AMS Solution Architecture Manager

Accenture in India; Bengaluru; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture in India is seeking an Automation Architect to design and deliver end-to-end AI-powered automation solutions across client ecosystems, leveraging Generative AI and agentic AI technologies (Claude, OpenAI, Google Gemini).

You will lead AI automation programs, mentor teams, and coordinate with ERP, ITSM, CRM, and cloud platforms (AWS/Azure/GCP) using Agile and DevOps, driving scalable automation and delivering tangible business outcomes.

Qualifications

• 7+ years in IT with AI/Gen AI automation delivery experience.
• 2+ years as Technical Lead or Solution Architect on AI-led programmes.
• Experience in multi-agent orchestration frameworks and LLM workflows.

Responsibilities

• Lead client conversations and internal engineering discussions for complex automation.
• Provide technical solutions for proofs of concept and manage Gen AI/Agentic automation delivery.
• Coordinate with technical teams for deployments, testing and product enhancements.

Skills

AI/Gen AI automation

Solution Architect leadership

RAG pipelines

LLM-integrated workflows

RPA/AI platforms

ERP/ITSM/CRM integration

Multi-agent orchestration

Education

Engineering Bachelor's degree

Tools

Dynatrace

Datadog

ServiceNow

AWS

Azure

GCP

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.