Senior Product AI Engineer - Lead AI-Driven SDLC Platform

Publicis Groupe ANZ; Chicago, Northern (IL, KY); Hybrid; USD 165,000 - 195,000; Full time

Benefits offered by this job

Wellness program

Generous paid leave

Comprehensive health benefits

Ongoing learning and development

Inclusive workplace

Job summary

Publicis Sapient in Chicago is seeking a Product Engineer to design, develop, and maintain AI-powered platform tools that drive business value across the entire SDLC. You will collaborate with product managers, designers, and engineers to deliver scalable solutions that meet user needs and performance targets.

You will lead a team of engineers, ensure security and reliability, and stay aligned with evolving AI technologies and industry best practices to continuously improve the end-to-end

Qualifications

• 7+ years of software development and product engineering.
• Experience leading and mentoring teams to deliver on timelines.
• System design and architecture (HLD/LLD).
• Cloud platforms and microservices; Agile/DevOps familiarity.

Responsibilities

• Collaborate with product managers, designers, and engineers to develop products.
• Lead and mentor team of engineers to design, develop, test software.
• Ensure scalability, performance, and security of digital products.
• Contribute to end-to-end product lifecycle from ideation to deployment.
• Stay updated on emerging technologies to drive improvement.
• Troubleshoot and resolve technical issues for smooth operation.

Skills

Python

LLM

LangChain

LlamaIndex

LangGraph

crewAI

AutoGen

Cloud platforms

Microservices

Distributed systems

System design

Leadership

Agile/DevOps

Job description

Publicis Sapient in Chicago is seeking a Product Engineer to design, develop, and maintain AI-powered platform tools that drive business value across the entire SDLC. You will collaborate with product managers, designers, and engineers to deliver scalable solutions that meet user needs and performance targets.

You will lead a team of engineers, ensure security and reliability, and stay aligned with evolving AI technologies and industry best practices to continuously improve the end-to-end