Jobs in India

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant to join our team at Amazon Web Services (AWS). In this role youll work closely with customers to design implement and manage AWS solutions that meet their technical requirements and business objectives. Youll be a key player in driving customer success through their cloud journey providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services as a Delivery Consultant you will be proficient in architecting complex scalable and secure solutions tailored to meet the specific needs of each customer. Youll work closely with stakeholders to gather requirements assess current infrastructure and propose effective migration strategies to AWS. As trusted advisors to our customers providing guidance on industry trends emerging technologies and innovative solutions you will be responsible for leading the implementation process ensuring adherence to best practices optimizing performance and managing risks throughout the project.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices which cover a variety of solutions technologies and industries.

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Key job responsibilities

As an experienced technology professional you will be responsible for :

Designing and implementing complex scalable and secure AWS solutions tailored to customer needs

Providing technical guidance and troubleshooting support throughout project delivery

Collaborating with stakeholders to gather requirements and propose effective migration strategies

Acting as a trusted advisor to customers on industry trends and emerging technologies

Sharing knowledge within the organization through mentoring training and creating reusable artifacts

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 hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

Why AWS Amazon Web Services (AWS) is the worlds most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating thats 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 its in our nature to learn and be curious. Our employeeled 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 (gender diversity) conferences inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth Were continuously raising our performance bar as we strive to become Earths Best Employer. Thats why youll find endless knowledgesharing mentorship and other careeradvancing resources here to help you develop into a betterrounded professional.

Work / Life Balance We value worklife 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 theres nothing we cant achieve in the cloud.

Experience in cloud architecture and implementation

Bachelors degree in Computer Science Engineering related field or equivalent experience

Proven track record in designing and developing endtoend Machine Learning and Generative AI solutions from conception to deployment

Experience in applying best practices and evaluating alternative and complementary ML and foundational models suitable for given business contexts

Foundational knowledge of data modeling principles statistical analysis methodologies and demonstrated ability to extract meaningful insights from complex largescale datasets

Experience in mentoring junior team members and guiding them on machine learning and data modeling applications

AWS experience preferred with proficiency in a wide range of AWS services (e.g. Bedrock SageMaker EC2 S3 Lambda IAM VPC CloudFormation)

AWS Professional level certifications (e.g. Machine Learning Speciality Machine Learning Engineer Associate Solutions Architect Professional) preferred

Experience with automation and scripting (e.g. Terraform Python)

Knowledge of security and compliance standards (e.g. HIPAA GDPR)

Strong communication skills with the ability to explain technical concepts to both technical and nontechnical audiences

Experience in developing and optimizing foundation models (LLMs) including finetuning continuous training small language model development and implementation of Agentic AI systems

Experience in developing and deploying endtoend machine learning and deep learning 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 for more information. If the country / region youre applying in isnt listed please contact your Recruiting Partner.

Required Experience :

Contract

Key Skills

Close Protection,Credit Control,Customer Service,Government,Analytics

Employment Type : Full-Time

Experience : years

Vacancy : 1