimize data schemas tailored for machine learning and analytics use cases Design and implement data pipelines involving: Data ingestion (batch and streaming) ETL processes Workflow orchestration on AWS Build, deploy, and maintain REST APIs for data access and integration Define architecture patterns for AI/LLM-enabled search, retrieval, and analytics capabilities. Integrate solutions with Microsoft Teams for notifications, workflows, or insights sharing Collaborate with SAP functional and technical teams to support security, access, and analytics use cases Ensure data quality, performance, and scalability across platforms Define scalable and secure cloud-native architecture using AWS services and DevOps best practices. Support AI response stabilization approaches including controlled retrieval,



indexing strategies, contextual filtering, and workflow orchestration. Design, develop, and manage graph data models, with a strong focus on Neo4j. Required Skills & Experience

Robust understanding of data modeling and schema design for ML-driven applications Experience designing and operating data pipelines using AWS services (e.g., ingestion, ETL, orchestration) Good exposure to AWS Bedrock, AWS SageMaker, Bedrock Agents, MCP, LangChain/LangGraph, Python, FastAPI, FAISS, RAG Architecture. Strong understanding of cloud-native architectures, microservices, and distributed systems. Experience with AI/LLM ecosystems, semantic search, vector databases, embeddings, or Retrieval-Augmented Generation (RAG) concepts. Hands-on experience with graph databases, preferably Neo4j Experience in API development and deployment Working knowledge of Microsoft Teams integrations Ability to work closely with cross-functional teams and explain technical concepts clearly Nice to Have

Exposure to security analytics or access-control-related analytics Basic knowledge of SAP Security / SoD concepts Prior experience working in SAP-driven enterprise environments Exposure to DevOps, Infrastructure as Code (Terraform/CloudFormation), Docker, or Kubernetes.

📌 Technical Architect (AWS | AI/LLM | Data Engineering | SAP Integration)_Hybrid (India)
🏢 VGreen Technology Solutions (VGreenTEK)
📍 India