We are looking for an Artificial Intelligence (AI) Engineer to help turn promising AI concepts into reliable, scalable solutions used across the business. This role works closely with technology, product, and operational teams in Conshohocken, Pennsylvania to guide practical delivery decisions, strengthen production AI systems, and ensure solutions are secure, governable, and useful for everyday workflows. The ideal candidate combines hands-on engineering depth with strong judgment, enabling teams and stakeholders to move from experimentation to measurable business impact.<br><br>Responsibilities:<br>• Collaborate with cross-functional technology and product teams to advance AI initiatives from early testing into stable production environments while aligning with existing ownership across the organization.<br>• Design, build, and support production-ready AI systems, while providing technical guidance and mentorship to other engineers contributing to delivery efforts.<br>• Define and improve the end-to-end productionization process for AI solutions, including system architecture, model evaluation, performance optimization, cost management, observability, and continuous iteration.<br>• Embed AI capabilities into operational workflows so that teams gain practical adoption, improved efficiency, and stronger output quality rather than isolated proof-of-concept results.<br>• Apply responsible AI practices that support healthcare-oriented expectations around privacy, security, governance, and model oversight without slowing delivery unnecessarily.<br>• Assess third-party platforms, vendors, and integration approaches to identify scalable options and avoid tools that create fragmented or short-term solutions.<br>• Drive automation opportunities across content and compliance-related processes to create more efficient and differentiated delivery capabilities.<br>• Contribute technical expertise during client discussions, proposals, and new business efforts by clearly representing what can be built and delivered in real-world timelines.<br>• Engage confidently with client and internal stakeholders across IT, brand, medical, and agency functions, translating technical considerations into practical business decisions.<br>• Help non-technical users adopt AI tools by promoting governed, accessible solutions that fit the needs of teams beyond engineering.
We are looking for an AI Security Architect to help shape and strengthen the security posture of enterprise AI capabilities in Pennsylvania. This contract opportunity is ideal for a security specialist who can guide the safe adoption of AI platforms, agent-based tools, and AI-assisted development practices while aligning with internal standards and regulatory expectations. The role works closely with technology, risk, compliance, and business teams to evaluate emerging capabilities, address evolving threats, and support responsible innovation.<br><br>Responsibilities:<br>• Develop and refine security architecture for AI platforms, intelligent agents, and AI-assisted coding solutions to support secure deployment and ongoing operations.<br>• Assess platform enhancements, configuration updates, and newly introduced AI features to identify potential risk and recommend practical safeguards before implementation.<br>• Establish and improve protective controls for AI environments, including permissions, monitoring, logging, data safeguards, and usage restrictions.<br>• Analyze how sensitive and regulated information is handled within AI workflows, and support governance efforts related to classification, labeling, and responsible data use.<br>• Review connectors, plugins, integrations, and agent-driven capabilities to confirm appropriate access levels and reduce exposure across teams and systems.<br>• Conduct structured security evaluations of AI tools, models, and services to verify alignment with internal policies and relevant industry guidance.<br>• Research new AI security technologies and threat patterns, including prompt-based attacks, model misuse, and unintended data exposure, and identify opportunities for improvement.<br>• Partner with stakeholders across IT, risk, compliance, and business functions to communicate findings and advance secure AI adoption.<br>• Support secure software development by reviewing AI-generated code practices and incorporating AI-focused security checks into engineering workflows.<br>• Produce meaningful security metrics, including key risk and performance indicators, to strengthen monitoring and decision-making for AI security operations.
