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 by designing the products and services their customers truly value. Overview Publicis Sapient is a technology company that delivers enterprise AI platforms and services, helping organizations reinvent how they operate and serve customers in an AI-driven world. Our teams build real solutions that move AI from experimentation into production and measurable business impact. As a Senior Forward Deployed Engineer, you will work at the intersection of software engineering, AI, and client delivery, partnering directly with stakeholders to design, build, and deploy enterprise-grade AI solutions. You will help clients accelerate AI adoption by combining modern engineering practices with AI technologies including Retrieval Augmented Generation (RAG), Microsoft Copilot, Claude, Azure AI services, and Java-based application development. This is an ideal opportunity for builders who want to create production-ready AI solutions that solve meaningful business challenges and deliver measurable outcomes. Your Impact Design, develop, and deploy enterprise AI solutions leveraging RAG architectures, Large Language Models (LLMs), and AI orchestration frameworks. Build client-facing AI applications using Java and modern cloud-native development practices. Integrate and optimize AI platforms including Microsoft Copilot, Claude, Azure OpenAI, and other Azure AI services. Partner directly with clients to understand business problems, translate requirements into technical solutions, and accelerate delivery. Develop scalable APIs, services, and integrations that enable secure and efficient AI-powered experiences. Implement vector search, knowledge retrieval, prompt engineering, and grounding strategies to improve AI solution accuracy and performance. Support deployment, monitoring, and continuous improvement of AI applications in Azure environments. Collaborate with cross-functional teams including engineers, architects, product managers, and domain experts to deliver end-to-end solutions. Contribute to innovation initiatives, AI accelerators, reusable assets, and best practices that enhance delivery effectiveness. Demonstrate a learning mindset by exploring emerging AI technologies and applying them to solve complex business challenges. Qualifications Skills & Experience 5+ years of professional software engineering experience. Strong proficiency in Java and enterprise application development. Hands-on experience designing and implementing Retrieval Augmented Generation (RAG) solutions. Experience building AI-powered applications utilizing LLMs and Generative AI technologies. Working knowledge of Microsoft Copilot, Copilot Studio, or related Copilot ecosystem technologies. Experience leveraging Claude or comparable enterprise LLM platforms. Strong experience with Microsoft Azure, including Azure AI Services, Azure OpenAI, App Services, Functions, Storage, and cloud-native deployment patterns. Experience developing and consuming REST APIs and integrating enterprise systems. Understanding of prompt engineering, model evaluation, AI governance, and responsible AI practices. Familiarity with vector databases, semantic search, document ingestion pipelines, and knowledge management approaches. Experience working in Agile delivery environments. Strong problem-solving, communication, and stakeholder management skills. Bachelor's degree in Computer Science, Engineering, or a related technical discipline Set Yourself Apart With Experience delivering AI solutions directly within client environments. Knowledge of agentic AI frameworks, autonomous workflows, and multi-agent architectures. Experience with Azure AI Foundry, Azure Machine Learning, or enterprise AI platforms. Exposure to LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks. Experience with containerization and cloud deployment technologies such as Docker and Kubernetes. Understanding of enterprise architecture, security, compliance, and scalable cloud design. Contributions to AI accelerators, reusable frameworks, open-source projects, or internal innovation initiatives. Passion for helping organizations move AI solutions from proof of concept into production impact 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 hiring@publicis.sapient.com Skills & Experience 5+ years of professional software engineering experience. Strong proficiency in Java and enterprise application development. Hands-on experience designing and implementing Retrieval Augmented Generation (RAG) solutions. Experience building AI-powered applications utilizing LLMs and Generative AI technologies. Working knowledge of Microsoft Copilot, Copilot Studio, or related Copilot ecosystem technologies. Experience leveraging Claude or comparable enterprise LLM platforms. Strong experience with Microsoft Azure, including Azure AI Services, Azure OpenAI, App Services, Functions, Storage, and cloud-native deployment patterns. Experience developing and consuming REST APIs and integrating enterprise systems. Understanding of prompt engineering, model evaluation, AI governance, and responsible AI practices. Familiarity with vector databases, semantic search, document ingestion pipelines, and knowledge management approaches. Experience working in Agile delivery environments. Strong problem-solving, communication, and stakeholder management skills. Bachelor's degree in Computer Science, Engineering, or a related technical discipline Set Yourself Apart With Experience delivering AI solutions directly within client environments. Knowledge of agentic AI frameworks, autonomous workflows, and multi-agent architectures. Experience with Azure AI Foundry, Azure Machine Learning, or enterprise AI platforms. Exposure to LangChain, Semantic Kernel, LlamaIndex, or similar AI orchestration frameworks. Experience with containerization and cloud deployment technologies such as Docker and Kubernetes. Understanding of enterprise architecture, security, compliance, and scalable cloud design. Contributions to AI accelerators, reusable frameworks, open-source projects, or internal innovation initiatives. Passion for helping organizations move AI solutions from proof of concept into production impact
