Sr Ww Specialist Solutions Architect Ec2 Networking jobs at Amazon in United States

You will maintain an in-depth knowledge of AWS's Generative AI services and relevant cross-functional areas to build strong relationships with field teams, and customers. By driving the adoption of Generative AI technologies, you will play a pivotal role in propelling AWS's revenue growth while helping customers stay ahead of the curve in a rapidly evolving technological landscape. You exercise learn & be curious to articulate AWS’ Gen AI strategy and the services we offer to accelerate adoption. You conduct compelling executive conversations on the transformational possibilities of generative AI and data, while also being capable of helping our customers navigate which features to apply for their use-cases. You can describe the “why” and “what” of generative AI use case and technical solutions at a 200-level, with the detailed “how” being provided by solution architects.
Key job responsibilities
Strategic customer engagement:
Adoption program development:
- As an adoption expert, create and maintain best practices documentation, implementation guides, and training materials to be applied across multiple service domains.
- Track and analyze adoption metrics to measure effectiveness and identify areas for improvement.
- Develop governance frameworks for sustainable adoption at scale across domains.
Customer success management:
Product feedback loop:
- Collect and communicate customer feedback, insights, and requirements to Go-To-Market teams.Diverse ExperiencesAmazon 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.Work/Life BalanceMentorship and 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.

- Bachelor’s degree in Computer Science, Engineering, Math, or a related field or 5 years of product management or go-to-market, or sales experience.
- 5+ years of GenerativeAI / AI / ML.
- 10+ years in the technology industry focused on customer success or in go-to-market roles, or management consulting serving high-tech clients on go-to-market topics
- Experience engaging and influencing senior customer executives, technologists and/or partners to solve complex business problems with advanced technologies
- Ability to travel up to 15% as needed

- Experience in AWS cloud computing or SaaS, ideal if experience is in GenAI/AI.
- MBA or advanced degree in AI/ML.
- Effective at communicating complex technological solutions to diverse audiences and building strong internal and external brand presence.Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

You: As a Sr. Machine Learning Compiler Engineer III on the AWS Neuron team, you will be a thought leader supporting the ground-up development and scaling of a compiler to handle the world's largest ML workloads. Architecting and implementing business-critical features, publish cutting-edge research, and mentoring a brilliant team of experienced engineers excites and challenges you. You will leverage your technical communications skill as a hands-on partner to AWS ML services teams and you will be involved in pre-silicon design, bringing new products/features to market, and many other exciting projects. A background in Machine Learning and AI accelerators is preferred, but not required.Work/Life Balance
Mentorship & Career Growth

- 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
- 5+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
- Experience as a mentor, tech lead or leading an engineering team

- Bachelor's degree in computer science or equivalent

Key job responsibilities
• Office hours duty in data center operations
• Capacity landing and decommissioning according to process guideline
• Run rack to rack cabling include fiber and copper cables upon Amazon standards.
• Rack cabling coordination and quality control
• Innovate and contribute from day to day operation experiences to improve operation efficiency
• Maintain proper media operations according to process guideline
• Site management and maintain tidiness in operation areas
• Assist Hardware Break-fix and troubleshooting according to process guideline
A day in the life
You will experience a typical day of DCO in Amazon with
• Take ownership of technical issues, utilizing cross-team collaboration when needed to drive resolution
• strive for operations excellence and innovate improvement ideas
• Use ticket system to prioritize and track the installation, diagnosis, and hardware or network issues
• Maintain service level agreements through the rapid response to emergency issuesReasons you will love working in an Amazon Data Center:
• Diverse and inclusive culture
• Professional development opportunity through hands-on training and learning on wide variety of systems, career advancement within AWS Data Center
• Ability to have high degree of ownership to innovate and scale ideas across Amazon Data Centers world-wide
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.
Why AWS?Inclusive Team CultureMentorship & 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

- 1+ years of computer hardware experience, including troubleshooting and repairing experience
- Bachelor's degree in IT, computer science or equivalent
- Knowledge of network cabling, optic types, and test equipment

- 1+ years of data center experience
- Experience with fiber optic and copper cabling standards, testing equipment & troubleshooting methodologies
- Experience summarizing and communicating important data

About Sponsored Products and BrandsKey job responsibilities
As a Software Development Engineer in Machine Learning, you will:
* Enhance the scalability, automation, and efficiency of large-scale training and real-time inference systems.
* Pioneer the development of LLM inference infrastructure to support next-generation GenAI workloads at Amazon Ads scale.
* Work closely with applied scientists to optimize the performance of machine-learning models and infrastructure, and implement end-to-end solutions.

- 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

Key job responsibilities
• Diving deep into customer segment needs and goals to develop targeted enablement strategies
• Collaborating with field sales teams to understand and address customer challenges
• Leading consultative teams that drive cloud adoption and innovation across global customers
• Through close partnership with Strategy and Operations teams, designing both customized and standardized solutions that accelerate our customers' cultural and technological transformation.
• Taking ownership of all programmatic activities for customer engagements including planning, reporting and risk mitigation
• Crafting monthly and quarterly business reviews to AWS leadership to surface key business insightsA day in the life
In this role, you'll be instrumental in helping organizations navigate their cloud journey by developing and implementing comprehensive training and enablement solutions that drive meaningful business outcomes.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

- 10+ years of building and leading large teams and working in matrixed operating structures experience
- Bachelor's degree or equivalent
- