Design, build, and advance automation capabilities for federal health IT services, transforming manual processes into reliable workflows across ServiceNow, integrations, and modern delivery platforms.
Responsibilities
Evaluate automation opportunities using service data and stakeholder input
Build, test, and enhance ServiceNow workflows using Flow Designer and Integration Hub
Develop and maintain REST API integrations with enterprise systems
Engineer and optimize GitLab CI/CD pipelines and infrastructure-as-code solutions
Integrate AI-assistant capabilities with ServiceNow case creation
Requirements
Nice to have: ServiceNow Certified Application Developer
The GTM AI Solutions Engineer will design, build, deploy, and optimize AI-powered solutions that support Go-to-Market (GTM) teams. This individual will help develop AI assistants, automate workflows, connect enterprise systems, and transform complex business and technical information into accessible tools.
Compensation
$50-$55/hour W2
Responsibilities
Lead AI solutions from discovery and proof of concept through MVP development, testing, deployment, and launch.
Take ownership of an existing AI-powered GTM support assistant and expand its capabilities.
Build AI agents, assistants, retrieval systems (RAG), and knowledge libraries grounded in business and platform data.
Develop automated workflows for support intake, ticket triage, routing, and notifications through Microsoft Teams.
Build and deploy AI applications using Claude, Microsoft Copilot Studio, Python, and relevant AI APIs.
Lead the design, build, integration, deployment, and support of enterprise workflow applications on the Quickbase platform for Doxim’s operational and customer-facing needs.
Locations (2)
Canada
United States
Responsibilities
Design, build, test, deploy, and maintain production-ready Quickbase applications
Develop complex relational data models, formulas, automations, forms, reports, dashboards, and role-based user experiences
Build, monitor, and troubleshoot Quickbase Pipelines, REST API integrations, webhooks, and JSON-based data exchanges
Convert approved process maps, requirements, user stories, and acceptance criteria into scalable technical solutions
Diagnose defects, data-integrity issues, integration failures, and performance problems and implement sustainable corrections
Requirements
Bachelor’s degree in Computer Science, Information Systems, Engineering, business, or a related field, or equivalent relevant experience
MES Engineer responsible for designing, developing, and implementing manufacturing software solutions using Ignition Perspective and Sepasoft MES, focusing on OEE and integration with industrial systems.
Responsibilities
Design, develop, and deploy applications using Ignition Perspective and Sepasoft MES
Develop software integrations involving SQL databases, data collection, reporting, Python scripting, and REST APIs
Create applications that provide actionable insights into manufacturing performance
Translate manufacturing requirements into scalable, reliable, and user-friendly software solutions
Participate in all phases of project delivery including requirements gathering, system architecture, development, testing, commissioning, and startup
Requirements
Bachelor's degree in Electrical Engineering, Computer Science, Computer Engineering, or a related technical field
Nice to have: Overall Equipment Effectiveness (OEE) applications