Custom Software Engineer
About the job
- At least 5 years of AEM development experience in production environments.
- At least 1 year of hands-on AI-assisted development in a production AEM delivery context, demonstrated through specific examples.
- A bachelor's degree in Computer Science, Computer Engineering, Software Engineering, or a related field.
- A 15-year full-time education background.
- Deep proficiency in Adobe Experience Manager Sites, including component development, content modelling, MSM, DAM integration, and workflow design.
- Hands-on expertise with HTL (Sightly), Sling Models, OSGi/Felix, and Java in production-grade delivery.
- Experience with Cloud Manager CI/CD pipelines, content versioning, and cloud-native OSGi development patterns.
- Working knowledge of Edge Delivery Services block development, Franklin/Helix authoring, and performance-first web delivery principles.
- Experience setting team-level AI standards and proficient use of GitHub Copilot and Claude for code generation, architecture assistance, test authoring, and AEM documentation.
- Knowledge of orchestration frameworks including LangGraph, LangChain, and CrewAI, RAG pipelines, and AEM content API connections to agent-based architectures.
- Strong proficiency in Java, JavaScript, HTL (Sightly), and Python.
- Knowledge of Adobe platform developer APIs, including AEM, Firefly, AEP, and AJO.
- Experience with Kubernetes, Docker, microservices, and CI/CD pipelines.
- Experience leading Agile teams and running sprint ceremonies with workstream-level delivery accountability.
- Demonstrated team lead or senior individual contributor experience with delivery accountability alongside hands-on technical contribution.
- Lead client requirement sessions, use AI to synthesize briefs, identify gaps, draft technical specifications, and validate solution proposals.
- Lead architecture and component development as an AEM subject matter expert, building complex components with Sling Models, OSGi, HTL, and Java while reviewing AI-generated output.
- Define the team's testing strategy, implement AI-generated test suites and automated quality gates, and maintain a shared library of AEM-specific prompts.
- Develop AEM integrations with third-party APIs, DAM, and CRM systems, and diagnose and resolve complex performance issues using AI-assisted observability tooling.
- Govern Cloud Manager pipelines, manage Oak indexes and dispatcher configuration, and apply cloud-native OSGi patterns.
- Guide Edge Delivery Services block development and Helix/Franklin authoring, using AI to accelerate block scaffolding and performance analysis.
- Integrate LLM APIs with AEM-adjacent application layers, manage token limits, latency, and cost trade-offs, and apply prompt versioning, AI-output observability, and cost monitoring.
- Lead and coordinate the AEM team, own sprint velocity, quality, and delivery milestones, and mentor junior engineers on AEM and AI-native practices.
- Define team-level standards for AI-assisted development, including prompt libraries, AI-generated code review workflows, and quality gates.
- Lead technical design sessions, architecture walkthroughs, and code-with sessions with client engineering teams, communicating technical trade-offs and AI tool limitations.
- Develop custom software solutions by designing, coding, and enhancing components across systems and applications using modern frameworks and agile practices.
About the company
Accenture advises large businesses and public agencies on strategy, builds their technology systems and runs ongoing operations. Its teams connect business planning with implementation, covering areas such as cloud migration, cybersecurity and customer experience. Consultants work with clients to redesign processes, while engineers integrate software from technology partners and maintain the resulting systems for multinational organizations. Clients pay for project work or continuing services, including application support and business processes such as finance and customer service. Accenture was founded in 1989 and has its headquarters in Dublin, Ireland.
Company Size
10,001+
Company Stage
IPO
Headquarters
Dublin, Ireland
Founded
1989
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Simplify's Take
What believers are saying
- Business demand grew: October 2026 results showed $74.2 billion annual revenue, up 5% in local currency.
- Eligible US employees buy discounted stock: Accenture's purchase plan sells shares at 15% below market price.
- Client relationships run deep: Accenture has worked with 195 of its top 200 customers for more than ten years.
What critics are saying
- Bookings are not guaranteed revenue: most Accenture contracts let clients cancel quickly with little or no penalty.
- Promotions require AI adoption: Accenture's CEO said in March 2026 that employees must use its tools effectively.
