Project Role : Custom Software Engineer Project Role Description : Develop custom software solutions to design, code, and enhance components across systems or applications. Use modern frameworks and agile practices to deliver scalable, high-performing solutions tailored to specific business needs. Must have

skills:
Adobe Experience Platform (AEP) Positive to have

skills:
NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As an AEP AI-Native Developer , the requirement is to design, build, and configure Adobe Experience Platform solutions — spanning data ingestion, schema design, segmentation, Real-Time CDP, and journey orchestration — with AI embedded as a core part of the work. Focus primarily on hands-on AEP development and requirement analysis, contributing directly to the delivery of scalable, data-driven customer experience solutions for enterprise clients. Leverage AI coding assistants and LLM APIs daily to accelerate platform configuration, data modelling, query optimization, and integration tasks — while applying engineering judgement to validate every AI-generated output before it reaches production. Roles &

Responsibilities:
• Requirement Analysis & Solution Design: Analyze business and data requirements using AI tools to synthesize briefs, identify data gaps, and draft AEP solution specifications — then validate the output in collaboration with architects and senior stakeholders
• Schema, Data Modelling & Ingestion: Design and implement XDM schemas, dataset configurations, and data ingestion pipelines (batch and streaming) use AI to accelerate schema modelling, identify mapping patterns, and validate data integrity across sources
• Segmentation & Real-Time CDP: Build and configure audience segments, merge policies, and identity graph settings within Real-Time CDP leverage AI to generate segment logic proposals and validate audience definitions against business requirements
• AJO Journey Development: Design and configure customer journeys in Adobe Journey Optimizer — including triggers, conditions, actions,



and message personalization use AI tools to accelerate journey logic drafting and test scenario generation
• API Integration & Query Service: Develop and maintain AEP API integrations and Query Service SQL workloads use AI-assisted code generation and debugging to accelerate integration delivery and optimize query performance
• AI Output Quality & Prompt Engineering: Validate all AI-generated AEP configurations, code, and data models before they reach production develop and contribute AEP-specific prompt engineering patterns — for schema generation, segment queries, journey logic, and API integration — to shared team libraries
• Data Quality & Governance: Implement and maintain data quality rules, consent management configurations, and data governance policies within AEP use AI to identify anomalies, surface data quality issues, and propose remediation
• Monitoring & Troubleshooting: Monitor AEP data pipelines, ingestion jobs, and journey executions apply AI-assisted diagnostics to root-cause failures and performance issues document findings and resolution steps clearly Professional & Technical

Skills:
• AEP Core: Proficiency in Adobe Experience Platform — XDM schema design, dataset management, identity resolution, and Real-Time CDP configuration
• Data Ingestion & Pipelines: Hands-on experience with AEP batch and streaming data ingestion, source connectors, and data flow configuration
• Segmentation & Audiences: Experience building audience segments, merge policies, and identity graph configurations in Real-Time CDP
• Adobe Journey Optimizer (AJO): Working knowledge of AJO journey design, triggers, conditions, message personalization, and campaign configuration
• AEP Query Service:



Proficiency in AEP Query Service — SQL-based data exploration, dataset analysis, and query optimization
• API Development & Integration: Experience with AEP APIs (Profile, Segmentation, Data Ingestion, Flow Service) and RESTful API integration patterns
• AI-Assisted Development: Demonstrated hands-on use of AI coding assistants (GitHub Copilot, Claude) integrated into daily AEP development — with practical examples of AI-driven schema generation, query optimization, or integration acceleration
• LLM API Integration: Experience calling LLM APIs (OpenAI, Anthropic, or similar) in application code, with understanding of token management, latency, and cost trade-offs
• Data Governance & Privacy: Familiarity with AEP data governance frameworks, consent management, and DULE (Data Usage Labelling and Enforcement) policies
• Cloud & DevOps: Familiarity with cloud fundamentals (AWS, Azure, or GCP) and CI/CD pipeline concepts
• Programming Languages: Proficiency in SQL and JavaScript working knowledge of Python a plus
• Experience with AEP Destinations — configuring data export to advertising, analytics, and marketing platforms
• Familiarity with Customer AI and Attribution AI within AEP's Intelligent Services
• Exposure to agentic system concepts — awareness of orchestration frameworks (LangChain, LangGraph) and RAG pipelines, and how AEP data layers connect to AI agent architectures
• Experience with Adobe Analytics integration and data migration to AEP
• Understanding of CDP architecture patterns and enterprise data platform design Additional Information:
• Bachelor's degree in Computer Science, Computer Engineering, Data Engineering, Software Engineering, or a related field
• 4+ years of commercial AEP development experience in production environments
• Demonstrated experience with Adobe Journey Optimizer (AJO) in a delivery context
• Ability to validate, evaluate, and improve AI-generated outputs understanding of AI limitations and responsible use
• A 15-year full-time education background is required

📌 Custom Software Engineer (Pune)
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