AMS Solution Architecture Associate Manager
- India
Posted 2 days ago
About the role
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.
TBD
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.
TBD