AI Engineer

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

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.

Hands-on experience building and deploying production-grade LLM, agentic and workflow automation solutions using Microsoft Azure AI Foundry + AIFS, Azure OpenAI, Amazon Bedrock, Amazon Bedrock AgentCore or comparable enterprise AI platforms, including practical use of agent frameworks such as LangChain, LangGraph, CrewAI or Strands.

Experience writing unit, integration, and end-to-end tests across the full stack, including AI-enabled application components, service integrations and workflow automation.

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.

Strong understanding of agent orchestration, prompt design, tool and function calling, grounding, memory and retrieval-augmented generation (RAG).

Experience implementing intelligent document processing solutions, including OCR, vision models, document classification, structured data extraction, schema validation, confidence scoring, benchmarking/evaluation and human-in-the-loop review.

Understanding of enterprise AI security and governance, including identity, secrets management, auditability, data privacy, responsible AI controls, cost management, production observability and operational support.

Demonstrated ability to deliver production-ready AI capabilities within fixed sprint and release constraints, considering security, privacy, cost management, monitoring, reliability, release governance and ongoing operational needs.

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

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 hiring@publicis.sapient.com