We are looking for a Senior MLOps Engineer to strengthen our machine learning infrastructure in King of Prussia, Pennsylvania. This hybrid position will focus on building dependable systems that support the full model lifecycle, from data preparation and training to deployment and ongoing performance oversight. The role works closely with machine learning and engineering partners to improve reliability, scalability, and cost efficiency across production ML operations.<br><br>Responsibilities:<br>• Lead the design, maintenance, and enhancement of the machine learning platform that supports experimentation, training workflows, model versioning, deployment, and production observability.<br>• Develop and operate resilient data pipelines for model training and live inference, including processes for replaying historical data, recovering from source interruptions, and handling delayed or inconsistent inputs.<br>• Establish data handling practices that preserve time-accurate training sets so models are built on information available at the correct point in time.<br>• Create repeatable pathways for promoting validated models into production while maintaining consistency, traceability, and operational stability.<br>• Implement standards that make training runs reproducible, allowing teams to reliably compare results and investigate performance changes.<br>• Track model behavior in production over time, including delayed outcome validation, and surface issues that affect model quality or business impact.<br>• Optimize infrastructure and workflows to manage compute and data costs as usage expands across larger datasets and multiple deployed models.<br>• Collaborate with ML engineers on model assessment, production readiness, and technical decision-making related to deployment strategies and platform improvements.<br>• Contribute to architecture planning and recommend enhancements to the broader ML and operational ecosystem using sound engineering practices.<br>• Support cloud-native operations using AWS, Kubernetes, Terraform, and Ansible to maintain scalable and well-managed environments.
We are looking for an Infrastructure Engineer to support and strengthen enterprise infrastructure operations across on-premises and cloud environments. This contract opportunity is ideal for a hands-on individual who can help maintain reliable data center services, improve Microsoft 365 and Azure platforms, and contribute to secure, scalable technology solutions. The role partners with internal teams and external providers to deliver practical infrastructure improvements, support end users, and drive consistent operational standards.<br><br>Responsibilities:<br>• Deliver technical support for employees using Windows, macOS, iOS, and Android devices, ensuring timely resolution of hardware, software, and access issues.<br>• Oversee the health and performance of data center systems across physical, virtual, and hosted environments, and work with service partners to implement improvements.<br>• Execute infrastructure updates and platform changes across servers, operating systems, virtualization layers, and storage systems using controlled deployment practices.<br>• Administer and enhance Microsoft 365 and Azure services with a focus on usability, security, service consistency, and cost awareness.<br>• Configure and support identity and access solutions, including Active Directory and Azure Active Directory integrations with cloud applications and SaaS platforms.<br>• Participate in disaster recovery planning and carry out recovery procedures to validate readiness and alignment with business expectations.<br>• Introduce tools and processes that simplify end-user support, while guiding teams through adoption of new infrastructure services and capabilities.<br>• Create and maintain technical standards, system documentation, and operational procedures to support repeatable service delivery.<br>• Lead or contribute to small and mid-sized infrastructure initiatives across multiple sites, coordinating tasks, timelines, and technical execution.
We are looking for an Automation Engineer to support industrial technology systems in New Holland, Pennsylvania. This position focuses on building reliable connections between plant operations and enterprise platforms while helping teams maintain secure, high-performing OT environments. The role also works closely with operational and technical stakeholders to strengthen system architecture, improve support processes, and uphold cybersecurity standards across the facility.<br><br>Responsibilities:<br>• Design and deploy automation and operational technology solutions that enable dependable system performance and effective data exchange across plant and enterprise environments.<br>• Partner with production, engineering, and IT teams to align shop-floor control systems with broader infrastructure and business applications.<br>• Review and confirm industrial architecture plans to ensure technical soundness, scalability, and compliance with organizational standards.<br>• Establish and maintain connectivity between manufacturing automation platforms and company systems used for reporting, monitoring, and data sharing.<br>• Support site teams in sustaining OT equipment and software by promoting preventive maintenance and resolving performance issues.<br>• Guide troubleshooting efforts for operational technology incidents and help drive timely corrective actions to minimize disruption.<br>• Apply and maintain cybersecurity controls that reduce risk to plant systems and strengthen protection against operational threats.<br>• Execute remediation activities identified through security reviews, assessments, and audit findings within OT environments.<br>• Enforce industrial cybersecurity policies and site procedures to ensure operational technology systems remain compliant and secure.