Data Scientist - AI Engineer II (R-18581)
Eyeota
Software Engineering, Data Science
Florham Park, NJ, USA
Posted on Jan 8, 2026
Shape the Future with Dun & Bradstreet
At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.
The AI Engineer II will be responsible for designing and deploying agentic AI systems that enhance product capabilities and enable intelligent automation.
This role focuses on building modular, scalable agents using both open-source and proprietary large language models.
The AI Engineer II will contribute to the development of reusable components, data pipelines, and performance optimization strategies that support advanced agent behaviors across diverse environments
Key Responsibilities:
- Design and implement AI agents using Python, integrating both open-source frameworks (e.g., LangChain, VLLM, Ollama) and proprietary LLMs (Open AI, VertexAI, etc).
- Develop modular, scalable, and reusable components for agent architecture including memory, planning, tool use, and multi-modal capabilities.
- Collaborate with product teams to prototype and evaluate novel agent behaviors and learning strategies.
- Support benchmarking of agent performance across tasks and environments.
- Assist in identifying bottlenecks and proposing optimizations.
- Build and maintain scalable data pipelines to support agent training, evaluation, and deployment.
- Implement observability and monitoring frameworks to ensure agent reliability and compliance.
- Integrate vector databases and embedding techniques to support agent memory and retrieval.
- Maintain CI/CD pipelines and MLOps frameworks to enable continuous delivery of AI capabilities.
- Assist fine-tuning and prompt engineering workflows to optimize agent performance across domains.
- Follow data governance and security best practices to ensure agent compliance with organizational standards.
Essential Skills and/or Certifications
- Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field required.
- Experience with agent orchestration frameworks, simulation environments, or robotics.
- Experience with Python Multiprocessing
- Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes).
- Strong work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses.
- Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
- Where applicable, fluency in English and languages relevant to the working market.
Education
- Bachelors - Required
- Advanced Degree - Preferred
Benefits We Offer
· Generous paid time off in your first year, increasing with tenure.
· Up to 16 weeks 100% paid parental leave after one year of employment.
· Paid sick time to care for yourself or family members.
· Education assistance and extensive training resources.
· Do Good Program: Paid volunteer days & donation matching.
· Competitive 401k with company matching.
· Health & wellness benefits, including discounted Wellhub membership rates.
· Medical, dental & vision insurance for you, spouse/partner & dependents.
All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.
Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.
Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.
Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.
