WPP

5 months ago

Senior Full-Stack Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 12 hours agoStatus: Live

Job Summary

Senior AI Engineer focused on designing and delivering agentic AI-powered automation solutions. You will develop intelligent systems spanning Human2System, System2System, and A2A architectures, integrate with Hero products, work with leading AI frameworks, and contribute to governance, evaluation, and scalable production pipelines across WPP’s Global Automation program.

Location: Chennai

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•AI Solution Development: Design and develop AI and agentic solutions that integrate seamlessly with existing Hero portfolio products or function as standalone intelligent systems.
•Agentic Architecture: Build sophisticated automation architectures including Human2System interactions, System2System integrations, Agent-to-Agent (A2A) communications, and agentic data pipelines.
•Agent Governance: Work closely with the AAI Team Lead and Engineering Lead to refine governance solutions ensuring safe, secure, and compliant agent operations.
•Model Integration: Implement and optimize solutions using Microsoft Copilot Agent Studio, Google Vertex AI, Azure AI Foundry, and n8n frameworks.
•Data & Embeddings: Design and implement RAG (Retrieval-Augmented Generation) pipelines and vector embedding frameworks for production environments.

Key Requirements

•Overall experience: 7-9 years of experience in automation operations, technology development, or software engineering (Python preferred).
•AI/ML Specialization: At least 3 years of dedicated experience specifically with AI/ML systems, agentic frameworks, or intelligent automation technologies.
•Programming Expertise: Expert proficiency in Python or TypeScript, with deep knowledge of AI frameworks including Langchain/Langgraph and FastAPI.
•Production AI Experience: Proven production experience with RAG/Vector embedding frameworks, Model Context Protocol (MCP), and Agent-to-Agent (A2A) architectures.
•Evaluation & Testing: Demonstrated experience designing and maintaining evaluation frameworks for AI system performance and quality assurance.

Experience:7-9 yearsAIAutomationEnterprise technology

Skills:CommunicationProblem-solvingLeadership

Languages:English

Tech Stack:PythonTypeScriptFastAPILangchainLanggraphMicrosoft Copilot Agent StudioGoogle Vertex AIAzure AI FoundryN8nMCPRAGVector embeddingsAPI

Company Brief

WPP

Global marketing and communications services group offering advertising, media investment management, branding, public relations, and digital services to multinational clients across industries.

Industry: Advertising Media Groups

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: London, United Kingdom

Founded: 1971

Website LinkedIn

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WPP