AI Engineer – Marketing Technology & Agentic AI - Senior Associate
PwC (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 25–40 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 and AI agents for marketing technology use cases, collaborating with platform specialists and product teams.
- Engineer and maintain agentic workflows and integrations with enterprise marketing technology platforms (e.g., Adobe, Salesforce) including APIs, data models, and secure event-driven connectivity.
- Own end-to-end feature delivery from prototype to production, participate in architectural decisions, and mentor other engineers in an agile cross-functional environment.
Minimum Requirements
- Bachelor’s or master’s degree in computer science, software engineering, or related field, or equivalent experience.
- Minimum 5 years of software engineering experience with strong Python skills and full-stack development experience (Node.js, React.js).
- At least 2 years of hands-on experience building and operating LLM applications in production, including RAG, agent workflows, and deployment.
- Experience with integrating AI applications to enterprise systems via REST APIs, authentication, and working knowledge of cloud platforms (Azure, AWS, Google Cloud).
Ideal Candidate Profile
- Experienced with applying AI and LLM technologies to marketing technology ecosystems, familiar with MarTech data models and customer marketing workflows.
- Proven ability to deliver secure, scalable AI integrations and intelligent workflows within enterprise marketing platforms such as Adobe or Salesforce.
- Comfortable owning full feature lifecycles and collaborating cross-functionally including with AI, MarTech, marketing operations, and QA teams.