AI Engineer, R&D

A collective energy and ambition. A place where you can make a real difference.

We’re a company that genuinely cares about our people, our products, our consumers and the environment.

Our unique, informal culture champions courage, determination and collaboration. Knowing we have an open and supportive team means each of us has the freedom to take responsibility and ownership. We have a shared passion to work hard, innovate and push boundaries.

United by the belief that when we strive for growth, anything is possible. While we might not be the largest company in our industry, we believe we can have the biggest impact because:
Together We Have the Power to Win.

Job Summary Church & Dwight is seeking an AI Engineer to join our R&D Agentic Pod team, which is responsible for designing, building, deploying, and scaling AI-powered products that transform how R&D teams make decisions and operate. The AI Engineer, R&D will specialize in large language models and generative AI, with primary accountability for building reliable retrieval-augmented generation systems, agentic workflows, orchestration, and production integrations.

About the Role The AI Engineer, R&D will translate R&D business requirements into secure, scalable AI products that combine enterprise knowledge, approved data, machine learning models, tools, and human oversight. The AI Engineer builds the technical foundations that enable agents and generative AI applications to operate reliably in the enterprise.

Working closely with R&D, Quality, & Regulatory stakeholders, AI Champions, Data Scientists, GTA partners, enterprise architecture, security, data engineering, and platform teams, this role contributes from prototype through deployment, monitoring, adoption, and continuous improvement.

Success in this role will be measured by solution quality, accuracy, reliability, security, maintainability, user adoption, business impact, cost and latency performance, and delivery of reusable generative AI capabilities.

The role sits within the Global R&D Innovation & AI organization, reporting to the Lead, R&D Agentic Pod..Work Environment Hybrid:
This is a hybrid role based in Princeton, NJ, and requires in- person attendance on Tuesdays, Wednesdays, and Thursdays, with remote work options on Mondays and Fridays.

Role Accountabilities and Responsibilities Translate R&D business needs into secure, scalable AI products combining approved enterprise knowledge, structured and unstructured data, models, tools, permissions, and human oversight.

Design, build, test, deploy, and maintain LLM and generative AI applications, agentic workflows, and orchestration patterns covering planning, routing, tool use, memory, handoffs, and human-in-the-loop controls.

Build and optimize RAG systems using vector databases, embeddings, chunking, indexing, metadata, hybrid search, reranking, grounding, and source attribution; create traceable ingestion and refresh processes.

Engineer reusable production prompts and integrations for generative AI APIs, enterprise services, applications, analytical models, workflow tools, and knowledge repositories.

Develop automated and human evaluations for accuracy, groundedness, safety, relevance, task completion, latency, cost, and usability; monitor quality, adoption, incidents, and business outcomes.

Identify hallucination, prompt injection, tool, retrieval, and operational risks; implement guardrails, fallbacks, authentication, authorization, logging, secrets management, and data controls.

Apply strong software engineering practices, including modular design, source control, code review, automated testing, documentation, release management, observability, and production support.

Partner with R&D, Quality, Regulatory, Data Science,…