ZipRecruiter

Log In

1

Knowledge Graph Architect Jobs in Simsbury, CT (NOW HIRING)

1 point system

AI/ML Engineer

Hartford, CT · Remote

Guide the architecture, infrastructure, tools, and processes for AI/ML products. * Implement ... Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to ...

Powersolv

Solution Architect

East Hartford, CT · On-site

$62.50 - $82.50/hr

Experience with Microsoft Graph API, RESTful services, and secure API design. * Familiarity with ... Knowledge of OAuth 2.0, OpenID Connect, and token customization. * Experience in secure development ...

Real Soft, Inc.

AI Architect

Winchester Center, CT · On-site

$61 - $80.25/hr

... Graph API, API Gateways/Management, Messaging, and Event based architectures and streaming ... Knowledge of multi-agent workflows (planner/supervisor + specialist agents) with explicit state ...

Chubb

Head of Data Engineering, PRS

Simsbury, CT · On-site

$224K - $314K/yr

Develop and advance the data strategy, data architecture, roadmap, and vision for the Personal Risk ... Knowledge of relational/object modelling, knowledge/graph modelling techniques * Understanding of ...

The Hartford

Lead Collaboration Services Engineer

Hartford, CT · On-site

$103K - $136K/yr

AI Platform Architecture - Proven experience with Microsoft Copilot (M365 Copilot, Copilot Studio ... Microsoft Licensing & Procurement - Strong knowledge of Enterprise Agreement (EA), Server and Cloud ...

The Hartford

Lead Staff AI Data Engineer

Hartford, CT · On-site +1

Provide architectural leadership in partnership with Data Architects, including defining technical ... Develop and integrate graph database solutions to support complex data relationships within AI ...

Varsity Tutors

College Computer Science Tutor

Hartford, CT · Remote

$18 - $40/hr

Deep knowledge of data structures, algorithms, object-oriented programming, computer architecture ... Ability to explain time complexity analysis, sorting algorithms, graph traversal, memory management ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

... knowledge of modern data stacks (AWS, GCP, Snowflake, ETL/ELT, BI), Agentic solutions, graph ... data architecture. Stay up to date with industry advancements in GenAI and apply modern ...

The Hartford

Data & AI Delivery Lead

Hartford, CT · On-site +1

$156K - $234K/yr

... knowledge of modern data stacks (AWS, GCP, Snowflake, ETL/ELT, BI), Agentic solutions, graph ... data architecture. Stay up to date with industry advancements in GenAI and apply modern ...

All JobsKnowledge Graph Architect JobsKnowledge Graph Architect Jobs in Simsbury, CT

Knowledge Graph Architect information

See Simsbury, CT salary details

$47.2K

$130.6K

$204.4K

How much do knowledge graph architect jobs pay per year?

As of Sep 1, 2026, the average yearly pay for knowledge graph architect in Simsbury, CT is $130,637.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,300.00 and $168,400.00 per year, depending on experience, location, and employer.

What is a knowledge graph architect?

Knowledge Graph Architects are professionals who design, develop, and maintain knowledge graphs—data structures that organize information into interconnected entities and relationships. They combine expertise in data modeling, semantic technologies, and ontologies to enable advanced data integration, search, and analytics within organizations. Their work helps businesses extract meaningful insights from complex datasets by structuring information in ways that are both machine-readable and semantically rich.

What are the key skills and qualifications needed to thrive as a knowledge graph architect?

To thrive as a Knowledge Graph Architect, you need expertise in data modeling, semantic technologies, graph databases, and a strong background in computer science or information systems. Familiarity with tools like RDF, SPARQL, OWL, Neo4j, and experience with data integration platforms or cloud-based data services is highly valuable. Strong problem-solving, communication, and stakeholder management skills are essential to translate complex data needs into scalable knowledge graph solutions. These competencies enable effective design, implementation, and maintenance of knowledge graphs, which are critical for deriving actionable insights from complex data landscapes.

What are some typical challenges knowledge graph architects face when integrating data from diverse sources?

Knowledge Graph Architects often encounter challenges related to data heterogeneity, including varying data formats, inconsistent naming conventions, and differing semantics across multiple systems. Successfully integrating these disparate data sources requires designing robust ontologies, mapping relationships, and resolving conflicts to ensure data consistency and usability. Collaboration with domain experts, data engineers, and business stakeholders is essential to align technical solutions with business needs, making strong communication skills and adaptability crucial in this role.

What job categories do people searching Knowledge Graph Architect jobs in Simsbury, CT look for?

The top searched job categories for Knowledge Graph Architect jobs in Simsbury, CT are:

What cities near Simsbury, CT are hiring for Knowledge Graph Architect jobs?

Cities near Simsbury, CT with the most Knowledge Graph Architect job openings:

Knowledge Graph Architect jobs near you
Infographic showing various Knowledge Graph Architect job openings in Simsbury, CT as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 19% Part Time, and 2% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $130,637 per year, or $62.8 per hour.

AI/ML Engineer

1 point system

Hartford, CT • Remote

Contractor

Posted 12 days ago

Job description

Role Overview

As an AI Software Engineer, you will be responsible for designing, developing, and deploying Decision Intelligence and AI-enabled products. These solutions impact patient care, team member and patient experience, and clinical operations. You will work on a product team with engineers, data scientists, and product managers, contributing to the full product lifecycle from ideation to iteration.

Key Responsibilities

  • Collaborate with a product team to design, develop, and deploy Decision Intelligence and AI-enabled products.
  • Guide the architecture, infrastructure, tools, and processes for AI/ML products.
  • Implement knowledge graphs, ideally Neo4j, in solutions deployed to production.
  • Implement GraphRag in AI/ML products deployed to production to improve LLM response.
  • Design and implement scalable and efficient ML Ops pipelines for large volumes of data.
  • Standardize, optimize, and scale products in production environments.
  • Develop rapid prototypes to experiment and evaluate feasibility.
  • Stay current with the latest data platform and AI/ML tools, techniques, and industry trends.

Required Qualifications

Education: A Bachelor’s Degree in Engineering, Computer Science, or a similar field is required.

Experience: A minimum of 6 years of experience in software engineering, data engineering, or machine learning engineering is required. This must include 3 years of experience in data science or artificial intelligence.

Technical Skills:

  • Expert-level programming skills in Python/PySpark and Java.
  • Experience building user interfaces with HTML, CSS, and JavaScript frameworks such as React or Angular.
  • Experience with public cloud platforms, ideally Azure.
  • Proficiency with containerization and DevSecOps practices.
  • Experience working with semi-structured file formats and NoSQL databases.
  • Understanding of API design, development, and production deployment at scale.
  • Have knowledge of and have implemented knowledge graph (ideally Neo4j) in solutions deployed to production
  • Implemented GraphRag in AI/ML products that were deployed to production to improve LLM Response

Preferred Qualifications

  • Experience in the healthcare industry.
  • Knowledge of medical terminology and clinical workflows.
  • Contributions to open-source AI/ML projects.
  • A Master's degree.