- Federal hiring practices proved costly: Accenture settled discrimination allegations for $25 million in September 2026, without a liability finding.
What makes Accenture unique
- Its AI platform switches models: AI Refinery selects among prebuilt models according to cost, performance and other requirements.
- Accenture owns specialist Microsoft expertise: it cofounded the Microsoft-focused Avanade consultancy with the software maker.
- Consulting includes creative agencies: Accenture Song owns businesses spanning advertising, digital product design and customer engagement.
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Benefits
Health Insurance
Professional Development Budget
401(k) Retirement Plan
401(k) Company Match
Company News
Accenture (NYSE: ACN) is betting on enterprise AI as its main growth engine. At its Investor and Analyst Day, the company targeted at least mid-single-digit constant-currency revenue growth in fiscal 2027 and 2028, rising to mid- to high-single-digit growth from fiscal 2029. Chief executive officer Julie Sweet said AI will create new demand that exceeds work lost to automation. The company has grown its AI and data workforce from 40,000 to nearly 110,000. Accenture plans to return $9.5 billion to shareholders in fiscal 2027 and spend about $5 billion on acquisitions. It expects annual operating-margin growth of 10 to 30 basis points. Its network of specialised businesses, now 6% of revenue, could double by fiscal 2029. Fiscal 2026 revenue was $74.2 billion, up 5% in local currency.
Accenture shares rose 10.4% after the company reported higher sales and earnings for its fourth quarter and full year in early October 2026. It confirmed fiscal 2027 guidance, raised its quarterly dividend to $1.71 per share, and completed a long-running share repurchase program. The company also expanded its AI alliances with Dell and Workday and acquired Sagacity. It aims to embed agentic AI into client functions such as HR, finance, and customer engagement. Accenture's narrative projects $86.3 billion in revenue and $10.3 billion in earnings by 2029, up from $8.4 billion today. Pricing pressure and slower discretionary spending remain the main risks.
Accenture will hold an Investor Day on October 14, where it is expected to detail its long-term strategy, AI monetisation plans, growth guidance, and margin expansion goals. The event follows a rebound in its shares after fears that AI would erode traditional consulting work. The stock hit a low of $118.15 in June, down from a January high of $291.09. It has since gained nearly 77%, helped by fourth-quarter results on October 1 and an expanded collaboration with Dell Technologies. Fourth-quarter revenue rose 6% to $18.7 billion, and new bookings reached $22.2 billion. Accenture expects fiscal 2027 revenue growth of 3% to 6% in local currency. It raised its quarterly dividend by 5% to $1.71 per share, payable November 13, 2026. Its market capitalisation is about $139.6 billion.
Accenture has acquired Sagacity, a London-based data and customer intelligence firm, to strengthen Accenture Song's AI-powered customer services. The deal brings more than 140 professionals to Accenture Song's UK and Ireland operations. Terms were not disclosed. Founded in 2005 by Anita Dougall, Malka Townshend, and Harry Dougall, Sagacity offers data assets, AI-enabled technology, and customer intelligence expertise. Accenture says clients want to connect data, AI, and operations into unified programmes that deliver measurable results. The move targets industries with large customer bases, such as utilities, retail, banking, and telecommunications. "Sagacity's deep expertise and outcome-focused approach will enhance our ability to help clients turn insight into action," said Sohel Aziz, senior managing director of Accenture Song, UK and Ireland.
TM Forum has launched a multi-year Trustworthy AI programme with Accenture to help telecoms deploy autonomous operations with verifiable trust standards. The initiative will deliver the industry's first Trustworthy AI Governance Certification, providing a benchmark for trusted AI deployment. Recent TM Forum research found that whilst 72% of communications service providers believe their AI capabilities are trustworthy, only 14% can verify their claims. The programme aims to transform AI trust from aspiration into measurable operational capability. The certification will help organisations assess governance maturity, workforce readiness, and operational accountability needed to scale AI autonomously. It will operate through TM Forum's AI-Native Collaboration Studios, where telecoms operators, vendors, and partners will contribute real-world use cases to shape the framework.