Salary
≈ $23k – $51k per year (Estimated)
Location
In office (Bengaluru)
Experience
7+ years exp
Employment
Full-Time
First seen by Alion on Oct 26, 2026. Accenture scores A on the Alion truth index.
Overview
Company
Impact
Profile match
Accenture is a professional services company that began as the consulting arm of the accounting firm Arthur Andersen, separated as Andersen Consulting in 1989 and took its present name in 2001. It is one of the largest technology services organisations in the world, employing well over seven hundred thousand people and running strategy, consulting, technology, operations and industry work for most of the Fortune Global 500. Incorporated in Dublin and built on a delivery network concentrated in India and the Philippines, it has reoriented around cloud migration, cybersecurity and generative AI, which it now books as a distinct multi-billion dollar revenue line.
Backed by RLJ Equity Partners
Project Role Description: Automation Architect should be able to drive/design/solution end-to-end AI-powered automation solutions leveraging Generative AI and Agentic AI Technologies across client ecosystems (Claude, OpenAI, Google Gemini) for External & Internal Accenture stakeholders.
Must have skills:
7-12 years of experience in IT industry experience in technology consulting/Application Services, system integration, outsourcing, or cloud advisory services.
Outstanding interpersonal/communication skills, strong articulation capability, ability to influence and build relationships with clients and key stakeholders; structured, issue-based problem-solving approach.
Ability to understand client business and technology drivers - business-IT alignment, AI/automation operating model, and sourcing model dimensions.
In-depth expertise and prior experience; ITIL/PMP/TOGAF/Generative AI certifications preferable.
Educational Qualification: Engineering Bachelor's degree from premier Tier-1/2 institute / Masters / Diploma in Management.
Must have skills:
- Overall 7+ years of experience in IT Industry with extensive experience in delivering/architecting AI, Gen AI, and Agentic AI automation solutions across Application Maintenance / Application Development/ System Integration/Transformation engagements.
- 2+ Years of experience leading teams as Technical Lead/Solution Architect on AI-led automation programmes.
- Ability to understand & architect multi-agent orchestration frameworks, RAG pipelines, and LLM-integrated automation workflows leveraging modern architecture principles.
- Design, develop and architect automation solutions using RPA/AI/Gen AI/Agentic AI platforms (Anthropic Claude, OpenAI, Google Gemini), integrated with enterprise systems i.e. ERP, ITSM, CRM and Cloud platforms (AWS/Azure/GCP), leveraging modern delivery methods i.e. Agile, DevOps etc.
- Industry domain exposure in Financial Services, Retail & CPG, Life Sciences, Aerospace/Manufacturing, or Managed Services/AMS.
- Understanding of Integration Architectures, Observability/AIOps Architectures (Dynatrace, Datadog, ServiceNow), and Data/RAG Architectures.
- Experience in solution architecting in shaping/responding RFP & RFI Pursuits, including Techno-Functional & Commercial aspects of the solution.
- Cloud Certification in any CSP i.e. AWS/Azure/GCP.
- Prompt Engineering, AI/ML Technical Certifications, Industry SME knowledge, or Generative AI Platform certifications are good to have skills.
- Lead client conversations & internal engineering discussions for solutioning complex automation requirements and reusable asset/accelerator development.
- Provide technical solutions for client Proof of Concepts; plan the overall pursuit, gather requirements, execute and manage Gen AI/Agentic AI automation solutions in response to a Client Request/RFP/Delivery Optimization initiative.
- Co-ordinate & work with technical teams for client deployments, automation pipeline testing, and product enhancements; govern delivery against approved architecture baselines.
7-12 years of experience in IT industry experience in technology consulting/Application Services, system integration, outsourcing, or cloud advisory services.
Outstanding interpersonal/communication skills, strong articulation capability, ability to influence and build relationships with clients and key stakeholders; structured, issue-based problem-solving approach.
Ability to understand client business and technology drivers - business-IT alignment, AI/automation operating model, and sourcing model dimensions.
In-depth expertise and prior experience; ITIL/PMP/TOGAF/Generative AI certifications preferable.
Educational Qualification: Engineering Bachelor's degree from premier Tier-1/2 institute / Masters / Diploma in Management.
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