Technical Architect (AI , Graph database)

 The primary focus of this role is on AI Architecture, with strong expertise in Graph Databases and AWS. The ideal candidate should be a strong individual contributor (IC), capable of directly interacting with clients and taking ownership of technical discussions. Hands-on coding is expected whenever required.  

Position 1 : Technical Architect 

Job Title: Technical Architect 
Location: Kochi, Trivandrum - Remote/Hybrid 
Experience: 10+ yrs 

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

· 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.