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Publicis Groupe

Runs advertising and digital transformation services

Director – AI Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USA$135.4k - $216.7k /yrIn-person

About the Job

Requirements

  • The role requires 8–12+ years of professional software engineering experience, with substantial recent focus on AI/ML systems such as large language models, agents, retrieval-augmented generation, or applied AI platforms.
  • Candidates must have a proven track record architecting and shipping production-grade AI-native systems at scale.
  • Candidates need expertise in languages such as Python, Java, or TypeScript, and AI engineering frameworks such as LangChain, LlamaIndex, PyTorch, or similar.
  • Candidates need deep experience with cloud environments such as AWS, Azure, or GCP and modern data/ML infrastructure.
  • Candidates need a solid understanding of software design principles, distributed systems, algorithms, and data structures.
  • Candidates must have a strong command of engineering best practices, including version control, testing, continuous integration and delivery, and observability.
  • Candidates must be able to translate complex business or client needs into scalable technical architecture.
  • Candidates need experience leading and developing engineering teams across co-located and virtual environments.
  • Candidates need experience building AI agent frameworks, tool/skill orchestration systems, or multi-agent architectures.
  • Candidates need hands-on experience with vector databases, embeddings, and retrieval-augmented generation pipelines.
  • Candidates need familiarity with large language model evaluation, fine-tuning, or prompt engineering at scale.
  • Candidates need knowledge of microservices architecture and containerization, including Docker and Kubernetes.
  • Candidates need a background in marketing technology, media data, or adjacent verticals.
  • Candidates need experience leading executive-facing technical demos or proof-of-concept work.

Responsibilities

  • Own the architecture and technical design of vertical-specific AI systems, translating business needs into scalable AI workflows, model integrations, and new engineering builds.
  • Lead the hands-on design, development, and delivery of AI-native platform capabilities, including agent orchestration, retrieval pipelines, evaluation frameworks, and monitoring frameworks.
  • Set the technical approach for adapting existing engineering capabilities or architecting bespoke solutions to solve complex client and platform problems.
  • Collaborate with Product, Strategy, Data Science, and Delivery to scope, price, structure, and prioritize technical proposals and engineering initiatives.
  • Present technical architecture and live demos that map business challenges to engineering solutions and earn senior stakeholder and client confidence.
  • Own the full software development lifecycle for AI systems, from design and prototyping through deployment, monitoring, and iteration.
  • Serve as the senior technical voice in platform roadmap discussions, translating engineering feasibility and trade-offs into product direction and investment recommendations.
  • Establish feedback loops across engineering and delivery teams to identify recurring technical challenges, guide platform enhancements, and prioritize scalable engineering investments.
  • Mentor and provide technical leadership to engineers, guiding them through complex AI system design, debugging, and architectural decisions.
  • Troubleshoot, debug, and optimize AI/ML systems and pipelines to improve performance, reliability, and cost efficiency.
  • Develop internal enablement materials and technical narratives that equip teams to build and pitch AI solutions.

Desired Qualifications

  • Active contributions to open-source AI/ML projects or a strong developer-community presence.

About the Company

Publicis Groupe

Runs advertising and digital transformation services

Publicis Groupe runs advertising, media buying and digital transformation services for companies that want to reach consumers, coordinate campaigns and improve their business systems. Its agency network includes creative and media specialists, while Publicis Sapient builds and modernizes the technology behind clients' operations. Epsilon adds customer data and marketing technology that connect brands with audiences and measure campaign results. Clients pay for consulting, campaign creation and execution, with production and media costs billed through alongside the group's service work. Founded in 1926, Publicis Groupe is headquartered in Paris, France.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1926

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