Role : AWS Solutions Architect - GenAI & Agentic AI

Role : Hyderabad (Onsite) | Full-time

The role :

You'll be the technical lead for our US customers. You'll own each engagement from the first technical conversation to an approved architecture : understanding the problem, designing the AWS solution, making the cost and security case, and handing a solid design to our delivery team.

What you'll do :

- Run technical discovery with CTOs and engineering teams, and turn business goals into AWS architectures

- Design GenAI and agentic AI solutions on AWS : Amazon Bedrock (Agents, AgentCore, Knowledge Bases, Guardrails), RAG pipelines, SageMaker, and serverless services (Lambda, Step Functions, API Gateway)

- Build cost estimates and optimization plans, including costs specific to LLMs such as token usage, model choice, and throughput

- Design secure architectures from the start : IAM, KMS, VPC design, multi-account landing zones, and data protection and guardrails for AI workloads

- Apply the AWS Well-Architected Framework and run architecture reviews

- Prepare technical documentation for AWS partner programs, including MAP and GenAI program submissions

- Work with AWS account managers, partner managers and solutions architects on joint customer engagements

- Write reference architectures, solution briefs and technical case studies

- Stay current on AWS AI services and share what you learn with the team

What we're looking for :

- 3 - 5 years of hands-on AWS experience, including at least 2 years designing solutions (not only operations or support)

- Has built at least one GenAI solution on AWS (Bedrock or SageMaker) and can explain the trade-offs : RAG vs. fine-tuning, model selection, cost vs. performance

- Solid understanding of AWS security and cost optimization best practices

- Able to explain technical designs clearly to both technical and business audiences

- Strong communication skills; comfortable leading calls with US customers

- AWS Certified Solutions Architect (Professional preferred)

- Willing to work in US-overlap hours (IST evenings)

Good to have :

- Experience at an AWS consulting partner, with exposure to ACE, MAP or Well-Architected reviews

- Experience working with SMB customers

- AWS Certified Generative AI, Machine Learning or Security Specialty

- Infrastructure as code (Terraform, CDK or CloudFormation)

- Exposure to compliance frameworks such as HIPAA or SOC 2