3 senior systems engineer jobs found in Philadelphia, PA

Job Responsibilities and Requirements The Manager of Data Engineering is responsible for leading a high-performing and inclusive team of data engineers within the Information Services department. This role oversees the technical vision, execution, and optimization of enterprise data solutions, ensuring robust, auditable, and compliant data pipelines and models. The manager collaborates across business units and IT stakeholders to drive impactful data initiatives, optimize processes, and support the organization’s financial and operational objectives.   Key Responsibilities: Lead, coach, and develop a team of data engineers, fostering technical and professional growth. Implement and execute a strategic technical vision for enterprise-wide data integration, modeling, and processing, encompassing all business subject areas such as policies, claims, billing, ratings, general ledger, and annuities. Design, build, and scale robust and compliant data pipelines and models,...

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....

Primary Details Time Type: Full time Worker Type: Employee AI Engineer – Role Overview Specialises in designing and deploying GenAI solutions by crafting effective, domain-specific prompts and ensuring scalable, production-ready integration through MLOps practices. Key Responsibilities/Qualifications: • Prompt Engineering: Create and optimise prompts to drive accurate and relevant LLM outputs tailored to specific business needs. • Business Domain Acumen: Collaborate with stakeholders to understand industry-specific terminology, processes, and challenges, enabling more effective AI solutions. • MLOps Integration: Build, deploy, and manage GenAI pipelines using platforms such as MLflow or Azure ML, ensuring reliability, scalability, and maintainability. • Responsible AI: Apply principles of fairness, transparency, and security, including bias mitigation and model explainability. Responsibilities: Analyse business requirements, design and implement solutions....