RIS AI Architect Associate Director

Accenture; Mumbai; On-site; INR 2,000,000 - 3,500,000; Full time

Job summary

Accenture is seeking a Solution Architect to support cloud-native and AI-powered solutions. You will own the end-to-end design, engage client stakeholders, and lead pursuit teams.

The role demands 18+ years of IT experience and strong expertise across AWS, Microsoft Azure, and Google Cloud. Proven record in winning deals of $5M+, along with requisite cloud certifications, is essential.

Continuous learning and collaboration are highly valued in this role.

Qualifications

• 18+ years of overall IT experience with a minimum of 5 years in a Solution Architect or Pre-Sales Architect role.
• Proven experience winning and architecting deals in the $5M–$50M+ range.
• Mandatory cloud certifications: AWS Solutions Architect – Professional, Azure Solutions Architect Expert, or GCP Professional Cloud Architect.

Responsibilities

• Lead solution architecture for cloud-native and AI engagements in the $3M–$20M range.
• Produce high-quality proposal artefacts including solution overviews and architecture diagrams.
• Engage client technical stakeholders to build credibility and co-shape solution vision.

Skills

Cloud native architecture

AI/ML platforms

Java Spring Boot

Python

Microservices

Education

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

Tools

AWS

Microsoft Azure

Google Cloud Platform

Terraform

Docker

Job description

Project Role Description

Support at the intersection of technical depth and client engagement, owning the end-to-end design of cloud-native and AI-powered solutions for mid-to-large transformation engagements. Operating with greater autonomy than a senior architect, this role leads pursuit teams, shapes proposals, and translates complex requirements into compelling, commercially grounded solution narratives while remaining hands‑on in validating architecture decisions.

Key Responsibilities

• Lead solution architecture for cloud-native and AI engagements in the $3M–$20M range from discovery through proposal, orals, and transition-to-delivery with Director oversight on larger bids.
• Support and contribute to application modernisation initiatives including microservices decomposition, API‑led integration, event‑driven architectures, and serverless patterns.
• Architect multi‑cloud and hybrid solutions leveraging platform‑native AI services (SageMaker, Azure AI Foundry, Vertex AI) and open‑source frameworks.
• Define and validate non‑functional requirements such as security, resilience, observability, cost optimisation, and responsible AI/governance across proposed solutions.
• Engage client technical stakeholders (architects, engineering leads, CTOs) to build credibility, uncover requirements, and co‑shape solution vision.
• Produce high‑quality proposal artefacts including solution overviews, architecture diagrams, technical sections of RFP responses, and executive summaries.
• Mentor and guide senior and mid‑level architects within the practice; contribute to reusable assets, accelerators, and thought leadership.
• Coordinate with delivery leads and practice principals to ensure smooth handover from pre‑sales to delivery.

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

Strong client‑facing presence able to engage senior technical stakeholders and translate architectural decisions into business value clearly and confidently. Proven ability to contribute meaningfully to winning technology deals; comfortable owning the technical narrative on mid‑market pursuits. Excellent written and verbal communication; adept at crafting architecture diagrams, solution narratives, and proposal content under deadline pressure. Commercially aware can balance technical idealism with delivery pragmatism, scope management, and client constraints. Collaborative team member who can lead a small pursuit team, manage ambiguity, and coordinate across functions (sales, delivery, SMEs). Continuous learner with genuine curiosity about emerging AI and cloud technologies; actively builds and shares knowledge within the practice.

Educational Qualification

18+ 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.

Qualification

• AI/ML platforms, Cloud native architecture, Languages & frameworks: Java Spring Boot, .NET C#, Python primary for AI/ML, Node.js, Microservices.
• Good to Have Skills: Responsible AI, Data engineering, Automation, Domain expertise.