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.
We are seeking a talented and driven Data Scientist/AI Engineer to join our team and help build a variety of Agentic AI solutions. You will work on designing, developing, and deploying Agentic solutions, fine tunes models that power the agents and build data pipelines to feed the angels to power our products and services. This role offers the opportunity to work with cutting-edge technologies and collaborate with cross-functional teams to bring AI innovations to life.
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.
- Benchmark agent performance across tasks and environments; identify bottlenecks and optimize for efficiency and robustness.
Minimum Qualifications
- 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.
- Benchmark agent performance across tasks and environments; identify bottlenecks and optimize for efficiency and robustness.
Preferred Qualifications
- Advanced degree (MS/PhD) in Computer Science, AI, Machine Learning, or related field.
- Experience with multi-agent systems, simulation environments, or robotics.
- Familiarity with cloud platforms (GCP, AWS, Azure) and containerization (Docker, Kubernetes).
- Work experience with graph data and time series as well as working knowledge of Reinforcement Learning algorithms and LLM fine tuning are pluses.
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.
· Learn more about our benefits: http://bit.ly/41Yyc3d.
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