AI Engineer – Marketing Technology & Agentic AI - Senior Associate
PwC (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 20–35 LPA
Posted 16h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, deploy, and operate production-grade LLM applications, AI agents, and agentic workflows for customer marketing use cases integrated with enterprise marketing technology platforms.
- Own features end-to-end from prototype to production, contribute to architectural decisions, and mentor other engineers within an agile cross-functional squad.
- Develop APIs, connectors, full-stack user experiences, and ensure security, privacy controls, and operational optimization in AI workflows involving customer data and marketing platforms.
Minimum Requirements
- Bachelor's or master's degree in computer science, software engineering or related field, or equivalent practical experience.
- At least 5 years of software engineering experience with strong Python, APIs, system design, and full-stack development skills.
- Minimum 2 years of experience building and operating production LLM applications with hands-on knowledge of RAG, agent workflows, tool use, and deployment.
- Experience with Model Context Protocol (MCP), AI service platforms (Azure OpenAI, Google Vertex AI), enterprise system integrations (REST APIs, OAuth), and at least one major cloud platform deployment.
Ideal Candidate Profile
- Experienced AI/software engineer with a focus on marketing technology integrations who can manage end-to-end ownership of AI/MarTech features and workflows.
- Proficient in applying domain knowledge of customer marketing workflows, campaign management, and audience insights for AI solutions in enterprise environments.
- Pragmatic and engineering-first mindset capable of balancing AI innovation with operational reliability, security, business value, and collaboration across teams.