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, copilots and AI agents integrated with enterprise marketing technology platforms like Adobe and Salesforce.
- Engineer multi-step agentic workflows for marketing use cases such as campaign brief intake, content discovery, audience insights and journey recommendations with human-in-the-loop controls.
- Own features end-to-end from prototype to production, contribute to architectural decisions, and mentor other engineers within agile cross-functional teams.
Minimum Requirements
- Bachelor’s or Master’s degree in Computer Science, Software Engineering or related field, or equivalent experience.
- Minimum 5 years software engineering experience with strong Python skills and full-stack development (Node.js, React.js).
- At least 2 years of hands-on experience building and operating LLM applications in production, including RAG pipelines and agent workflows.
- Experience integrating AI applications with enterprise systems through REST APIs, OAuth/authentication, and cloud platforms (Azure, AWS, or Google Cloud).
Ideal Candidate Profile
- Experienced AI/Software engineer with strong engineering-first mindset, used to owning AI features end-to-end and working across AI and marketing technology teams.
- Familiarity with marketing technology ecosystems, customer data models, and marketing operations workflows, ideally with prior integrations involving Adobe or Salesforce products.
- Skilled at balancing technical quality, security, business value and operational cost in deploying AI solutions at scale, with capacity to mentor junior engineers.