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.