Work mode: Hybrid /Remote
NP : Immediate joiners or 15 days notice period
Number of Openings: 1
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
- Strong 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.
