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.
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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
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