RIS AWS Lead Architect Associate Director

Accenture; Bengaluru; On-site; INR 400,000 - 800,000; Full time

Job summary

Accenture seeks an AWS technical authority to design, validate, and position AWS-led solutions across cloud transformation, modernization, and AI/ML initiatives. You will independently lead mid–large pursuits, define client architecture, and drive practice growth with AWS services and partner enablement.

You will mentor architects, develop accelerators, and collaborate with AWS teams for co-sell opportunities, MAP funding, and compelling IT transformations.

Qualifications

• 18+ years IT experience with 3+ years in solution/pre-sales architecture.
• Strong AWS expertise across EC2, EKS, ECS, Lambda, VPC, Direct Connect, and databases.
• Experience with AWS AI/ML (Bedrock, SageMaker, Amazon Q) integrated with enterprise workflows.
• Degree in Computer Science/Engineering or related field; AWS Solutions Architect Professional mandatory.
• Experience supporting $3M-$20M AWS deals; co-sell/MAP preferred.

Responsibilities

• Own AWS architecture and technical narrative for deals ($3M–$20M).
• Design end-to-end AWS solutions across compute, network, storage, DB, security, analytics, AI/ML.
• Architect AWS AI/ML using Bedrock, SageMaker, and Amazon Q.
• Lead modernization using containers, serverless, APIs, and event-driven architectures.
• Apply AWS Well-Architected Framework (6 pillars) in solutions.
• Build data & analytics architectures: data lakes, pipelines, and databases.
• Support AWS Partner Network growth via competencies, case studies, GTM.
• Develop proposal artefacts (solutions, diagrams, RFP content, cost models).
• Conduct discovery workshops and Well-Architected Reviews.
• Mentor architects and build reusable accelerators/assets.
• Collaborate with AWS teams for co-sell and funding (MAP, ISV Accelerate).

Skills

AWS breadth/depth

Cloud-native architecture

Microservices & containers

AI/ML on AWS

Java/Spring Boot

Python (AI/ML)

Node.js

Education

Degree in Computer Science/Engineering or related field

Tools

CDK

Terraform

LangChain

LlamaIndex

Outposts

VMware

DMS

Job description

Project Role Description

Act as the AWS technical authority within the Cloud & AI Practice, designing, validating, and positioning AWS-led solutions across cloud transformation, modernization, and AI/ML. Independently lead mid??large pursuits, define client AWS architecture, and support practice growth by tracking AWS services, partner requirements, and delivery patterns.

Must have Skills

AWS (breadth & depth), Cloud-native architecture, Microservices & containers, AI/ML on AWS (Bedrock, SageMaker), Java/Spring Boot, Python (AI/ML), Node.js

Good to Have Skills

AWS AI/ML (Bedrock, SageMaker), FinOps, Migration

Key Responsibilities

1. Own AWS architecture and technical narrative for deals ($3M??$20M).
2. Design end-to-end AWS solutions across compute, network, storage, DB, security, analytics, AI/ML aligned to client needs.
3. Architect AWS AI/ML using Bedrock (RAG, agents), SageMaker (MLOps, training/inference), and Amazon Q.
4. Lead modernization using containers (ECS/EKS), serverless (Lambda, Step Functions), APIs (API Gateway/AppSync), and event-driven architectures (MSK/Kinesis).
5. Apply AWS Well-Architected Framework (all 6 pillars) in solutions.
6. Build data & analytics architectures: data lakes (S3/Lake Formation), pipelines (Glue, EMR, Kinesis), and databases (RDS, Aurora, DynamoDB, Redshift, OpenSearch).
7. Support AWS Partner Network growth via competencies, case studies, GTM.
8. Develop proposal artefacts (solutions, diagrams, RFP content, cost models).
9. Conduct discovery workshops and Well-Architected Reviews.
10. Mentor architects and build reusable accelerators/assets.
11. Collaborate with AWS teams for co-sell and funding (MAP, ISV Accelerate).

Technical Experience

Strong AWS expertise (EC2, EKS, ECS, Lambda, VPC, Direct Connect, databases) with solution design and cost optimization. Experience with AWS AI/ML (Bedrock, SageMaker, Amazon Q) integrated with enterprise workflows and frameworks (LangChain, LlamaIndex). Proficiency in modernization patterns: containers, serverless, APIs, event-driven systems using IaC (CDK, Terraform) and CI/CD (GitOps). Knowledge of data platforms: S3, Lake Formation, Glue, Athena, Kinesis, MSK, Redshift, OpenSearch. Understanding of AWS security & governance: IAM, Organizations, Control Tower, GuardDuty, Security Hub, Zero Trust; plus hybrid/migration tools (Outposts, VMware, MGN, DMS).

Professional Attributes

Credible AWS authority engaging architects, CTOs, and partner forums. Strong pre-sales ownership for mid-to-large pursuits. Clear communicator translating complex architectures into business-friendly outputs. Commercially aware of cost, delivery, and client maturity. Collaborative across teams and AWS stakeholders. Continuously updated with AWS roadmap and innovations.

Experience & Qualifications

18+ years IT experience; 3+ years as Solution/Cloud/Pre-sales Architect. AWS experience across domains (modernization, data, AI/ML, security, migration). Experience supporting $3M??$20M AWS deals; familiarity with co-sell/MAP preferred. Hands-on ability to design, validate, and prototype solutions. Degree in Computer Science/Engineering or related field. AWS Solutions Architect ?? Professional (mandatory); additional certifications preferred