Custom Software Engineer

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 Manager (AEM) Sites
Good to have skills : NA
Minimum 12 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
This position is open to a principal architect who brings mastery across AEM platform architecture and enterprise AI systems. The requirement is for a technical authority who defines the AEM and AI strategy that entire programmes are built upon — governing cross-programme agentic content platform architecture, multi-LLM strategy, AI API integration standards, and the engineering culture of the entire AEM and AI practice.
The AI Native AEM Architect (Agentic/Applied) is required to define enterprise Content Intelligence platform architecture, govern LLMOps and AI safety frameworks across programmes, and shape the AEM and AI accelerator portfolio and engineering community.

Roles & Responsibilities:
a. Architecture Ownership: Define, govern, and evolve the end-to-end AEM solution architecture — component libraries, content models, MSM topology, and integration design use AI to accelerate documentation, validate decisions, and model trade-offs
b. AI Development Standards: Establish team-level standards for AI-assisted AEM delivery — prompt libraries, code review workflows for AI-generated output, quality gates, and responsible use guidelines
c. Requirements & Solution Design: Lead senior-level requirement analysis with client technology leadership use AI to synthesize complex requirement sets and generate solution proposals — then validate, refine, and own the recommendation
d. Performance & Integration Architecture: Define architecture for complex AEM integrations and platform performance apply AI-assisted diagnostics to root-cause issues and translate findings into architectural guidance
e. AEMaaCS Architecture: Own AEMaaCS platform architecture — Oak index design, dispatcher strategy, RDE governance, Content Fragment APIs, and Cloud Manager pipeline orchestration across large delivery teams
f. EDS Architecture: Architect EDS and AEM Sites hybrid solutions — custom block standards, Universal Editor integration, Helix/Franklin architecture, and CDN-layer optimization strategy
g. LLM API & Agentic Architecture: Define vendor-agnostic LLM integration patterns with fallback routing and cost governance as standard design practice architect how AEM content APIs and pipelines connect to agentic systems
h. LLMOps at Programme Scale: Own AI observability and governance across the workstream — prompt versioning, eval strategy, safety monitoring, and cost controls across the team's AI toolchain
i. Client-Facing Architecture Leadership: Lead architecture design sessions, solution walkthroughs, and proof-of-concept delivery with client technology and business leadership build trust through transparency about trade-offs and delivery risk
j. AI Impact & Governance Reporting: Own the measurement framework for AEM delivery quality and AI integration ROI present program level findings — accuracy, latency, cost, and business impact — to senior client stakeholders
k. Reusable Patterns & Practice Standards: Shape and publish reusable AEM architecture patterns, AI-accelerated accelerators, and engineering standards that scale across engagements and reduce ramp-up time for future programs

Professional & Technical Skills:
a. AEM Architecture: Deep expertise in AEM Sites solution architecture — component design, content modelling, MSM topology, DAM integration, and multi-site/multi-region delivery
b. AEM Development: Proficiency in HTL (Sightly), Sling Models, OSGi/Felix, and Java — with the ability to personally validate and review complex implementation decisions
c. AEMaaCS: Deep proficiency in AEMaaCS — Oak index management, CTT migration, dispatcher configuration, cloud-native customization constraints, RDE, and Cloud Manager pipeline orchestration across large teams
d. AEM EDS: Proficiency in AEM Edge Delivery Services — custom block authoring, Helix/Franklin architecture, Universal Editor integration, performance optimization, and CDN strategy design
e. AI-Assisted Development Governance: Ability to define and enforce team-level AI development standards using GitHub Copilot and Claude — code review workflows, prompt reusability patterns, and secure coding guidelines for AI-generated code
f. LLM API Architecture: Production experience designing LLM API integration patterns — vendor-agnostic abstraction, multi-provider fallback routing, token governance, and cost management across OpenAI, Anthropic, Vertex AI
g. Agentic & RAG Architecture: Working knowledge of agentic orchestration frameworks (LangGraph, CrewAI, AutoGen) and RAG pipeline design understanding of how AEM content architecture supports AI agent pipelines
h. LLMOps: Proficiency in LLMOps at programme scale — eval harness design, prompt versioning, observability tooling (LangSmith, Braintrust, or equivalent), safety monitoring, and cost governance
i. Cloud & DevOps: Cloud-native maturity: Kubernetes, Docker, microservices, serverless, CI/CD pipelines
j. Programming Languages: Strong Java and JavaScript proficiency in HTL (Sightly) Python
k. Adobe Platform Developers APIs (AEM, Firefly, AEP, AJO, etc)

Additional Information:
a. Bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field
b. 12+ years of commercial AEM development and architecture experience in production environments
c. Minimum 1 year of hands-on experience designing and deploying AI-integrated or agentic solutions in production — demonstrable through specific architectural decisions, not passive exposure
d. Demonstrated experience leading cross-team technical delivery with full architectural accountability
e. A 15-year full-time education background is required

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

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