RIS AWS Lead Architect Associate Director

Accenture in India; Bengaluru; On-site; INR 4,000,000 - 7,500,000; Full time

Job summary

Accenture in India is seeking an AWS technical authority within the Cloud & AI Practice to design, validate and position 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 include AWS breadth & depth, cloud-native architecture, microservices & containers, AI/ML on AWS (Bedrock, SageMaker),

Qualifications

• 18+ years IT experience; 3+ years as Solution/Cloud/Pre-sales Architect.
• AWS experience across modernization, data, AI/ML, security, migration.

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 (RAG, agents), SageMaker (MLOps, training/inference), and Amazon Q.
• Lead modernization using containers (ECS/EKS), serverless (Lambda, Step Functions), APIs (API Gateway/AppSync), and event-driven architectures (MSK/Kinesis).
• Apply AWS Well-Architected Framework (all 6 pillars) in solutions.
• Build data & analytics architectures: data lakes (S3/Lake Formation), pipelines (Glue, EMR, Kinesis), and databases (RDS, Aurora, DynamoDB, Redshift, OpenSearch).
• 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 architecture

Cloud-native architecture

Microservices & containers

AI/ML on AWS

Java/Spring Boot

Python (AI/ML)

Node.js

Education

Bachelor's degree in Computer Science/Engineering

Tools

CDK

Terraform

GitOps

ECS

EKS

Lambda

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:

• 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 aligned to client needs.


• Architect AWS AI/ML using Bedrock (RAG, agents), SageMaker (MLOps, training/inference), and Amazon Q.


• Lead modernization using containers (ECS/EKS), serverless (Lambda, Step Functions), APIs (API Gateway/AppSync), and event-driven architectures (MSK/Kinesis).


• Apply AWS Well-Architected Framework (all 6 pillars) in solutions.


• Build data & analytics architectures: data lakes (S3/Lake Formation), pipelines (Glue, EMR, Kinesis), and databases (RDS, Aurora, DynamoDB, Redshift, OpenSearch).


• 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).

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