AI Engineer

Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers

We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity

United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value

Overview Role Purpose Understand Clients’ business problems and engage in Client servicing to manage peer-level Client relationships Develop an accurate and realistic design plan along with risk mitigation solutions for the project Liaison with Information Architects, Designers & Business Analysts to finalize the usability and feasibility of interface designs Effectively communicate responsibilities to the track leads and mentor a collaborative team to deliver Client expectations What you will bring 10+ years of software engineering experience with a background in Computer Science (or equivalent) and a deep mastery of core fundamentals that drive scalable, testable architecture which is now applied to designing and shipping AI-powered products for customers

Hands-on experience across the full software development lifecycle (SDLC), spanning both backend and frontend technologies with focus on Python, Java, React or similar frameworks, paired with fluent use of AI-assisted development tools (e.g

GitHub Copilot, Cursor, Claude Code) to accelerate delivery Experience writing unit, integration, and end-to-end tests across the full stack

A demonstrated track record of leveraging AI to fast-track outcomes for customers — compressing discovery-to-delivery timelines, automating repetitive engineering work, and lifting code quality and throughput

Proven understanding of how AI agents are built – agent framework, prompt design, tool and function calling, orchestration, memory, and retrieval-augmented generation (RAG)

Experience with agent frameworks such as LangChain, LangGraph, CrewAI, or Strands, with the ability to translate those skills to building and deploying agents on Amazon Bedrock AgentCore

Ability to evaluate non-deterministic LLM and agent output by defining evals, assertions, and quality metrics, and instrumenting agents for tracing and observability (OpenTelemetry, CloudWatch)

Set Yourself Apart With Strong, innovative and initiative-seeking approach to problem solving and finding solutions  Flexible and proactive/self-motivated working style with strong personal ownership of problem resolution  Strong communication skills with sound articulation and comprehension  Ardent desire to explore and learn emerging interactive technologies Distinct point of view and ability to demonstrate leadership skills Experience leading development teams and architecting elegant solutions 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

Generous paid leave and holidays

Wellness program and employee assistance

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion

We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures

If you need assistance or an accommodation due to a disability, you may contact us at [email protected]