Bengaluru, Karnataka, India
Onsite
Industry/Sector
Not ApplicableSpecialism
CustomerManagement Level
Senior AssociateJob Description & Summary
Join PwC Acceleration Center India and collaborate with global teams and clients to build production-grade AI solutions that transform customer and marketing operations. You will partner with marketing technology specialists, product owners and engineering teams to apply generative AI and agentic workflows to real business challenges.
As a Senior AI Engineer – Marketing Technology & Agentic AI, you will design, build, evaluate, deploy and operate LLM applications and AI agents that integrate with enterprise marketing technology ecosystems. These may include platforms from Adobe, Salesforce, or other marketing technology vendors across customer data, marketing automation, journeys, content and campaign management. You are first and foremost an AI/software engineer; deep configuration expertise in any particular MarTech product is not expected. You will partner with platform specialists to engineer secure, scalable integrations and intelligent workflows.
This is a hands-on role. At Senior Associate level, you will own features from prototype to production, contribute to architectural decisions, work in an agile cross-functional squad and mentor other engineers.
· Design, build, deploy and operate production-grade LLM applications, copilots and AI agents for customer marketing use cases, from prototype through live service.
· Engineer agentic workflows for campaign brief intake, content discovery and reuse, marketing operations, audience insights, journey recommendations and workflow tracking, with appropriate human review before consequential actions.
· Develop RAG pipelines with parsing, chunking, embeddings, retrieval, re-ranking and grounded responses over marketing briefs, content repositories, campaign assets, product documentation and enterprise knowledge.
· Build multi-step tool-using agent workflows and orchestration with frameworks such as LangGraph, LangChain or Google ADK; implement robust state management, retries, error handling and audit trails.
· Develop APIs, connectors and event-driven integrations with enterprise marketing technology platforms, including solutions from Adobe (RT-CDP, AEM, Marketo, AJO, Workfront) & Salesforce; collaborate with platform specialists on APIs, data models, permissions, workflows and business rules.
· Build full-stack user experiences and supporting services in Python, Node.js or React.js so marketers can inspect recommendations, review generated outputs, approve actions and track outcomes.
· Apply customer-data and marketing-context awareness: identity, consent and preferences, CRM and audience/segment definitions, campaign metadata, journey events, content metadata and activation constraints.
· Embed privacy, access controls, guardrails, prompt-injection defenses, PII minimization and human-in-the-loop controls into every AI workflow, especially those accessing customer data or initiating platform changes.
· Monitor and optimize quality, reliability, latency, token consumption and cost; participate in design reviews and mentor engineers across AI and MarTech teams.
· Bachelor’s or master’s degree in computer science, software engineering or a related field, or equivalent practical experience.
· At least 5 years of software engineering experience with strong Python skills, APIs, system design and practical full-stack development (e.g., Node.js and React.js).
· At least 2 years building and operating LLM applications in production, with hands-on RAG, agent workflows, tool use, evaluation and deployment.
· Hands-on experience with Model Context Protocol (MCP), including exposing or consuming tools and resources through MCP servers and integrating them securely into LLM-powered agent workflows.
· Experience integrating AI applications with enterprise systems through REST APIs, OAuth/authentication, webhooks, data pipelines or similar integration patterns.
· Experience with Azure OpenAI / Azure AI Foundry, Google Vertex AI / Gemini or other managed AI services.
· Experience with relational or NoSQL data stores, vector search and deployment on at least one major cloud platform (Azure, AWS or Google Cloud).
· Working understanding of customer marketing workflows or adjacent enterprise domains (e.g., campaigns, audience segmentation, customer journeys, content operations, marketing automation); ability to learn MarTech data models with domain experts.
· Strong communication and collaborative problem-solving skills, with the ability to work alongside marketing platform practitioners and explain AI design choices to non-AI stakeholders.
· Hands-on experience integrating applications or AI solutions with marketing technology products from vendors such as Adobe (RT-CDP, AEM, Marketo, AJO, Workfront) or Salesforce.
· Delivered AI use cases in marketing, customer experience or digital operations, such as campaign brief copilots, content intelligence, audience insights, journey optimization or workflow automation.
· Understanding of MarTech integration patterns and concepts such customer-data schemas, customer profiles, consent and identity, audience activation, marketing events, campaign APIs, content repositories or journey orchestration.
· Experience with Ragas, DeepEval, LangSmith, promptfoo or equivalent evaluation and observability tooling.
· Experience delivering solutions in financial services, insurance or other regulated environments.
· Engineering-first mindset paired with curiosity about how marketers plan, create, activate, measure and optimize customer experiences.
· Pragmatic judgment about where AI adds value, when deterministic automation is sufficient, and where human approval is required.
· Comfort taking ownership of end-to-end features and collaborating across AI engineering, MarTech architecture, marketing operations and quality assurance.
· Ability to balance solution quality, delivery speed, security, business value and ongoing operating cost.
Not specified.
Travel Requirements
Not SpecifiedJob Posting End Date