AgileGrid Solutions is a staffing and recruiting company focused on helping businesses find, attract, and hire qualified talent across a range of industries. The company provides recruitment and workforce solutions tailored to the specific hiring needs of employers, from sourcing and screening candidates to supporting the overall hiring process. AgileGrid Solutions works to connect skilled professionals with the right career opportunities while helping organizations build reliable, high-performing teams. With a focus on efficient recruitment, quality talent, and client satisfaction, the company aims to simplify the hiring process and deliver effective staffing solutions.
On-site
Lead the design, development, and deployment of predictive analytics and machine learning solutions, while overseeing data integration, database architecture, and computing environments. Mentor data science team members, communicate insights and recommendations to stakeholders, and drive adoption of emerging technologies and enterprise data science practices.
On-site
Analyze product failures, identify root causes, develop corrective actions, and design and execute tests to validate product performance. Collaborate with internal teams, customers, and other stakeholders on quality improvements, document investigations, optimize testing tools and procedures, and maintain compliance with applicable standards and quality systems.
On-site
Lead multiple R&D projects from concept through commercialization, coordinating cross-functional teams and external partners to develop and scale innovative food products. Ensure projects meet timelines, budgets, regulatory and quality requirements, while documenting results and supporting continuous improvement and sustainability.
On-site
Manage food product development projects from conception through completion, coordinating internal teams, clients, and partners to meet project objectives and timelines. Develop and maintain product specifications and procedures, coordinate product samples and testing, and support factories in meeting quality, safety, and product integrity requirements.
On-site
Troubleshoot product failures, analyze data, identify root causes, and develop and execute test plans to assess product performance and reliability. Document findings in NCR and 8D reports, coordinate corrective and preventive actions, communicate technical updates, develop testing fixtures and software, and support quality and manufacturing improvements.
On-site
Troubleshoot product failures, analyze data to identify root causes, and develop and execute test plans to verify product performance. Document findings in NCR and 8D reports, coordinate corrective and preventive actions, communicate technical updates to customers, and support testing improvements and new product launches.
On-site
Troubleshoot product failures, identify root causes, and develop corrective actions while designing and executing tests to assess product performance and reliability. Collaborate with internal teams and external partners, document and communicate findings through NCR and 8D reports, develop testing tools, and contribute to quality and manufacturing improvements.
On-site
Lead R&D projects from conception through implementation, managing timelines, budgets, resources, documentation, and regulatory compliance. Collaborate with internal teams, suppliers, and external partners to develop and improve products, processes, and packaging while supporting innovation and sustainability initiatives.
On-site
Define enterprise data platform strategy and architecture standards, and lead the design, modernization, and optimization of scalable cloud platforms for analytics, AI, machine learning, and reporting. Establish operational, security, and governance practices while guiding incident response, collaborating across teams, and mentoring engineers.
On-site
Lead the design, development, and deployment of predictive analytics and machine learning models, while overseeing data integration, preparation, databases, and computing environments. Provide technical leadership and mentorship, communicate insights to stakeholders, and collaborate across teams to align solutions with business needs and advance data science capabilities.
Remote · Canada
Lead client discovery and translate business requirements into scalable loyalty solutions, documenting designs and coordinating scope, feasibility, budgets, and delivery across teams. Serve as the liaison among clients, business, product, and technical stakeholders; support sales opportunities, inform product roadmaps, and maintain solution integrity through launch.
Remote · Canada, United States
Source and recruit candidates, post job openings, screen resumes, coordinate interviews, and communicate with applicants through email and LinkedIn. Support onboarding and HR operations by assisting with AI-based tasks, updating systems, entering data, maintaining records, and preparing recruitment and onboarding reports.
Hybrid
Translate business needs into scalable technology solutions by gathering and documenting requirements, assessing processes, and coordinating with stakeholders, IT teams, vendors, and solution partners. Support solution delivery from planning and design through testing, deployment, and stabilization, while ensuring compliance, improving operations, and promoting user adoption.
On-site
Lead complex hardware NPI and strategic improvement projects, defining scope, schedules, budgets, resources, and risk mitigation across engineering, manufacturing, testing, and supply chain teams. Monitor project performance and KPIs, mentor other project managers, manage change and stakeholder communications, and coordinate global handoffs and continuous improvement.
On-site
Design, build, and maintain scalable full-stack and AI-enabled applications, including LLM, RAG, and multi-agent solutions, using cloud-native and API-first architectures. Lead technical design and engineering practices, improve CI/CD and DevSecOps automation, resolve complex issues, collaborate across teams, and mentor engineers.
On-site
Translate business needs into scalable technology solutions, leading requirements gathering, process analysis, solution design, testing, and delivery in collaboration with business and technical stakeholders. Support implementation and production operations, improve processes and system reliability, and ensure solutions meet regulatory, audit, security, and governance requirements.
On-site
Design, develop, and maintain scalable full-stack and AI-enabled applications, and architect cloud-native solutions using Azure, Kubernetes, microservices, and event-driven patterns. Lead technical design and engineering standards, improve CI/CD and DevSecOps practices, resolve complex issues, and mentor team members while collaborating across functions to deliver secure and reliable software.
On-site
Design, build, and optimize scalable healthcare data pipelines, ETL/ELT processes, data models, and cloud analytics solutions using Databricks, Spark, SQL, and Python. Maintain data quality, governance, security, monitoring, orchestration, and CI/CD practices while collaborating with cross-functional teams and supporting enterprise data modernization.
Hybrid
Design and operate AWS-based batch and incremental data pipelines, and lead the profiling, cleansing, migration, and reconciliation of legacy data into a governed platform. Collaborate with architects, engineers, and business stakeholders to establish data models and quality controls, integrate trusted data with downstream systems, and support reliable production delivery through testing, CI/CD, and technical guidance.
Hybrid
Develop and optimize AI solutions and the MLOps platform, owning end-to-end delivery across workflow orchestration, APIs, services, and user interfaces. Integrate AI solutions with insurance systems, collaborate with data and operations teams, and provide technical leadership while improving delivery practices.
