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.
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
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.
