AmazonPosted 3mo ago

Sr. Application Architect

Sr. Application Architect at Amazon scores 66 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.

IN, KA, Bengaluruseniorfull-time

AI in this role

bedrocksagemaker

prompt-engineeringai-agentsai-evaluationnlpai-safety

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
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, 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.

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.

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 conferences, inspire us to never stop embracing our uniqueness.

Mentorship and 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.

Basic qualifications

- 10+ years of technical specialist, design and architecture experience
- 10+ years of consulting, design and implementation of serverless distributed solutions experience
- 10+ years of software development with object oriented language 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

- 6+ years of leading development of applications backed by AWS services or using other cloud based technologies and services experience
- 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
- Experience in professional, non-internship software development, or experience in machine learning, data mining, information retrieval, statistics or natural language processing
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments
- Familiarity with AI-DLC 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.

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Skills and AI tools this role asks for

Prompt EngineeringAI AgentsAI EvaluationNlpAI SafetyBedrockSagemaker

Questions you could be asked

How do you structure and test a prompt to get consistent output from a language model?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you decide that one model's output is better than another's for a given task?
What NLP problem have you worked on, and how did you measure whether it actually worked?
How do you think about the risk of an AI system in this kind of role failing silently?

Adapt your resume

List these exact terms on your resume: Prompt Engineering, AI Agents, AI Evaluation, Nlp, and AI Safety. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.

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