AMS Solution Architecture Manager

Accenture; Bengaluru; On-site; INR 2,800,000 - 5,000,000; Full time

Job summary

Accenture in Bengaluru seeks an Automation Architect to design and lead end-to-end AI-powered automation solutions across client ecosystems, leveraging GenAI and Agentic AI technologies (Claude, OpenAI, Gemini).

The role requires 7+ years in IT with AI/automation delivery experience and 2+ years as Technical Lead/Solution Architect on AI-led automation programs. You will collaborate across ERP/ITSM/CRM and cloud platforms (AWS/Azure/GCP) using Agile/DevOps methods.

Qualifications

• 7+ years in IT with AI/GenAI and automation delivery.
• 2+ years leading teams as technical lead/solution architect.
• Experience with multi-agent orchestration, RAG pipelines and LLM workflows.

Responsibilities

• Lead solutioning conversations and define reusable accelerators.
• Deliver PoCs with GenAI/Agentic AI across ERP/CRM/ITSM.
• Coordinate deployments and oversee architecture baselines.

Skills

AI/GenAI architecture

Technical Lead

RAG pipelines

LLM workflows

RPA/GenAI platforms

Cloud platforms

Education

Engineering degree

Masters preferred

Tools

Anthropic Claude

OpenAI

Google Gemini

Dynatrace

Datadog

ServiceNow

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:

• 1.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.


• 2.2+ Years of experience leading teams as Technical Lead/Solution Architect on AI-led automation programmes.


• 3.Ability to understand architect multi-agent orchestration frameworks, RAG pipelines, and LLM-integrated automation workflows leveraging modern architecture principles.


• 4.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.


• 5.Industry domain exposure in Financial Services, Retail CPG, Life Sciences, Aerospace/Manufacturing, or Managed Services/AMS.


• 6.Understanding of Integration Architectures, Observability/AIOps Architectures (Dynatrace, Datadog, ServiceNow), and Data/RAG Architectures.

Good to Have skills:

• 7.Experience in solution architecting in shaping/responding RFP RFI Pursuits, including Techno-Functional Commercial aspects of the solution.


• 8.Cloud Certification in any CSP i.e. AWS/Azure/GCP.


• 9.Prompt Engineering, AI/ML Technical Certifications, Industry SME knowledge, or Generative AI Platform certifications are good to have skills.

Key Responsibilities:

• 10.Lead client conversations internal engineering discussions for solutioning complex automation requirements and reusable asset/accelerator development.


• 11.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.


• 12.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.

Qualification

TBD