Contract W2-AI Engineer

Software Engineer / AI Application Engineer / AI Platform Engineer

End Date: 6-months from start date

Location: Any Publicis Sapient Office (2-3 days)

This requirement is necessary to accommodate in-person interview requests and, if hired, candidates must be able to visit a Publicis Sapient office to collect their company laptop and complete government-issued ID verification.

Interview Process: 1-2 internal video interviews & 1 client round

• The candidate should design scalable, secure, high-performance systems, make architecture decisions, own code quality, and guide technical direction.
• Productionization of AI Use Cases - Take AI PoCs/MVPs to production by building scaffolding, APIs, services, integrations, pipelines, environments, and release processes.
• AI Application Engineering, Not Deep ML No deep model-building required. Need practical experience with RAG, agentic workflows, LLM/API integrations, evaluation, observability, and partnering with AI Engineers.
• Azure + DevOps Delivery - Strong Azure and CI/CD experience across infrastructure, security, identity, networking, environment management, and deployment readiness.
• Enterprise Integration and Security - Integrate AI applications with UAIS, Optum, UHG, and enterprise systems while meeting security, compliance, and enterprise standards.
• Hands-On Builder Mindset - Not a strategy-only architect. Must be able to code, review code, build services, set up repos/pipelines, and improve engineering practices.