Technical Skills:

• Direct experience building or contributing to a custom Customer Data Platform (CDP) or a similar customer-centric data system.

• Deep GCP Expertise: Hands-on experience with key GCP data services: BigQuery, BigTable, Vertex AI, Dataflow, Pub/Sub, Composer (Airflow), Cloud Functions, Cloud schedular and GKE.
  

  • Adobe RTCDP (AEP) developer and any other CDP platforms experience e.g., Lytics CDP platform developer, or/and Segment CDP platform developer, or/and Tealium CDP platform developer, or/and Salesforce CDP platform developer, or/and Custom CDP developer on any cloudare development and familiarity with ETL tools and data visualization platforms will be advantageous. Strong analytical skills and the ability to communicate complex data insights in simple terms are essential for success in this role. Bachelor’s degree in Computer Science, Information Technology, or a related field. Experience with SQL, NoSQL databases, and customer data platform (CDP) technologies. Excellent problem-solving skills and ability to work in a fast-paced environment. Strong knowledge of data privacy regulations and best practices. Proven ability to lead projects and collaborate with diverse teams.

  • Adobe Target and/or Optimizely or any personalization or A/B testing tool

  • Adobe Marketing Cloud - Adobe Workfront, Adobe Experience Manager (AEM), DAM

  • Experience on debuggers like Adobe Launch debugger, Omnibug, Charles, Browser stack, etc.

  • Experience working and designing Agentic AI systems for complex reasoning and multi-step task.

  • Advance prompt engineering (e.g., Chain-of-Thought, ReAct) to optimize LLM reasoning.

  • Experience on using Agent Development Kit(Adk)

  • Experience working with Multimodal LLM’s. Preferably Gemini.

  • Experience working on Vertex AI Rag engine and GCP datastores.

  • Experience using GCP Evaluation and Grounding SDK.

RTCDP (specific skills)

• At least 2+ years of relevant work experience of implementing CDP solutions with deep understanding of identity resolution methods with minimum 1 year in Adobe RTCDP

• At least 2+ years of relevant work experience in marketing, consulting, or analytics

• At least 2+ years of experience working in an agency environment

• At least 2 years of experience working as Subject matter expert in Adobe Marketing Cloud Stack

• Experience with A/B testing tools like Adobe Target is a plus.

• Experience with Campaign Management tools like Adobe Journey Optimizer or/and Adobe Campaign is a plus.

• Experience with Adobe Marketing Cloud tools like Adobe Workfront, Adobe Experience Manager (AEM), DAM is a plus

• Experience in Postman APIs is a plus

• Strong hands-on with advanced JavaScript and jQuery. Able to develop custom tags/scripts using tag managers
  
  

  Agentic AI (specific skills)

  • 2+ years of hands-on experience in software engineering with a data focus, or AI/ML engineering.

  • At least 2 years of demonstrable experience building and managing data/AI solutions on Google Cloud Platform (GCP).

  • Demonstrable experience building and deploying agentic AI systems, leveraging LLMs for complex decision-making.

  • Hands-on experience with Retrieval Augmented Generation (RAG) pipelines and integrating external knowledge sources for LLMs.

  • Proven ability to apply advanced prompting techniques (e.g., Chain-of-Thought, Few-Shot) to guide and enhance LLM reasoning and output quality.

  • Experience working with large language models (LLMs) with a focus on their reasoning capabilities.

  • Hands-on experience working with Google Gemini models and their APIs/SDKs is highly preferred.

  • Experience with multimodal AI concepts is a significant advantage.

  • In-depth, hands-on expertise with core GCP data and AI services, including Vertex AI (for LLM integration, prompt engineering, RAG pipeline development).

  • Experience with Vertex AI RAG Engine and GCP datastore.