Full-Time

Business Process Architect

Accenture

Accenture

10,001+ employees

Global professional services and technology consulting

No salary listed

Jaipur, Rajasthan, India

In Person

Category
Business & Strategy (1)
Required Skills
Groovy
SAP Products
Requirements
  • SAP Business Technology Platform Integration Suite concepts and building blocks (cloud integration/iFlows, transformation patterns, monitoring).
  • Minimum 3 year(s) of experience is required
  • 15 years full time education
Responsibilities
  • Integration Engineering (Cloud, Hybrid, On Prem) Design, develop, and run end-to-end integration scenarios using cloud integration capabilities, enabling reliable connectivity across SAP and non SAP systems.
  • Build, structure, and manage large integration flows with clear modularity, reusability, and maintainability for enterprise scale.
  • Integration Flow Development (iFlows) & Message Transformation Create and maintain integration flows using routing, splitting, gathering, and other transformation patterns.
  • Implement message mappings and data transformations for common enterprise formats (e.g., JSON, XML, CSV), ensuring semantic correctness and downstream compatibility.
  • Apply canonical modeling and contract-first practices to reduce brittle point-to-point dependencies.
  • Scripting, Persistence & Advanced Flow Control Use scripting (e.g., Groovy) to implement complex transformation logic, enrichment, validation, and conditional execution paths.
  • Implement message persistence patterns (e.g., data stores) to support idempotency, retries, correlation, and resilience.
  • API & Connector Enablement Design and expose secure APIs through API management capabilities (policies, authentication/authorization, throttling, versioning).
  • Integrate with third party applications using connector-based approaches and standardized integration patterns.
  • Enable event-driven integration approaches using messaging/event capabilities for near real-time propagation and decoupled architectures.
  • AI Native Integration Intelligence (Agentic Integration Layer) Build integration agents that can generate initial iFlows from system/endpoint selections and naming conventions, then validate them against enterprise standards.
  • Implement retrieval-grounded assistance that pulls from interface catalogs, mapping specs, standards, runbooks, and known incident patterns to produce verifiable recommendations (no free-form guessing).
  • Apply intelligent recommendations for mapping and configuration, accelerating build and reducing rework.
  • Develop AI-driven anomaly detection and prediction for integration/API behavior (error spikes, latency patterns), with human-in-the-loop controls for remediation actions.
  • Optimize and analyze scripts used in integration flows for performance and maintainability through AI-assisted code analysis techniques.
  • Testing, Quality Engineering & Evaluation Loops Build automated testing strategies for integrations: schema/contract validation, payload regression suites, replay testing, and API testing tool-driven verification.
  • Implement AI evaluation harnesses (offline golden test sets + online monitoring) for generated mappings, generated flows, and operational recommendations.
  • Establish release gates for both integration changes and AI prompt/tool updates to prevent silent degradation.
  • Monitoring, Troubleshooting & Observability Set up monitoring dashboards and alerts for flows, APIs, and event-driven pipelines establish traceability with correlation IDs and end-to-end tracking.
  • Diagnose and resolve integration issues using structured logs, message traces, and failure-mode analysis.
  • Create AI-native operational experiences such as conversational root-cause analysis, runbook-guided remediation, and impact analysis—bounded by role-based access and approval workflows.
  • Integration Strategy & Maturity Enablement Apply integration advisory practices to design hybrid integration platforms and define integration best practices across teams.
  • Use integration assessment approaches to improve integration maturity, standardize patterns, and automate repeatable architectural governance where feasible.
Desired Qualifications
  • Event-driven integration design and enterprise messaging patterns.
  • Connector-based integrations with third-party Software-as-a-Service ecosystems.
  • Migration and modernization experience from legacy integration platforms to cloud integration.
  • Integration governance and advisory methodologies for enterprise-wide standardization.

Accenture is a global professional services firm that helps companies navigate technology-driven change. It offers strategies and services across consulting, digital, technology, and operations, with a strong emphasis on cloud, artificial intelligence, security, and enterprise reinvention. Accenture works by delivering end-to-end solutions, combining advisory work with implementation, technology platforms, and managed services to transform how organizations operate and compete in today’s digital world. The company differentiates itself through its long history as a dedicated tech-advisory arm that gained independence in 2001, its scale, and its active acquisitions—particularly since 2013—to expand capabilities in digital, cloud, and security. Its goal is to help the world’s largest corporations rethink and reshape their operations to stay ahead of rapid technological shifts.

Company Size

10,001+

Company Stage

IPO

Headquarters

Dublin, Ireland

Founded

1989

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Simplify's Take

What believers are saying

  • Monetize AI maturity model as lead-gen tool for AI assessment and roadmap engagements beyond thought leadership
  • Package 8-dimension advisory offer to drive multi-phase transformation work across clients
  • Use assessment baselines for subscription-like diagnostics or repeat assessments within large enterprise accounts

What critics are saying

  • AI displacement caused record 18% single-day stock drop, signaling immediate erosion of core consulting revenue streams
  • $4.2B Dragos acquisition amid declining bookings exposes flawed M&A strategy that may dilute margins without scalable OT revenue
  • US federal decline and Middle East uncertainty create near-term revenue cliff likely triggering layoffs and further guidance cuts

What makes Accenture unique

  • Owns empirically validated AI Adoption Maturity Model with Carnegie Mellon SEI across eight dimensions and five levels
  • Pioneers $10B cybersecurity business expanding into underserved OT security via $4.2B Dragos and OT acquisitions
  • Leads enterprise reinvention with 104 client bookings over $100M, integrating AI into products rather than just frameworks

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Benefits

Health Insurance

Professional Development Budget

401(k) Retirement Plan

401(k) Company Match

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Accenture Federal Services, a subsidiary of Accenture plc, has secured significant government contracts that strengthen the company's long-term growth prospects, according to UBS analyst Kevin McVeigh, who maintained a Buy rating with a $320 price target. AFS generated approximately $5.3 billion in fiscal year 2025, representing 8% of Accenture's total revenue. The unit recently won a 4.5-year contract with the US Department of Veterans Affairs to modernise electronic health records for over 9 million veterans, alongside a separate contract to upgrade the National Weather Service's weather system. McVeigh noted these multi-year contracts provide visibility as AFS recovers from recent budget pressures and government spending cuts. The subsidiary employs around 15,000 people and focuses on mission-critical technology solutions for US government agencies.

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Accenture has acquired Keepler Data Tech, a Spanish cloud-native AI and data company founded in 2018, to expand its AI and data capabilities in Spain and beyond. Financial terms were not disclosed. Keepler offers end-to-end AI and data services, from strategy and cloud-native data foundations to advanced analytics and agentic AI deployment. The company focuses on industrialised delivery, ethics and compliance to help organisations modernise data architecture and implement DataOps and MLOps at scale. More than 240 Keepler professionals, including technical architects, data scientists and software engineers, will join Accenture. The company has offices in Madrid, London and Lisbon. The acquisition follows Accenture's recent purchases of AI companies including Faculty, Decho, RANGR Data, NeuraFlash and Halfspace as part of its ongoing investment in AI capabilities.