Senior AI Engineer

Job Description

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