Data Scientist - AI Engineer II (R-18581) jobs in United States
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Dun & Bradstreet · 3 days ago

Data Scientist - AI Engineer II (R-18581)

Dun & Bradstreet is a company that unlocks the power of data through analytics, creating a better tomorrow. The AI Engineer II will be responsible for designing and deploying agentic AI systems that enhance product capabilities and enable intelligent automation, focusing on building modular, scalable agents using both open-source and proprietary large language models.

B2BEnterprise SoftwareSupply Chain Management
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H1B Sponsor Likelynote

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

Qualification

PythonAI systems designLarge language modelsCloud platformsContainerizationAgent orchestration frameworksReinforcement LearningGraph dataTime seriesMLOps frameworksCI/CD pipelinesFluency in EnglishProblem solvingContinuous growth mindset

Required

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
Bachelors - Required

Preferred

Advanced Degree - Preferred

Benefits

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.

Company

Dun & Bradstreet

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Dun & Bradstreet offers business intelligence and data analytics solutions to support risk management, compliance, and growth strategies.

H1B Sponsorship

Dun & Bradstreet has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (19)
2024 (18)
2023 (22)
2022 (33)
2021 (35)
2020 (43)

Funding

Current Stage
Public Company
Total Funding
$375M
Key Investors
Black Knight
2025-03-24Acquired
2020-07-01IPO
2018-11-19Private Equity· $375M

Leadership Team

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Stephen Tulenko
Chief Executive Officer
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Michael Manos
Chief Technology Officer
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Company data provided by crunchbase