דרושים Senior Solutions Architect Data Analytics Ai Specialist Team ב-אמזון ב-Canada, Old Toronto

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 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, 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.

• 2+ years implementing cloud architecture
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• 2+ years implementing Data platforms
• Hands on experience with building data or machine learning pipeline
• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

Key job responsibilities
What you'll do:
- Be the primary quality representative for supplier quality activities
- Perform First Article Inspections (FAI) to make sure samples comply with drawings and specifications prior to production start or after any changes
- Own implementation, validation and continuous monitoring of supplier’s IQC, IPQC and OQC to ensure proper process FMEA, quality control plans, SOPs, SIPs, operator/inspector training, equipment and documentation are implemented and followed
- Determine strategies for continuous improvement in supplier quality and supply chain metrics.
- Manage supplier's corrective actions system (investigation, documentation and implementation of corrective action and the verification of their effectiveness)
- Conduct supplier audits including new supplier selection and regular process/product audits to existing suppliers, and effectively drive findings closures by proposing and implementing necessary CAPA- Take lead process capability assessment, measurement system analysis, MSOP & correlation and SPC implementations at supplier site
- Initialize the review and approval for supplier PPAP
- Contribute to final product release activities in accordance with established procedures, production schedules and gate exit requirements
- Develop and prepare documentation, post reports, drive quality metrics and communication- Track issue and task progresses in JIRA and understand BOM components, layout and drawings with a PLM system (i.e. Arena, Agile, etc.)A day in the life
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 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

- Bachelor's degree in electrical or mechanical engineering, engineering technology or equivalent
- 5+ years of manufacturing, process, industrial engineering experience
- Experience demonstrating problem solving and root cause analysis
- In-depth understanding and implementation experiences in APQP, FMEA, SPC & Process capability, MSA, PPAP, DOE, data analysis, hypothesis testing etc.
- Excellent English communication skills and interactions with suppliers and customers, both written and verbal

- Travel up to 50% of the time
- Experience writing technical documents, project plans and progress reports to leadership and to stakeholders
- Certified QMS lead auditor
- Solid experience in SMT, DIP, FATP, FPC/FPCA and surface treatment process
- Good understanding of GD&T and experience of applying different measurement tools, techniques and gage/fixture design
- Experience of tooling design, tooling engineer and molding process engineer will be a plus
- Experience of reliability testing will be a plus

Key job responsibilities
Leadership & People Management* Lead, mentor, and grow a high-performing team of Startup Solutions Architects across Canada.
* Set technical priorities, coach on career development, and create a culture of builder-first, hands-on engagement with startups.
* Ensure consistent execution of technical depth and startup empathy across the team.
* Partner closely with Canadian startup account managers, BD teams, and ecosystem programs (VCs, accelerators, incubators).Regional Technical Strategy* Develop and execute the technical engagement strategy for Canada’s startup ecosystem.
* Tailor global mechanisms to Canadian needs, with emphasis on GenAI, data strategy, and regulated industries.
* Represent AWS in Canada’s startup and research communities, building relationships with universities, accelerators, and industry groups.
* Provide input to global SA leadership on trends emerging from Canada (AI/ML, fintech, climate tech).Hands-On Technical Leadership* While primarily a manager, stay hands-on enough to maintain credibility with founders and CTOs.
* Guide startups on cloud-native architectures, Kubernetes/EKS, DevOps/SRE practices, and serverless-first design.
* Provide expertise on GenAI workloads: foundation model usage, training/fine-tuning, inference scaling, and cost optimization.
* Advise on data strategy: proprietary data as a moat, data labeling, pipelines, compliance (especially PIPEDA in Canada), and ML readiness.Scaling & Mechanism Building* Drive creation of reference architectures, reusable assets, and enablement programs that scale across the Canada SA org.
* Build technical enablement programs for Canadian founders, including workshops on cloud-native, AI/ML, and data foundations.
* Partner with Canadian accelerators (Creative Destruction Lab, NextAI, Communitech, etc.) to deliver impactful technical programming

- 10+ years of management of technical, enterprise customer facing resources or equivalent experience
- 10+ years of infrastructure architecture, database architecture and networking experience
- Bachelor's degree
- Experience architecting/operating solutions built on any cloud service provider like Azure, AWS, GCP, OCI, etc.

