A

Accenture

Advises businesses and runs their technology

Business Architect

Full-Time
No salary listed
Expert
Hyderabad, Telangana, India
In Person
Software EngineeringBackend Engineering, Full-Stack Engineering

About the job

Requirements
  • A minimum of 12 years of experience is required.
  • A minimum of 15 years of full-time education is required.
  • Experience with Microsoft Dynamics 365 Technical Architecture is required.
  • Strong hands-on experience with Generative AI, Agentic AI, prompt engineering, and AI evaluation frameworks is required.
  • Experience with Microsoft Dynamics 365 Finance and Operations, X++, extensions, data entities, integrations, role-based security, workflows, and automation is required.
  • Experience designing technical architectures integrating enterprise resource planning, artificial intelligence, Power Platform, and Azure is required.
  • Experience with Azure Functions, Service Bus, and Logic Apps for high-performance integrations is required.
  • Ability to build custom Copilot experiences for Microsoft Dynamics 365 Finance and Operations is required.
  • Ability to build AI models using Copilot Studio and AI Foundry for form processing, prediction, and category classification is required.
  • Experience using Azure OpenAI chat, completion, and embedding models to build enterprise resource planning conversational assistants is required.
  • Experience building Generative AI workflows integrated into Microsoft Dynamics 365 for summarization, automated email generation, and field-level insights is required.
  • Experience leveraging the Model Context Protocol to create and extend agents for Microsoft Dynamics 365 Finance and Operations apps is required.
  • Experience with event-driven architecture using business events, telemetry, Application Insights monitoring, and PowerShell automation is required.
  • Ability to own AI technical architecture, lead developers, and ensure solution scalability is required.
  • Ability to influence stakeholders and make key decisions in ambiguous or complex architecture scenarios is required.
Responsibilities
  • Identify opportunities to deliver tangible business value by assessing the current state, capturing high-level requirements, and defining business solutions.
  • Translate business needs into technology-enabled solutions and operating models.
  • Support transformation by developing business cases and guiding implementation of key initiatives.
  • Lead AI-driven solution design and delivery by applying Generative AI and Agentic AI to complex business challenges, process automation, and enterprise workflow integration.
  • Own end-to-end technical solution delivery for assigned projects.
  • Design, develop, and customize Microsoft Dynamics 365 Finance and Operations using X++, extensions, data entities, and integrations.
  • Perform hands-on technical development and build complex solutions in Microsoft Dynamics 365 Finance and Operations.
  • Lead technical design workshops and finalize solution architecture inputs for integrations and extensions.
  • Drive AI adoption through solutions using Copilot, Power Automate, AI Builder, and Azure AI capabilities.
  • Review code, validate design patterns, and enforce performance and security best practices.
  • Manage technical teams of developers and consultants and guide them on complex design.
  • Partner with functional teams for fit-gap analysis, feasibility assessment, and impact assessment.
  • Create accelerators and reusable assets aligned with the QUC objective.
  • Support presales through estimations, solution deck creation, and demonstrations.
  • Engage directly with clients and stakeholders to gather requirements, showcase solutions, and resolve technical challenges.
  • Build and deploy custom Copilot experiences for Microsoft Dynamics 365 Finance and Operations.
  • Build Generative AI workflows integrated into Microsoft Dynamics 365 for summarization, automated email generation, and field-level insights.
  • Build reusable automation accelerators, including templates, frameworks, and bot flows.

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

Yahoo Finance
Oct 14th, 2026
Accenture plans $9.5B shareholder returns and $5B acquisitions as it bets on AI reinvention

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.

Yahoo Finance
Oct 14th, 2026
Accenture shares up 10.4% as dividend rises to $1.71 and AI alliances with Dell and Workday expand

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.

Yahoo Finance
Oct 13th, 2026
Accenture shares up 77% from June low as Oct. 14 Investor Day nears

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.

Yahoo Finance
Oct 13th, 2026
Accenture buys UK data firm Sagacity, adding more than 140 AI customer intelligence specialists

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.

Associated Press
Oct 6th, 2026
TM Forum and Accenture launch industry's first AI trust certification for telcos

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.