AMS Solution Architecture Associate Manager

Accenture in India; Mumbai; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Accenture in India is seeking an Automation Architect to drive end-to-end AI-powered automation using Generative AI across client ecosystems, including Claude, OpenAI and Gemini. You will lead architectural design, oversee PoCs, and guide blended teams in Agile/DevOps environments.

The role requires 7+ years in IT with AI/automation delivery and 2+ years as a technical lead, plus expertise in multi-agent workflows and ERP/CRM integrations. Strong stakeholder engagement is essential.

Qualifications

• 7+ years in IT delivering AI/automation solutions.
• 2+ years leading teams as Technical Lead/Solution Architect.
• Ability to design multi-agent orchestration and LLM-driven workflows.
• Designs automation using RPA/Gen AI/Agentic AI with ERP/ITSM/CRM integrations.
• Experience with modern delivery methods (Agile, DevOps).
• Exposure to FinServ, Retail/CPG, Life Sciences, or Manufacturing.

Responsibilities

• Lead client conversations and internal engineering discussions for complex automation.
• Provide technical solutions for PoCs and manage Gen AI/Agentic AI deployments.
• Coordinate with technical teams for deployments, testing, and product improvements.
• Govern delivery against approved architecture baselines.

Skills

Gen AI

Leadership

RAG pipelines

Orchestration

ERP integration

Cloud platforms

Tools

Dynatrace

Datadog

ServiceNow

Claude

OpenAI

Gemini

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.