Sr. Application Architect

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. Are you an experienced cloud architect/developer who can assist customers in designing and developing cloud-native, AI-integrated applications and/or re-engineering applications to fully leverage the AWS Cloud? Do you like working on game-changing projects at the forefront of application development, AI Agents, and cloud technology adoption?

AWS ProServe India LLP is looking for highly talented hands-on technical architects to accelerate our growing Professional Services business in India. You'll join Amazon's world-class technical teams, working on diverse projects including reimagining customer agent-enabled applications, modernization, Generative AI adoption, and AI-DLC application development.

What You'll Do:

Design and build well-architected, cloud-native applications leveraging AWS services (EC2, ECS, Elastic Beanstalk, Auto Scaling, etc.) Architect AI/ML solutions using AWS AI services (Bedrock, SageMaker, Amazon Q, Rekognition, Comprehend) Guide customers through the AI Development Life Cycle (AI-DLC) — from data readiness and model development to deployment and continuous improvement Design Generative AI and Agentic AI architectures that are secure, scalable, and cost-optimized Advise on responsible AI practices including governance, explainability, and bias detection

Key job responsibilities We are looking for hands-on architects/developers who are passionate about:

*Help internal customers make decisions on their cloud and AI journey, define scalable architecture, highly available solutions that leverage AWS services and AI capabilities *Assisting internal customers to architect and develop applications that are cloud-optimized and AI-integrated, including Generative AI and Agentic AI solutions *Working as a technical leader alongside customer business, development, and infrastructure teams *Guiding customers through the AI Development Life Cycle (AI-DLC), from problem framing, data readiness, and model selection to deployment, evaluation, and continuous improvement *Sharing deep software development knowledge with respect to cloud architecture, AI design patterns, and programming *Advising and implementing AWS best practices for both cloud-native and AI-powered workloads *Assisting internal customers in infrastructure, application development, and AI solution integration *Assisting internal customers in agile software development and Implementation of DevOps practices *Independently leading a team that delivers applications including AI-enabled features spanning the full software lifecycle: design, implementation, testing, deployment, and maintenance strategy *Scoping development efforts, identifying risks, and prioritizing deliverables to meet organizational goals; providing guidance so your team designs solutions making the right trade-offs between innovation, speed, and operational excellence