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Accenture

Advises businesses and runs their technology

Business Architect

Enterprise ApplicationsConfirmed live in the last 24 hours
Full-timeChennai, Tamil Nadu, IndiaNo salary listedIn-person

About the Job

Requirements

  • At least 16 years of overall experience, including 12 years in Dynamics 365 ERP technical work and 3 years in AI and Azure services.
  • Deep experience with the Dynamics 365 Finance & Operations technical stack, including X++, OData, custom APIs, extensions, batch framework, dual-write, and Dataverse.
  • Expertise in Azure architecture for ERP modernization, including Azure Functions, Logic Apps, APIM, Service Bus, Event Grid, and Key Vault.
  • Demonstrated experience building Copilot-like or AI-powered solutions using Azure AI Studio or Copilot Studio, Azure OpenAI (GPT, embeddings, and RAG), and Cognitive Services (OCR, Form Recognizer, and Speech).
  • Experience leveraging MCP to create and extend agents for Microsoft Dynamics 365 Finance and Operations apps.
  • Strong understanding of Power Platform, including Power Apps, Power Automate, and Dataverse.
  • Experience with CI/CD and DevOps using Azure DevOps pipelines.
  • Strong grasp of generative and agentic AI, prompt engineering, and AI evaluation frameworks.
  • Ability to align AI capabilities with business objectives while ensuring scalability, responsible use, and value realization.
  • 15 years of full-time education.

Responsibilities

  • Identify opportunities to deliver business value by assessing the current state, capturing high-level requirements, defining business solutions, translating business needs into technology-enabled solutions and operating models, developing business cases, and guiding implementation of key initiatives.
  • Lead AI-driven solution design and delivery, applying generative and agentic AI to address business challenges, automate processes, and integrate intelligent insights into enterprise workflows.
  • Lead architecture and delivery of AI-enabled Dynamics 365 solutions, driving AI adoption across implementations through Copilot extensibility, generative AI solution architectures, MLOps pipelines, and AI integration into business processes.
  • Influence technology strategy, shape reusable accelerators and frameworks, mentor senior architects and teams, and represent the organization in client conversations.
  • Act as a technical thought leader for Dynamics 365 technical architecture and AI enablement.
  • Define and drive AI solution strategy for Dynamics 365 implementations, including Copilot, generative AI, automation patterns, and data platforms.
  • Provide architectural governance across multiple delivery engagements to ensure design consistency, scalability, performance, and security.
  • Represent the organization in presales pursuits, client presentations, solution reviews, and executive discussions.
  • Build accelerators, reusable components, code templates, and internal intellectual property to improve developer productivity and quality.
  • Contribute to white papers, customer solution demonstrations, workshops, and innovation forums.
  • Design, develop, and customize Dynamics 365 Finance & Operations using X++, extensions, data entities, and integrations.
  • Build complex Dynamics 365 Finance & Operations technical solutions as an individual contributor.
  • Engage directly with clients and stakeholders to gather requirements, showcase solutions, and resolve technical challenges.
  • Learn and apply emerging AI technologies to drive innovation and improve delivery effectiveness.
  • Architect, design, and guide complex Dynamics 365 ERP technical extensions using X++, plugins, Azure integrations, and Dataverse.
  • Design integration patterns using Azure Integration Services, including Azure Functions, APIM, Service Bus, and Logic Apps.
  • Design event-driven architectures using business events and APIs.
  • Design Copilot plugins for Finance & Operations and Power Platform.
  • Build generative AI automation using Azure OpenAI and GPT models.
  • Design and optimize prompt engineering and grounding approaches using enterprise data.
  • Implement AI-based business rules and recommendation engines.
  • Establish MLOps pipelines for lifecycle management across development, QA, and production.
  • Define and enforce DevOps standards using Azure DevOps, including CI/CD, branching strategies, automated builds, and deployments.
  • Conduct design reviews, code reviews, and performance tuning, and provide technical mentoring.
  • Mentor managers and architects to build talent depth in Dynamics 365 and AI capabilities.
  • Publish thought leadership content, drive internal knowledge forums, and lead a community of practice.

Desired Qualifications

  • Experience using AI to optimize ERP functions, such as automating journal entries, predictive inventory optimization, or anomaly detection.
  • Experience with cloud security, role-based access control, and API authentication, including OAuth and managed identity.
  • Exposure to data engineering technologies, including Synapse, Fabric, and ADLS.

About the Company

Accenture

Advises businesses and runs their technology

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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