5 systems engineer jobs found in Philadelphia, PA

   Senior Software Engineer / Software Architect (.NET & Azure) We are seeking a Senior Software Engineer / Software Architect to lead end-to-end application development, modernization, and systems integration across our underwriting, billing, and policy administration platforms. This role owns the design, implementation, and maintenance of critical systems supporting core business operations in a regulated environment. The ideal candidate brings deep experience across the Microsoft technology stack, building secure, scalable, and maintainable solutions that align with business objectives and compliance standards. Key Responsibilities Design, build, and maintain full-stack applications using C#, ASP.NET Core and low code solutioning Modernize and support existing web applications, document generation systems, and financial workflows Implement integrations with internal and third-party systems using REST APIs, Azure Functions, Logic Apps, and ETL pipelines Own...

Why Join Risk Consulting at AIG?   Risk Consulting at AIG is about teamwork! It is about utilizing your resources, working together to solve real world problems, and making a positive impact on our client’s futures. When asked, “why do we enjoy what we do?” The answer is simple, the people.   The role of a Senior Field Risk Engineer is core to what we do at AIG, both as a risk management resource to our clients and as a leading global insurance organization. Field Risk Engineers are responsible for working with clients to identify and mitigate risks to their business such as fire, flood, windstorm, equipment breakdown etc.  A Day in the Life   Looking for variety and a challenge? Property loss prevention surveys range in size and scope. One day you may be looking at a metal working facility, the next, a university campus. The key to success isn’t about being the expert in every occupancy, it’s about building trust and cross-functional relationships with stakeholders...

Join Starr, a global leader in commercial insurance with over a century of expertise. We empower our employees to innovate, make impactful decisions, and build lasting client relationships worldwide. At Starr, you'll work in an entrepreneurial culture alongside accessible leaders, leveraging our financial strength and vast industry experience to deliver solutions for our clients, no matter how complex. Grow your career with a rapidly growing company that invests in its people and their ability to drive real progress. Job Title:  Director, Quality Engineering Location:  New York, NY / Philadelphia, PA / Atlanta, GA Department:  Starr Technology Group Overview: The Director, Quality Engineering plays a critical leadership role responsible for operationalizing and scaling Starr’s Quality Engineering (QE) strategy. This leadership position is tasked with leading the execution of QE methodologies, managing QE teams, and driving the maturity of automated and manual...

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....