<p>Our client is seeking a hands-on Software Development Team Lead to guide a cross-functional team responsible for building, enhancing, and supporting critical business applications. This individual will lead while remaining closely involved in technical decision-making, system design, and production support.</p><p><br></p><p>This is an ideal opportunity for someone who enjoys mentoring teams, driving delivery, and staying connected to the technology without being a day-to-day individual contributor.</p><p><br></p><ul><li>Mentor a team of software developers across multiple application initiatives.</li><li>Partner with business stakeholders to prioritize work, gather requirements, and deliver solutions that improve operational efficiency.</li><li>Provide technical leadership through architecture reviews, design discussions, code reviews, and release planning.</li><li>Drive modernization efforts across a portfolio of custom business applications and integrated platforms.</li><li>Help evolve development practices, including the use of AI-assisted development tools, automation, testing, and specification-driven delivery approaches.</li><li>Oversee application support, incident response, and root cause analysis to maintain system reliability and performance.</li><li>Collaborate with IT leadership on roadmap planning, resource allocation, team development, and process improvement.</li></ul><p><br></p>
<p>We are looking for a Full Stack AI Engineer for a long-term consultant position. This role is responsible for designing, building, and delivering end-to-end intelligent applications and agentic AI systems that enable automation, decision-making, and enhanced user experiences across our client's enterprise landscape.</p><p> </p><p>This role combines full-stack software engineering with applied AI to develop systems that can reason, plan, and execute tasks autonomously. The engineer partners with product, architecture, and business teams to translate complex requirements into scalable, production-ready solutions that integrate seamlessly with enterprise platforms, data, and processes.</p><p> </p><p>The position emphasizes hands-on development, system integration, and continuous delivery of business value, ensuring AI-enabled capabilities are reliable, secure, and aligned with enterprise standards while advancing innovation and operational efficiency.</p>
<p>We are looking for an Artificial Intelligence (AI) Platform Engineer to support the design, operation, and enhancement of enterprise AI platform capabilities in central OH. This Long-term Contract position will focus on creating dependable services, infrastructure, and automation that help teams build, deploy, and manage AI solutions at scale.</p><p><br></p><p>The AI Platform Engineer is responsible for building, operating, and continuously improving the core platform capabilities that enable development, deployment, and scaling of AI solutions across our client's enterprise environment.</p><p> </p><p>This role focuses on implementing platform services, APIs, and infrastructure that support the AI software development lifecycle, including model integration, orchestration, deployment, and monitoring. Working under architectural guidance, the engineer ensures platform components are reliable, secure, and reusable, enabling application teams to efficiently develop and deploy AI-enabled solutions.</p><p> </p><p>The position emphasizes hands-on engineering, cloud platform operations, and automation, ensuring AI workloads execute consistently and efficiently across environments. Through collaboration with platform, data, and application teams, the AI Platform Engineer contributes to improving developer experience, accelerating adoption of AI capabilities, and maintaining stable, scalable platform operations.</p><p><br></p><p><br></p><p><br></p><p>Responsibilities:</p><p>• Build and maintain core AI platform services that support model development, integration, deployment, and ongoing operations across enterprise environments.</p><p>• Develop APIs, reusable components, and infrastructure patterns that enable application teams to deliver AI-enabled solutions more efficiently.</p><p>• Manage cloud-based platform operations to ensure AI workloads run reliably, securely, and consistently at scale.</p><p>• Implement automation for provisioning, deployment, monitoring, and support processes to improve platform stability and reduce manual effort.</p><p>• Collaborate with platform, data, and software engineering teams to align technical solutions with architectural standards and business needs.</p><p>• Monitor platform health, troubleshoot operational issues, and drive continuous improvements in performance, resilience, and usability.</p><p>• Support orchestration and lifecycle management of AI services, including deployment workflows, runtime management, and observability.</p><p>• Contribute to a scalable engineering environment that accelerates enterprise adoption of AI capabilities while maintaining strong operational controls.</p>
<p>We are looking for an experienced Senior Infrastructure Architect/Engineer to support enterprise cloud architecture initiatives for a great organization in Marysville, Ohio. This Long-term Contract position is primarily onsite four days per week and focuses on designing, implementing, and optimizing scalable infrastructure across cloud and hybrid environments. The ideal candidate will bring deep expertise in Windows and Linux administration, cloud platforms, container technologies, and infrastructure automation while partnering with technical teams to deliver reliable, resilient solutions.</p><p><br></p><p>Responsibilities:</p><p>• Design, deploy, and maintain Windows and Linux server environments across major cloud infrastructure platforms.</p><p>• Drive cloud infrastructure initiatives from planning through execution while ensuring solutions align with enterprise architecture and technical standards.</p><p>• Assess platform and container service options to improve system performance, availability, scalability, and operational flexibility.</p><p>• Research emerging infrastructure technologies and lead adoption efforts where they add measurable value to the environment.</p><p>• Oversee the movement of on-premises infrastructure into cloud-based environments while preserving compatibility with existing enterprise systems.</p><p>• Implement and support Kubernetes-based container platforms, including enterprise distributions such as Red Hat OpenShift, in accordance with architectural guidelines.</p><p>• Diagnose and resolve complex issues affecting cloud compute, storage, and containerized workloads.</p><p>• Build and enhance automation for provisioning, configuration management, and ongoing administration across cloud and on-prem environments.</p>