Senior Full Stack AI Engineer - Azure AI Foundry

Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview We are seeking a Senior Full-Stack AI Engineer to build and scale enterprise-grade AI applications, agents, copilots, and workflow automation solutions. This role is focused on building and scaling enterprise AI solutions on Azure, with a strong emphasis on Azure AI Foundry. The engineer will design, implement, and operate AI-powered applications such as agents, copilots, and workflow automation, integrating them into existing enterprise systems through robust APIs. Front-end capabilities are important to enable usable AI experiences, with React considered highly desirable, but deep Azure AI engineering expertise is the primary driver of success in this role. Responsibilities Your Impact Design and deliver production-grade AI applications (agents, copilots, automation workflows) with a strong focus on Azure AI Foundry and Azure-based AI services. Build and maintain backend services and APIs (e.g., Node.js and/or other modern backend stacks) that integrate AI capabilities into enterprise systems. Integrate internal and external systems via secure APIs and MCP-style integration patterns, enabling extensibility and orchestration. Implement robust engineering practices to ensure quality, security, and maintainability in AI-enabled systems (testing, monitoring, CI/CD). Partner with cross-functional teams to translate business requirements into reliable AI-powered features and workflows. Review and validate AI-generated outputs and code, applying strong engineering judgment to avoid low-quality or insecure implementations. Contribute to front-end experiences for AI products; React/TypeScript is preferred, but equivalent modern web UI experience is acceptable. Qualifications Skills & Experience 8+ years of professional software engineering experience delivering production systems. Mandatory: Hands-on experience building AI solutions on Azure, with direct experience using Azure AI Foundry. Experience building enterprise AI applications such as agents, copilots, workflow automation, or AI-enabled product features. Strong backend engineering and API development experience (Node.js preferred; other backend stacks acceptable with proven API delivery). Experience integrating systems through APIs; familiarity with orchestration/integration patterns (including MCP-style approaches). Front-end development capability for modern web applications; React + TypeScript strongly preferred. Experience with cloud engineering practices (CI/CD, observability, containerization) in production environments. Strong engineering standards: code quality, testing discipline, security mindset, and performance/scalability awareness. Set Yourself Apart With Experience designing end-to-end AI workflows and agent architectures deployed in production. Strong experience operating within Azure environments (security, governance, monitoring, scalable deployments). Experience with event-driven systems and asynchronous communication patterns. Comfort reviewing AI-generated code and outputs with a pragmatic, risk-aware mindset. Contributions to developer productivity, internal platforms, or reusable engineering frameworks. Additional information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at [email protected]

Skills & Experience 8+ years of professional software engineering experience delivering production systems. Mandatory: Hands-on experience building AI solutions on Azure, with direct experience using Azure AI Foundry. Experience building enterprise AI applications such as agents, copilots, workflow automation, or AI-enabled product features. Strong backend engineering and API development experience (Node.js preferred; other backend stacks acceptable with proven API delivery). Experience integrating systems through APIs; familiarity with orchestration/integration patterns (including MCP-style approaches). Front-end development capability for modern web applications; React + TypeScript strongly preferred. Experience with cloud engineering practices (CI/CD, observability, containerization) in production environments. Strong engineering standards: code quality, testing discipline, security mindset, and performance/scalability awareness. Set Yourself Apart With Experience designing end-to-end AI workflows and agent architectures deployed in production. Strong experience operating within Azure environments (security, governance, monitoring, scalable deployments). Experience with event-driven systems and asynchronous communication patterns. Comfort reviewing AI-generated code and outputs with a pragmatic, risk-aware mindset. Contributions to developer productivity, internal platforms, or reusable engineering frameworks.

Your Impact Design and deliver production-grade AI applications (agents, copilots, automation workflows) with a strong focus on Azure AI Foundry and Azure-based AI services. Build and maintain backend services and APIs (e.g., Node.js and/or other modern backend stacks) that integrate AI capabilities into enterprise systems. Integrate internal and external systems via secure APIs and MCP-style integration patterns, enabling extensibility and orchestration. Implement robust engineering practices to ensure quality, security, and maintainability in AI-enabled systems (testing, monitoring, CI/CD). Partner with cross-functional teams to translate business requirements into reliable AI-powered features and workflows. Review and validate AI-generated outputs and code, applying strong engineering judgment to avoid low-quality or insecure implementations. Contribute to front-end experiences for AI products; React/TypeScript is preferred, but equivalent modern web UI experience is acceptable.