RIS AI Architect Senior Manager

Accenture; Pune District; On-site; INR 2,500,000 - 4,500,000; Full time

Job summary

Accenture in Pune, India is seeking a highly experienced Solution Architect to develop Cloud Native and AI-powered solutions. The role includes leading the architecture for large-scale cloud transformations and defining reference architectures that integrate cutting-edge AI technologies.

The ideal candidate has over 15 years of IT experience, strong expertise in AWS, Azure, and GCP, and has a track record of winning significant technology deals. Certifications in AWS and Azure are mandatory.

Qualifications

• 15+ years of overall IT experience, including 5 years in a Solution Architect or Pre-Sales Architect role.
• Proven experience winning and architecting deals in the $5M–$50M+ range.
• Exceptional communication and executive presence.

Responsibilities

• Lead end-to-end solution architecture for complex cloud-native and AI transformation projects.
• Define reference architectures integrating Generative AI services into cloud solutions.
• Drive Application Modernization strategies across multiple cloud environments.

Skills

Cloud-native architecture

AWS expertise

Azure expertise

GCP expertise

Infrastructure as Code

AI/ML integration

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Terraform

Kubernetes

Docker

CDK

Job description

Project Role Description

Support developing Cloud Native and custom SI solutions powered by AI and cloud-native technologies, support sales teams, perform opportunity triage and sales support liaison, and coordinate with clients on the details of the solution. Has expertise in one or more public cloud provider technologies (AWS, Azure, GCP) and is capable of embedding these capabilities alongside AI/ML services such as Generative AI, LLMs, and intelligent automation into existing or new cloud-based solutions to drive measurable client value.

Key Responsibilities

1. Lead end-to-end solution architecture for large, complex cloud-native and AI transformation engagements, from discovery to proposal and transition-to-delivery.
2. Define reference architectures integrating Generative AI (LLMs, RAG, agents), MLOps pipelines, AIOps, and intelligent automation into enterprise-grade cloud solutions.
3. Architect multi-cloud and hybrid solutions across AWS, Azure, and GCP leveraging platform-native AI services (SageMaker, Azure AI Foundry, Vertex AI) alongside open-source frameworks.
4. Drive Application Modernization strategies including cloud-native refactoring, microservices decomposition, API-led integration, event-driven architectures, and serverless paradigms.
5. Ensure solutions address non-functional requirements: security, resilience, observability, cost optimization, and responsible AI/governance compliance.

Technical Experience

• Deep expertise across AWS, Microsoft Azure, and Google Cloud Platform services, pricing, well-architected frameworks, and partner programs.
• Cloud-native architecture: Kubernetes (EKS, AKS, GKE), containerisation (Docker), service mesh (Istio/Linkerd), GitOps, Helm.
• Infrastructure as Code: Terraform, Pulumi, CDK; CI/CD toolchains: GitHub Actions, Azure DevOps, Jenkins.
• Private cloud and hybrid architectures: VMware Tanzu, Azure Arc, AWS Outposts, OpenShift.

Professional Attributes

• Exceptional executive presence with the ability to engage C-suite stakeholders, translate complex technical concepts, and build long-term client trust.
• Demonstrated track record of winning large, complex technology deals in a pre-sales / solution architect capacity at a reputed IT services or consulting firm.
• Outstanding written and oral communication; adept at crafting compelling solution narratives, executive decks, and proposal responses.
• Strategic thinker with strong business acumen, able to balance technical rigor with commercial pragmatism and client value creation.
• Collaborative leader who can energise cross-functional pursuit teams, manage ambiguity, and drive decisions at pace.
• Continuous learner with a passion for emerging AI and cloud technologies; active contribution to thought leadership and community.

Educational Qualification

15+ years of overall IT experience, with a minimum of 5 years in a Solution Architect or Pre-Sales Architect role at a tier-1 IT services or consulting organisation. Proven experience winning and architecting deals in the $5M–$50M+ range across cloud transformation, application modernisation, and AI/data programmes. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.

Mandatory Cloud Certifications

• AWS Solutions Architect – Professional
• Azure Solutions Architect Expert
• GCP Professional Cloud Architect (two or more preferred)

AI/ML Certifications (Desirable)

• AWS ML Specialty
• Azure AI Engineer
• Google Professional ML Engineer
• Or equivalent