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Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Senior Manager AI Architect

ArchitectArchitectFull TimeRemoteLeadTeam 10,001+H1B SponsorCompany SiteLinkedIn

Location

India

Posted

8 days ago

Salary

0

Seniority

Lead

Job Description

Senior Manager AI Architect

Accenture

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. Qualifications - AI/ML platforms - Cloud-native architecture - Languages & frameworks: Java / Spring Boot, .NET / C#, Python (primary for AI/ML), Node.js - Microservices Requirements - Lead end-to-end solution architecture for large, complex cloud-native and AI transformation engagements, from discovery to proposal and transition-to-delivery - Define reference architectures integrating Generative AI (LLMs, RAG, agents), MLOps pipelines, AIOps, and intelligent automation into enterprise-grade cloud solutions - 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 - Drive Application Modernization strategies including cloud-native refactoring, microservices decomposition, API-led integration, event-driven architectures, and serverless paradigms - 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 - Mandatory cloud certifications: AWS Solutions Architect – Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect (two or more preferred) - AI/ML certifications desirable: AWS ML Specialty, Azure AI Engineer, Google Professional ML Engineer, or equivalent - Bachelor's or Master's degree in Computer Science, Engineering, or a related field

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