Publicis Sapient - Agentic AI Developer/Architect - Python

JOB SUMMARY : At Publicis Sapient, we don't just build technology; we create transformative solutions. By integrating Generative AI into our ecosystem, we're shaping a new era of personalized and intelligent digital experiences for global clients. From building AI-driven content compliance systems to optimizing real-time decision-making, we leverage Large Language Models (LLMs) and cutting-edge AI technologies to solve industry-specific challenges. About the Team : Join a team transforming enterprise operations through AI-driven intelligence and GenAI powered automation. Our AI platform enables context-aware automation, RCA-based remediation, and agentic AI & conversational agents - driving autonomous, self-healing IT operations across multiple customer domains. About the Role : We are looking to build a small, high-impact Forward Deployment Team that works closely with customers to deliver pilot implementations and proof-of-value deployments. The team's mission is to rapidly showcase compelling use cases using our AI platform. Key Responsibilities : - Work directly with customers to understand business and technical problems and translate them into pilot use cases. - Design and build end-to-end pilot deployments using the platform, typically within short timelines. - Develop backend services, integrations, and workflows to support demo and pilot scenarios. - Leverage GenAI / LLM capabilities (APIs, prompts, embeddings, existing AI agents) to implement intelligent use cases. - Integrate platform with enterprise systems (ITSM tools, databases, cloud services, APIs). - Build or modify basic front-end components to support demos and customer workflows. - Collaborate with Product Engineering team to feed learnings back into the platform. - Support customer conversations by explaining architecture, trade-offs, and value. Required Skills & Experience : - Backend development experience and hands-on coding with Python and/or Java. - Experience working with GenAI technologies, including LLM APIs (Claude, OpenAI, Azure OpenAI etc.), prompt engineering, RAG, and agent-based patterns. - Experience building integrations with enterprise systems (ITSM, observability, CRM, ERP, databases, cloud services). - Exposure to cloud-native architectures (microservices, containers), DevOps practices (CI/CD, IaC) and observability. - Front-end familiarity with JavaScript and React. - Strong debugging and problem-solving skills in ambiguous, customer-facing environments. - Prior experience in customer-facing roles in engineering (solutions engineering, SRE, platform engineering) and support. Education : - Bachelor's degree in Engineering, or a related field. - Certifications in Cloud, AI, UI, Design and Enterprise Architecture are a plus.