Solution Architect Knowledge Graph

New York City, NY - USA

Monthly Salary: Not Disclosed

Posted on: 14 hours ago

Vacancies: 1 Vacancy

Job Summary

Role :- Solution Architect - Knowledge Graph

Location:- King of Prussia PA Pennsylvania New Jersey New York City Connecticut or nearby regions Expected onsite presence two days per week

Role Overview
We are seeking a senior Solution Architect to own the end-to-end architecture for a knowledge graph centric platform supporting advanced search discovery and decision-support use cases.

Key Responsibilities

Own overall solution architecture across search knowledge graph data AI and cloud components
Define how platform capabilities integrate into a unified scalable system
Set architectural direction that supports future growth and additional use cases
Define how knowledge graphs enable advanced search and discovery workflows
Guide graph data modeling and semantic alignment
Design integration patterns across platforms data sources and services
Define APIs data exchange mechanisms and orchestration flows
Act as the primary technical authority for the program
Translate architectural decisions into clear direction for engineering teams
Define cloud-based deployment and scaling strategies AWS preferred

Required Qualifications

12 years of experience in solution or platform architecture
Proven ownership of complex integration-heavy systems
Strong experience with knowledge graph architectures
Working knowledge of Neo4j and graph query concepts sufficient to guide architecture and integration decisions
Hands-on familiarity with graph databases and graph modeling
Strong background in system integration APIs and data pipelines
Experience designing AI-enabled or agent-based platform capabilities
Strong communication skills across technical and non-technical stakeholders

Preferred Background

Strong preference for experience in biotech pharma life sciences or research-driven environments
Experience working with scientific clinical or discovery-focused data is a plus

Pi-square technologies is a Michigan (USA) Headquartered Automotive Embedded Engineering Services company Synergy Partner for major OEMs and Tier 1s and their implementation partners in Automotive Embedded Product Development Projects Requirements Analysis Software Design Software Implementation Efficient Build Release Process and turnkey software V & V Services. We have more than 20 years of industry expertise with specialization in the latest cutting-edge automotive technologies such as Infotainment connected vehicles Cyber security OTA and Advanced Safety/ Body electronics.

Role :- Solution Architect - Knowledge Graph Location:- King of Prussia PA Pennsylvania New Jersey New York City Connecticut or nearby regions Expected onsite presence two days per week Role Overview We are seeking a senior Solution Architect to own the end-to-end architecture for a knowledge gra...

Role :- Solution Architect - Knowledge Graph

Location:- King of Prussia PA Pennsylvania New Jersey New York City Connecticut or nearby regions Expected onsite presence two days per week

Key Responsibilities

Own overall solution architecture across search knowledge graph data AI and cloud components
Define how platform capabilities integrate into a unified scalable system
Set architectural direction that supports future growth and additional use cases
Define how knowledge graphs enable advanced search and discovery workflows
Guide graph data modeling and semantic alignment
Design integration patterns across platforms data sources and services
Define APIs data exchange mechanisms and orchestration flows
Act as the primary technical authority for the program
Translate architectural decisions into clear direction for engineering teams
Define cloud-based deployment and scaling strategies AWS preferred

Required Qualifications

12 years of experience in solution or platform architecture
Proven ownership of complex integration-heavy systems
Strong experience with knowledge graph architectures
Working knowledge of Neo4j and graph query concepts sufficient to guide architecture and integration decisions
Hands-on familiarity with graph databases and graph modeling
Strong background in system integration APIs and data pipelines
Experience designing AI-enabled or agent-based platform capabilities
Strong communication skills across technical and non-technical stakeholders

Preferred Background

Strong preference for experience in biotech pharma life sciences or research-driven environments
Experience working with scientific clinical or discovery-focused data is a plus