Accenture in India
Website:
accenture.com
Company:
https://www.linkedin.com/company/accentureindia
Industries: IT Services and IT Consulting
Job details:
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
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