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

About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job below, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS?
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Basic Qualifications

- 10+ years of technical specialist, design and architecture experience
- 10+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 10+ years of consulting, design and implementation of serverless distributed solutions experience
- 10+ years of external or internal customer facing, complex and large scale project management experience
- Bachelor's degree in computer science, engineering, mathematics or equivalent
- Travel up to 30% of the time

Preferred Qualifications

- Experience with designing and building application using AWS services such as Lambda, AWS Elastic Beanstalk, Kubernetes
- Experience in one of the following programming languages: Java, Python, Ruby, Node.js, C#, or C
- 8+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
- Experience working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage
- Experience with AI-DLC across the full GenAI lifecycle: data preparation, prompt engineering, model evaluation, and deploying Generative/Agentic AI solutions.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.