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 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As an AEM AI-Native Engineer, requirement is to lead a team of AEM engineers while remaining deeply hands-on. Analyze requirements, propose solutions, help designing architecture, and write production-grade AEM code — while holding accountability for team's delivery outcomes and quality standards.
Set up the AI-native engineering standard for the team and actively model it. From requirement analysis through to deployment and observability set the AI-native engineering standard and actively model it.
Participate in technical design sessions, mentor junior AEM engineers, embed directly with client engineering teams, and build reusable AI-accelerated AEM patterns that scale beyond individual engagements.

Roles & Responsibilities:
a. Requirement Analysis & Solution Design: Lead client requirement sessions use AI to synthesize briefs, surface gaps, and draft technical specifications — then validate the solution proposal
b. Architecture & Component Development: Expected to be an SME and build complex components using Sling Models, OSGi, HTL, and Java use AI to accelerate pattern-based development, with full review of all AI-generated output
c. Testing, Quality & Prompt Engineering: Define the team's testing strategy implement AI-generated test suites and automated quality gates maintain a shared library of AEM-specific prompts for component generation, OSGi config, and code review
d. Integration & Performance: Involve in the AEM integrations with third-party APIs, DAM, and CRM systems diagnose and resolve complex performance issues using AI-assisted observability tooling
e. AEMaaCS Delivery: Cloud Manager pipeline governance, Oak index management, dispatcher configuration, and cloud-native OSGi patterns use AI to generate deployment runbooks and environment checklists
f. EDS: Guide the team on Edge Delivery Services block development and Helix/Franklin authoring leverage AI to accelerate block scaffolding and performance analysis
g. LLM API & LLMOps: Knowledge of LLM APIs Integration with AEM-adjacent application layers manage token limits, latency, and cost trade-offs apply prompt versioning, AI output observability, and cost monitoring across the team's AI toolchain
h. Team Management & Mentoring: Lead and coordinate the AEM team own sprint velocity, quality, and delivery milestones mentor junior engineers on AEM best practices and AI-native habits — model the standard, don't just set it
i. AI Tooling Standards: Define team-level standards for AI-assisted development — prompt libraries, code review workflows for AI-generated code, and quality gates
j. Client Engagement: Lead technical design sessions, architecture walkthroughs, and code-with sessions with client engineering teams build trust through transparency about trade-offs and AI tool limitations

Professional & Technical Skills:
a. AEM Core: Deep proficiency in AEM Sites — component development, content modelling, MSM, DAM integration, and workflow design
b. AEM Development: Hands-on expertise with HTL (Sightly), Sling Models, OSGi/Felix, and Java in production-grade delivery
c. AEMaaCS: Working experience with Cloud Manager CI/CD pipelines, content versioning, and cloud-native OSGi development patterns
d. AEM EDS: Working knowledge of EDS block development, Franklin/Helix authoring, and performance-first web delivery principles
e. AI-Assisted Development: Experience setting team-level AI standards proficient use of GitHub Copilot and Claude for code generation, architecture assistance, test authoring, and AEM documentation
f. Agentic System: Orchestration frameworks (LangGraph, LangChain, CrewAI) and RAG pipelines understanding of how AEM content APIs connect to agent-based architectures
g. Programming Languages: Strong Java and JavaScript proficiency in HTL (Sightly) Python
h. Adobe Platform Developers APIs (AEM, Firefly, AEP, AJO, etc)
i. Cloud & DevOps: Kubernetes, Docker, microservices, CI/CD pipelines
j. Agile: Experience leading Agile teams confident running sprint ceremonies with workstream-level delivery accountability

Additional Information:
a. Bachelor s degree in computer science, Computer Engineering, Software Engineering, or a related field
b. 5+ years of AEM development experience in production environments
c. Minimum 1 year of hands-on AI-assisted development in a production AEM delivery context — demonstrable through specific examples, not passive exposure
d. Demonstrated team lead or senior individual contributor experience with delivery accountability alongside hands-on technical contribution
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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