RIS Automation Solution Architect Senior Manager

Accenture in India; Mumbai; On-site; INR 3,200,000 - 5,200,000; Full time

Job summary

Accenture in India seeks an Automation Architect to design and implement end-to-end AI-powered automation solutions across client ecosystems using Generative AI and Agentic AI technologies. The role emphasizes architecture, hands-on design, and cross-team collaboration.

You will lead AI-led automation programs, define orchestration and RAG pipelines, and drive delivery with Agile/DevOps across ERP/CRM/Cloud integrations. Strong domain experience in金融 services、Retail、Manufacturing helps.

Qualifications

• 7+ years in IT with AI/Gen AI automation delivery experience.
• 2+ years leading teams as Technical Lead or Solution Architect on AI-led programs.
• Experience designing multi-agent orchestration frameworks and RAG architectures.

Responsibilities

• Lead client conversations and internal discussions for solutioning complex automation requirements.
• Provide technical solutions for PoCs; plan, gather requirements, and execute Gen AI automation.
• Coordinate with technical teams for deployments, testing, and delivery against baselines.

Skills

AI Architecture

Gen AI

Agentic AI

RAG pipelines

LLM integration

Cloud platforms

Agile/DevOps

Stakeholder management

Education

Engineering Bachelor's degree

Job description

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:

• 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.

Good to Have skills:

• 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.

Key Responsibilities:

• 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.

Professional Attributes:

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.