- Strong familiarity with Canada’s startup ecosystem, including government programs (IRAP, SR&ED), AI research hubs, and local funding dynamics.

Key job responsibilities
- Research and implement the state-of-the-art computer vision and machine learning methods to deliver high-quality artifacts that meets product specifications.
- Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and gap analysis.
- Provide technical leadership and research new machine learning approaches to drive continued scientific innovation.

- 3+ years of building models for business application experience
- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- Experience in patents or publications at top-tier peer-reviewed conferences or journals
- Experience programming in Java, C++, Python or related language

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 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, 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.

• 2+ years implementing cloud architecture
• Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience
• 2+ years experience with one of the following programming languages/technologies: Java, Python, Ruby, Node.js, C, or C++

• AWS experience preferred, with proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
• Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences
• 2+ years implementing Data platforms
• Hands on experience with building data or machine learning pipeline
• Experience with one or more relevant tools (SQL, PostgreSQL, Data lake, DynamoDB, Hadoop)

As a Software Development Engineer (SDE) intern, you'll take everything you've learned in the classroom and apply it to projects that impact millions of customers worldwide. Instead of theoretical assignments, you'll build real features that customers use every day. You'll work alongside experienced engineers who are invested in your success, sharing their knowledge and helping you grow. The code you write won't be graded and forgotten - it will run in production, serving real customers across the globe. This is your chance to learn how to scale applications beyond anything you've tackled in your coursework.
Key job responsibilities
• Collaborate and communicate effectively with experienced cross-disciplinary Amazonians to design, build, and operate innovative products and services that delight our customers, while participating in technical discussions to drive solutions forward.
• Design and develop scalable solutions using cloud-native architectures and microservices in a large distributed computing environment.
• Participate in code reviews and contribute to technical documentation.
• Build and maintain resilient distributed systems that are scalable, fault-tolerant, and cost-effective.
• Leverage and contribute to the development of GenAI and AI-powered tools to enhance development productivity while staying current with emerging technologies.
• Write clean, maintainable code following best practices and design patterns.
• Work in an agile environment practicing CI/CD principles while participating in operational responsibilities including on-call duties.
• Demonstrate operational excellence through monitoring, troubleshooting, and resolving production issues.
A day in the life
As an intern, you will be matched to a manager and a mentor and will have the opportunity to influence the evolution of Amazon technology and lead critical projects early in your career.

- Are 18 years of age or older
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design
- Experience with AI/ML technologies
- Are enrolled in a Bachelor's degree or above in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related STEM fields, with an expected graduation date after October 2026

- Experience communicating technical concepts and processes using clear, simple language and visuals
- Experience in GenAI and Agent service development using LLM/VLM.
- Previous technical internship(s) or demonstrated project experience
- Strong problem-solving and analytical skills
- Demonstrated ability to learn and adapt to new technologies quickly
- Basic understanding of software development lifecycle (SDLC)

As an Applied Scientist, you will work with talented peers pushing the frontier of computer vision and machine learning technology to deliver the best experience for our neighbors.This is a great opportunity for you to innovate in this space by developing highly optimized algorithms that will work at scale. This position requires experience with developing Multi-modal LLMs and/or Vision Language Models. You will collaborate with different Amazon teams to make informed decisions on the best practices in machine learning to build highly-optimized integrated hardware and software platforms.Key job responsibilities
- Participate in the design, development, evaluation, deployment and updating of data-driven models for computer vision applications.- Research and implement the state-of-the-art computer vision and Vision Language models algorithms.- Influence system design and product vision by making informed decisions on the selection of technology, data sources, algorithms, and sensors.

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building machine learning models or developing algorithms for business application experience
- Experience programming in Java, C++, Python or related language
- Have publications at top-tier peer-reviewed conferences or journals