Senior Generative AI Engineer

Who we are

We are an organisation that exists to drive progress. That's the “red thread” that connects everyone at The Economist Group (TEG). Our businesses share a devotion to innovation, independence and rigour in their fields of expertise. We empower people to understand and tackle the critical challenges and changes facing the world. Our analytical rigour, global expertise and evidence-based insights enable individuals and organisations to make sense of these shifts and chart a course through them.

We deliver analysis and insights in many formats to subscribers and clients in 170 countries through our four businesses, The Economist, Economist Impact, Economist Intelligence and Economist Education, which uphold our global reputation for excellence and integrity. 

The Role

We are looking for a Senior Generative AI (GenAI) Engineer to join our Economist Group engineering team. Your primary focus will be to design, develop, ship, maintain and oversee the overall architecture of our Economist.com data platforms - with a focus on systems related to our customer facing products. The initial focus will be around implementing appropriate data infrastructure required to enable predictive analytics, ML algorithms, and Generative AI applications, and in conjunction with the Head of AI and Data Engineering support the organisation to implement their vision. You’ll also work with individuals from our corporate data team (responsible for reporting, analytics and insights), as well as work collaboratively with data scientists and analysts in other teams across the organisation. 

The role will suit either an existing senior or a mid-level GenAI Engineer, or even an NLP / ML Engineer or Data Scientist ready for their next challenge, but with at least some experience leading or mentoring a high performing team. You should enjoy working with autonomy in a creative and entrepreneurial environment, and have a strong commitment to producing high quality solutions. We offer flexible working and have recently shifted to a remote first working policy with a minimum expectation of coming to the office two days a month, however you can come in more often if you wish to.

How you will contribute in this role:

• Architecting, building and maintaining GenAI processing pipelines / workflows in Python via technologies such as serverless functions, Airflow, MLflow, SageMaker, Bedrock, or other
• Working with Data and NLP Engineers and Data Scientists to automate experiments that bring ML and NLP research ideas to production
• Fine Tuning and consuming Large Language Models (LLM) directly or via third party Generative AI API services
• Setting up Retrieval Augmented Generation (RAG) architectures, prompt engineering (ICL), and Reinforcement Learning from Human Feedback (RLHF) processes
• Implement MLOps and related DevOps focused on LLMs deployed in cloud-native environments
• Support, optimise and transition our current processes to ensure well architected implementations and best practices
• Work in an agile environment within a collaborative product team
• Collaborate across departments and work closely with business stakeholders as well as other engineering teams, in refining data requirements for various initiatives and data consumption needs
• Educate and train colleagues such as data scientists, analysts, and stakeholders in GenAI pipelining and data processing techniques, which make it easier for them to integrate and consume the data they need for their own use cases
• Participate in ensuring compliance and governance during model use, to ensure that the users consume the resources provisioned to them responsibly through data governance and compliance initiatives
• Become an GenAI evangelist, and promote the available capabilities and expertise to business unit leaders, and educate them in leveraging these

What we’re looking for:

• Professional experience with NLP (as well as some experience in GenAI), used in large scale digital applications
• Extensive experience with programming in Python and Jupyter notebooks
• Professional experience in designing, building and managing bespoke GenAI solutions in cloud environments, utilising platforms such as Amazon Bedrock
• Experience in building NLP solutions while consuming LLMs, either directly from third party APIs or directly from repositories such as Hugging Face
• Strong, fundamental technical expertise in cloud-native technologies, such as AWS Lambda, API Gateway, SageMaker Studio, Amazon ECR, CDK, or equivalent
• Experience in leading / mentoring NLP / ML / GenAI engineering teams
• Experience in working in teams with data scientists and data engineers, for building automated pipelines for model building, deployment and monitoring
• An advanced degree in computer science, information science, data science, linguistics, or a related quantitative field or equivalent work experience
• Strong verbal and written communication skills and ability to work well with a wide range of stakeholders
• Strong ownership, scrappy and biassed for action

#LI-Hybrid 

What we offer

Benefits
We offer excellent benefits including an incentive programme, generous annual and parental leave policies, volunteering days and well-being support throughout the year, as well as free access to all Economist content. Country specific benefits are also offered.

Our Values
Our values are a collective set of beliefs and behaviours that strengthen The Economist Group's purpose and demonstrate where we want to be as an organisation. They reflect on our mission to pursue progress for individuals, organisations and the world.

Independence
We are not bound to any party or interest and encourage exploration and free-thinking. We champion freedom, both within our organisation and around the world.

Integrity
We are bold in our efforts to uncover the truth and stand up for what we believe in. We inspire trust through our rigour, fact-checking and transparency.

Excellence
We aspire to the highest standards in all we do. We are ambitious and inquisitive in our pursuit of continuous progress and innovation.

Inclusivity
We value diversity in thought and background and encourage healthy debate with a breadth of perspectives. We treat our colleagues and customers fairly and respectfully.

Openness
We foster a collaborative and empathetic culture conducive to the interests, wit and initiative of our colleagues. New ideas are our lifeblood.

The Economist Group values diversity. We are committed to equal opportunities and creating an inclusive environment for all our colleagues and potential colleagues regardless of ethnic origin, national origin, gender, gender identity, race, colour, religious beliefs, disability, sexual orientation, age, marital status or any other status.