Automation Solution Architect Manager

Accenture India Private Limited; Bengaluru; On-site; INR 4,500,000 - 7,500,000; Full time

Job summary

Accenture India Private Limited is seeking an AMS Solution Architecture Manager to lead end-to-end AI-powered automation initiatives, blending Gen AI and Agentic AI across client environments.

You will drive designs for multi-agent workflows, integrate with ERP/ITSM/CRM, and partner with offshore/onsite teams using Agile and DevOps.

Qualifications

• 7+ years IT industry experience delivering AI-based automation solutions.
• 2+ years leading teams as Technical Lead/Solution Architect on AI automation programmes.
• Experience with multi-agent orchestration, RAG pipelines and LLM-led workflows.
• Design/develop automation using RPA/GenAI platforms with ERP/ITSM/CRM integrations.
• Industry exposure in Financial Services, Retail/CPG, Life Sciences, or Manufacturing.
• Strong knowledge of Integration Architectures and Observability/AIOps tools.

Responsibilities

• Lead client conversations and internal discussions for complex automation solutions.
• Plan and execute Gen AI/Agentic AI automation deployments in response to RFP/Delivery needs.
• Coordinate with technical teams for deployments, testing and product enhancements.

Skills

7+ years IT experience

Leadership experience

Multi-agent orchestration

Automation platforms (RPA/GenAI)

Industry domains

Integration & observability

RFP/RFI experience

Cloud certification

AI certifications

Education

Engineering Bachelor's degree

Tools

Anthropic Claude

OpenAI

Google Gemini

ERP

ITSM

CRM

Job description

AMS Solution Architecture Manager 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. 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. 2+ Years of experience leading teams as Technical Lead/Solution Architect on AI-led automation programmes.
3. 3. Ability to understand & architect multi-agent orchestration frameworks, RAG pipelines, and LLM-integrated automation workflows leveraging modern architecture principles.
4. 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. 5. Industry domain exposure in Financial Services, Retail & CPG, Life Sciences, Aerospace/Manufacturing, or Managed Services/AMS.
6. 6. Understanding of Integration Architectures, Observability/AIOps Architectures (Dynatrace, Datadog, ServiceNow), and Data/RAG Architectures.

Good to Have skills:

1. 7. Experience in solution architecting in shaping/responding RFP & RFI Pursuits, including Techno-Functional & Commercial aspects of the solution.
2. 8. Cloud Certification in any CSP i.e. AWS/Azure/GCP.
3. 9. Prompt Engineering, AI/ML Technical Certifications, Industry SME knowledge, or Generative AI Platform certifications are good to have skills.

Key Responsibilities:

1. 10. Lead client conversations & internal engineering discussions for solutioning complex automation requirements and reusable asset/accelerator development.
2. 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.
3. 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.