Job Specifications
WPP is the creative transformation company. We use the power of creativity to build better futures for our people, planet, clients, and communities.
Working at WPP means being part of a global network of more than 100,000 talented people dedicated to doing extraordinary work for our clients. We operate in over 100 countries, with corporate headquarters in New York, London and Singapore.
WPP is a world leader in marketing services, with deep AI, data and technology capabilities, global presence and unrivalled creative talent. Our clients include many of the biggest companies and advertisers in the world, including approximately 300 of the Fortune Global 500.
Our people are the key to our success. We're committed to fostering a culture of creativity, belonging and continuous learning, attracting and developing the brightest talent, and providing exciting career opportunities that help our people grow.
Why we're hiring:
We are seeking a highly skilled and motivated Agent & Prompt Engineering Subject Matter Expert (SME) to join our Enablement team. In this role, you will be a key driver in helping our B2B clients successfully adopt and leverage the power of AI agents and sophisticated prompt engineering techniques to achieve their business goals. You will be responsible for designing, developing, implementing, and optimizing AI agents across various applications and agentic frameworks. This role requires a blend of technical expertise, linguistic understanding, analytical skills, and exceptional communication abilities. You will play a crucial role in driving user adoption, identifying opportunities for improvement, and establishing best practices for agent and prompt engineering within our organization and for our clients.
What you'll be doing:
Define the goals, capabilities, and functionalities of AI agents for specific client use cases.
Design the agent's architecture, including data input/output, decision-making processes, and interaction mechanisms.
Identify and define tasks that can be automated by AI agents to augment teams on project-based pilots, driving early value realization.
Monitor agent performance and identify areas for improvement, leveraging data-led insights to unlock operational efficiencies.
Develop Agents evaluation dataset and perform Agents testing
Implement mechanisms for agents to learn from data and adapt to changing environments.
Deploy AI agents in a production environment and monitor their performance.
Collaborate with other teams to ensure seamless integration and deployment.
Develop and maintain knowledge bases and ontologies for AI agents.
Define core set of Agent principles & setup config (onboarding & off boarding to drive reusability).
Develop Common Agents (Utilized end to end across all projects) & Mutli-Agents workflows (Complex multi-tasking initiated by Agent orchestration).
Develop and optimize prompts for various AI applications, including text generation, code generation, data analysis, chatbots, and virtual assistants.
Craft prompts to generate different types of text, such as articles, scripts, or social media posts.
Use prompts to analyse data and extract insights.
Design prompts for chatbots and virtual assistants to handle customer inquiries and provide assistance.
Maintain a repository of successful prompts and best practices for future use.
Codify best practices to inform learning & upskilling to drive user proficiency.
Develop Prompt engineering - best practices (Beginner to expert).
Contribute to end-user materials preparation, including playbooks, videos and reference guides.
Identify user pain points and opportunities for continuous improvement to the product backlog.
Collaborate with cross-functional teams, including product development, customer success, and sales, to ensure alignment and coordination of efforts.
Excellent communication skills to collaborate effectively with cross-functional teams.
Continuous Learning & Improvement:
Stay up-to-date with the latest advancements in AI and agent technology.
Improve ways to measure Agent effectiveness to unlock operational efficiencies through data led insights.
What you'll need:
Bachelor's degree in Computer Science, Linguistics, Data Science, or a related field. Master's degree preferred.
Significant of experience in AI, machine learning, or natural language processing.
Proven experience in prompt engineering and AI agent development.
Strong understanding of AI concepts, algorithms, and machine learning techniques.
Experience with programming languages such as Python, Java, or C++.
Familiarity with AI agent frameworks and platforms (e.g., OpenAI Gym, TensorFlow Agents, Rasa).
Experience with data analysis, data mining, and knowledge representation.
Hands-on, self-starter with exceptional organisational skills with an acute attention to detail.
Strong project management skills, with experience leading complex change management initiatives.
Excellent communication and interpersonal skills, with t