Why We Work at Dun & Bradstreet
Dun & Bradstreet unlocks the power of data through analytics, creating a better tomorrow. Each day, we are finding new ways to strengthen our award-winning culture and accelerate creativity, innovation and growth. Our 6,000+ global team members are passionate about what we do. We are dedicated to helping clients turn uncertainty into confidence, risk into opportunity and potential into prosperity. Bold and diverse thinkers are always welcome. Come join us! Learn more 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.
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