Delivery Consultant- Genai/ml Aws Industries jobs at Amazon in United States, Irvine

Your broad responsibilities will include: owning the technical engagement and ultimate success around specific implementation projects, and developing a deep expertise in the AWS technologies as well as broad know-how around how applications and services are constructed using the AWS platform.Key job responsibilities
· Scope each customer engagement, with attention towards clear and well-defined objectives and success criteria.· Own each technical engagement, and help ensure a timely and successful delivery of value. (delivery of actual solutions to be done by AWS partners)· Capture and share best-practice knowledge amongst the solution architect community.· Understand the AWS market segments, customer base, and industry verticals.About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.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

- 4+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
- 2+ years of design, implementation, or consulting in applications and infrastructures experience
- 10+ years of IT development or implementation/consulting in the software or Internet industries experience

Key job responsibilities:• Contribute to the design and development of AI services in cloud environments (AWS), with a focus on implementing novel applications• Assist in the technical implementation of ML systems, including model training pipelines and inference services• Help identify and evaluate new AI/ML technologies, assessing their potential applications for Ring products• Work collaboratively with cross-functional teams including Data Scientists, Product Managers, and other ML Engineers to implement AI-driven features• Apply and help improve MLOps practices, including techniques for efficient experimentation and transition to production• Actively participate in code reviews and contribute to improving the overall quality of the team's codebase• Provide input on both software engineering and machine learning best practices within the team• Assist in the operation and monitoring of experimental ML services as they transition to production environments• Stay current with AI/ML advancements and share knowledge with the team• Contribute to the documentation of systems and processes

- 3+ years of non-internship professional software development experience
- 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience programming with at least one software programming language

- 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

Key job responsibilities
• Lead a team of solutions architects focused on insurance-specific solutions, ensuring delivery of mission-critical platforms that meet strict regulatory requirements
• Partner with leaders at insurance carriers to architect secure, compliant cloud solutions for policy administration, claims processing, underwriting automation, and risk modeling
• Drive cloud adoption strategies addressing insurance-specific challenges, including regulatory reporting, actuarial computing, and data protection requirements
• Guide insurers through modernization of legacy systems while maintaining business continuity
• Help your team and our customers innovate, and influence AWS product roadmaps to enhance support for insurance workloads and compliance needs.
AWS 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.Mentorship & Career GrowthWe’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 BalanceThe team operates at the intersection of business and technology, and we're committed to pushing the boundaries of what's possible in insurance, fostering innovation while ensuring compliance with complex regulatory requirements.

- 10+ years of enterprise IT application work that includes at least 2 years of hands-on software development or DevOps engineering experience
- 2+ years of architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc. experience
- 8+ years of technology solutions development and evangelising end-to-end technology roadmaps that guide IT transformations toward cloud computing experience
- Bachelor's degree
- Experience leading and growing teams of senior technology professionals, ideally in customer facing roles

- Experience architecting, migrating, transforming or modernizing customer requirements to the cloud

Key job responsibilities:• Lead the design and development of AI/ML services in cloud environments (AWS), focusing on novel applications and emerging technologies• Drive the technical direction and architecture of experimental and large-scale ML systems, including advanced model training pipelines and high-performance inference services• Identify and evaluate new AI/ML technologies and methodologies, assessing their potential to create breakthrough features for Ring products• Collaborate closely with cross-functional teams including Data Scientists, Product Managers, ML Engineers, and leadership to identify new AI-driven opportunities and translate them into tangible prototypes and products• Establish and implement best practices for MLOps in a pioneering environment, including techniques for rapid prototyping, efficient experimentation, and seamless transition to production• Mentor team members in advanced ML engineering practices; foster a culture of innovation and continuous learning within the Pioneer Team• Provide thought leadership in both software engineering and machine learning, influencing the direction of Ring's AI strategy• Drive the operational excellence of experimental ML services as they transition to large-scale production environments• Stay at the up to date on AI/ML advancements, actively participating in the wider AI community and bringing external innovations into Ring's technology stack

- 5+ years of non-internship professional software development experience
- 5+ years of programming with at least one software programming language experience
- 5+ years of leading design or architecture (design patterns, reliability and scaling) of new and existing systems experience
- Experience as a mentor, tech lead or leading an engineering team

- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Bachelor's degree in computer science or equivalent

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, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll 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. You’ll 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.
Key job responsibilities
As an experienced technology professional, you will be responsible for:
1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
2. Providing technical guidance and troubleshooting support throughout project delivery
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifactsAbout 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.
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.

- 3+ years of experience in cloud architecture and implementation
- Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
- 5+ years of large-scale software development or application engineering with recent coding experience in two or more of the following languages: React/ReactJS, Java/Kotlin, JavaScript, Python, C/C++, C#, Objective-C, Node.js, .NET, PHP or Ruby
- Experience with Continuous Integration and Continuous Delivery (CI/CD) using industry standard tooling
- Exposure to Agile and Waterfall development methodologies

- AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer 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 non-technical audiences
- Strong practical application development experience on Linux and Windows-based systems
- Work experience in any of the industries such as Financial Services Industry (Banking, Capital Markets, Payments, Insurance, or other segments), Automotive, Telecommunications, Health Care & Life Sciences, Energy, Media & Entertainment, Manufacturing.

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. You’ll 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.
Key job responsibilities
As an experienced technology professional, you will be responsible for:- Providing technical guidance and implementation support throughout project delivery, with a focus on using AWS AI/ML services
- Collaborating with customer stakeholders to gather requirements and propose effective model training, building, and deployment strategies- Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
About the team
About AWS:
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.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.

- Experience developing software code in one or more programming languages (java, python, etc.)
- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 3+ years of cloud based solution (AWS or equivalent), system, network and operating system experience
- 2+ years of experience hosting and deploying GenAI/ML solutions (e.g., for training, fine tuning, and inferences)

- AWS Experience preferred, with a proficiency in a wide range of AWS services (e.g. SageMaker, Bedrock, EMR, S3, OpenSearch Service, Step Functions, Lambda, and EC2)
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer 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 non-technical audiences
- Masters or PhD degree in computer science, or related technical, math, or scientific field
- Hands on experience with deep learning (e.g., CNN, RNN, LSTM, Transformer), machine learning, CV, GNN, or distributed training

Key job responsibilities
Define, build and deploy enterprise focused sales and specialist campaigns around the AWS Support Operational services offering;
Exhibit cloud managed services expertise and experienced handling and scaling sales campaigns with enterprises and enterprise partners;Serve as an evangelist for the new service within AWS, and externallyEstablish metrics to measure and track related to adoption of the service, and field seller awareness with a continual focus on improving the approach based on those measurements.Bachelor's degree in Business, Computer Science, or related field. MBA preferredA day in the lifeMentorship & 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
Sales, Marketing and Global Services (SMGS)

- 5+ years of developing, negotiating and executing business agreements experience
- 5+ years of professional or military experience
- Bachelor's degree
- Experience managing programs across cross functional teams, building processes and coordinating release schedules