AEP / AJO / CJA Developer

Infosys; Bengaluru; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Infosys is seeking an experienced architectural leader to design and deliver enterprise Adobe Experience Platform (AEP) and Adobe Journey Optimizer (AJO) solutions. You will define XDM standards, implement data governance, and lead cross‑functional teams across data engineering, marketing, and security.

You will architect scalable ingestion pipelines, identity services, and activation frameworks, ensuring compliant, high‑quality data operations and real‑time capabilities for complex customer

Qualifications

• Adobe Certified Expert/Professional certifications in AEP/Architecture/RT CDP/Journey Optimizer
• Experience with Adobe Experience Cloud products across marketing and analytics
• Experience in data engineering, ETL design, and cloud-based data platforms

Responsibilities

• Lead architecture reviews and solution design for AEP and AJO implementations.
• Define and govern XDM standards and data modeling best practices.
• Architect scalable data ingestion frameworks and real-time data pipelines.
• Drive audience management, activation, and personalization initiatives.
• Collaborate with governance, security, and marketing teams across the enterprise.
• Mentor architects and delivery teams; oversee deployments and QA.

Skills

AEP Architecture

Data Engineering

Cloud Platforms

CI/CD/DevOps

Python

Enterprise Architecture

Stakeholder Mgmt

Tools

Adobe Experience Platform

Adobe Journey Optimizer

Real-Time CDP

Azure

AWS

GCP

Job description

Role & responsibilities

Adobe Experience Platform (AEP) Architecture & Leadership

• Lead the architecture, design, and implementation of Adobe Experience Platform (AEP) solutions aligned with enterprise customer data and marketing objectives.
• Define and govern XDM (Experience Data Model) standards, including schemas, classes, field groups, identity namespaces, and data modeling best practices.
• Architect scalable data ingestion frameworks using streaming and batch pipelines, source connectors, Data Collection, Web SDK (Alloy), and Edge Network capabilities.
• Drive enterprise-wide customer profile strategies, including Identity Service configuration, identity stitching, merge policies, and Real-Time CDP profile management.
• Design and oversee datasets, dataflows, Data Prep transformations, and data quality frameworks to ensure reliable and compliant data operations.
• Lead audience management strategies, including segmentation design, audience governance, lifecycle management, and activation planning.
• Architect and optimize Query Service, Data Distiller solutions, and advanced analytical use cases leveraging SQL and platform data assets.
• Design and implement audience activation frameworks across multiple destination platforms, advertising ecosystems, and customer engagement channels.
• Establish and enforce data governance, consent management, privacy policies, DULE controls, and regulatory compliance standards.
• Define integration patterns and API-led architectures leveraging AEP services including Flow Service, Catalog Service, Real-Time Profile, Segmentation, and Privacy APIs.
• Provide technical oversight for platform monitoring, performance optimization, issue resolution, and operational excellence.

Adobe Journey Optimizer (AJO) Solution Architecture

• Architect and lead the implementation of customer engagement and orchestration solutions using Adobe Journey Optimizer.
• Design enterprise-scale real‑time and batch‑triggered journeys, cross‑channel campaigns, and customer lifecycle programs.
• Define architecture standards for email, push, SMS, in‑app messaging, direct mail, and emerging customer engagement channels.
• Lead the design of dynamic personalization strategies leveraging profile attributes, contextual data, decisioning frameworks, and real‑time customer signals.
• Architect event‑driven customer experiences integrating AJO with AEP audiences, external systems, APIs, and business applications.
• Drive offer decisioning, experimentation, optimization, and AI‑powered personalization initiatives.
• Partner with marketing, product, and business stakeholders to transform customer engagement strategies into scalable technical solutions.
• Establish governance, testing, QA, deployment, and release management processes for journey orchestration programs.
• Monitor journey performance, deliverability, customer experience effectiveness, and platform adoption to drive continuous improvements.

Technical Leadership & Enterprise Architecture

• Act as the Adobe Experience Platform and Journey Optimizer subject matter expert for architecture reviews, solution design, and strategic initiatives.
• Lead technical discovery sessions, solution workshops, and architecture assessments with business and technology stakeholders.
• Create high‑level and low‑level solution designs, architecture diagrams, integration patterns, data flows, and technical roadmaps.
• Collaborate with Enterprise Architecture, Data Engineering, Analytics, Security, Privacy, and Marketing teams to drive platform alignment.
• Establish platform standards, best practices, governance frameworks, and reusable solution accelerators.
• Mentor and guide architects, developers, and implementation teams while fostering technical excellence and innovation.
• Drive effort estimation, technical planning, risk management, and solution delivery across multiple workstreams.
• Support proposal development, opportunity assessments, architecture reviews, and client‑facing consultations where applicable.

Preferred candidate profile

• Adobe Certified Expert/Professional certifications in:
• Adobe Experience Platform Developer
• Adobe Experience Platform Architect
• Adobe Real‑Time CDP
• Adobe Journey Optimizer
• Experience with broader Adobe Experience Cloud products:
• Adobe Analytics
• Customer Journey Analytics (CJA)
• Adobe Target
• Adobe Campaign
• Experience designing and implementing offer decisioning, personalization engines, and customer decision hubs.
• Strong background in Data Engineering, Data Architecture, ETL design, and cloud‑based data platforms.
• Experience with cloud ecosystems such as Azure, AWS, or Google Cloud Platform.
• Exposure to CI/CD pipelines, DevOps practices, Git, Infrastructure as Code, and automation frameworks.
• Hands‑on experience with Python, automation scripting, and operational tooling.
• Prior consulting, solution architecture, or enterprise MarTech transformation experience.
• Experience managing multi‑vendor integrations and large‑scale enterprise implementations.