Senior Gen AI Engineer (R-18860)

📋 Description

• • Join Dun & Bradstreet as a Senior Gen AI Engineer and play a pivotal role in shaping the future of data-driven decisioning. In this exciting opportunity, you will be instrumental in designing, building, and operationalizing cutting-edge AI-driven solutions for our global Analytics organization. You will leverage your deep expertise in artificial intelligence and machine learning to solve complex business challenges and unlock new opportunities for our clients worldwide.
• • At Dun & Bradstreet, we are committed to harnessing the power of data to create a better tomorrow. As a global leader in business decisioning data and analytics, we empower companies to grow, manage risk, and innovate. With a legacy spanning over 180 years, we have consistently helped businesses navigate uncertainty and transform it into tangible opportunities. You will be part of a diverse, global team that thrives on creativity, collaboration, and the pursuit of bold ideas.
• • Your primary responsibility will be to architect and implement advanced Generative AI solutions. This includes developing and deploying large language models (LLMs), building sophisticated retrieval-augmented generation (RAG) systems, and creating efficient automation pipelines that integrate seamlessly into our existing infrastructure. You will be at the forefront of innovation, exploring and applying the latest advancements in AI to enhance our product offerings and internal processes.
• • You will work closely with cross-functional teams, including data scientists, software engineers, product managers, and business stakeholders, to understand their needs and translate them into robust AI solutions. This collaborative environment will allow you to contribute to projects that have a significant impact on our business and our clients.
• • A key aspect of this role involves hands-on development using Python and PySpark. You will be responsible for writing clean, efficient, and scalable code to build and deploy AI models and applications. Experience with agentic workflow development is crucial, enabling you to design intelligent agents that can perform complex tasks autonomously and interact with various systems.
• • You will be expected to stay abreast of the rapidly evolving landscape of AI and machine learning, particularly in the domain of Generative AI. This includes researching new techniques, evaluating emerging frameworks, and identifying opportunities to incorporate them into our solutions. Your insights and recommendations will be vital in guiding our AI strategy.
• • Designing and implementing robust data pipelines for training and inference will be a core part of your work. This involves ensuring data quality, optimizing data processing, and managing large datasets efficiently. You will also be responsible for the deployment and monitoring of AI models in production environments, ensuring their performance, reliability, and scalability.
• • You will contribute to the development of best practices and standards for AI development within the organization. This includes code reviews, knowledge sharing sessions, and mentoring junior team members, fostering a culture of continuous learning and improvement.
• • The ideal candidate will possess a strong understanding of the end-to-end machine learning lifecycle, from data exploration and feature engineering to model training, evaluation, and deployment. Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes) will be highly beneficial for deploying and managing scalable AI solutions.
• • You will have the opportunity to work on challenging problems that require creative solutions. Whether it's enhancing our existing analytics platforms, developing new AI-powered features, or improving operational efficiency through automation, your contributions will be highly valued.
• • This role offers a unique chance to be at the cutting edge of AI technology, applying your skills to real-world business problems and making a tangible impact on a global scale. If you are passionate about AI and eager to drive innovation, we encourage you to explore this exciting opportunity at Dun & Bradstreet.
• • You will be responsible for evaluating and integrating third-party AI services and tools where appropriate, ensuring they align with our technical and business objectives. This requires a keen eye for assessing the capabilities and limitations of various AI solutions.
• • Furthermore, you will contribute to the documentation of AI models, processes, and best practices, ensuring knowledge transfer and maintainability of our AI systems.
• • Proactively identify opportunities for AI-driven innovation across different business units, collaborating with stakeholders to define project scope and potential impact.
• • Ensure the ethical and responsible development and deployment of AI solutions, adhering to company policies and industry best practices.
• • Troubleshoot and resolve issues related to AI model performance, data pipelines, and application integration in production environments.
• • Contribute to the continuous improvement of our AI infrastructure and development workflows, seeking efficiencies and adopting new technologies as appropriate.
• • Participate in agile development processes, including sprint planning, daily stand-ups, and retrospectives, ensuring timely delivery of AI solutions.
• • Develop and maintain comprehensive unit and integration tests for all AI-related code and applications.
• • Monitor the performance and impact of deployed AI models, providing regular reports and insights to stakeholders.
• • Collaborate with data governance teams to ensure compliance with data privacy regulations and security standards.
• • Stay informed about emerging trends and research in Generative AI, Natural Language Processing, and related fields, and assess their applicability to Dun & Bradstreet's business objectives.
• • Design and implement A/B testing frameworks for evaluating different AI model versions and approaches.
• • Contribute to the development of a knowledge base for AI best practices and common solutions within the organization.
• • Mentor and guide junior engineers, fostering their growth and development in the field of AI engineering.