3 lead software development engineer jobs found in Philadelphia, PA

Primary Details Time Type: Full time Worker Type: Employee The purpose of this role is to develop and implement automation solutions using various tools to streamline processes and eliminate repetitive tasks. This includes building complex automation solutions, such as End User Developed Applications, robotics, web services, and ensuring operational support through incident management. Responsibilities: Work in partnership with the Automation team to identify and size automation opportunities with a positive ROI. Build complex automation solutions using Robotic Process Automation (RPA) technologies and other relevant programming languages. Drive financial and customer benefits through the implementation of automated technologies. Work closely with business stakeholders to understand business needs and translate them into technical designs. Implement fit-for-purpose automation solutions within existing infrastructure. Develop automated opportunities to meet...

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....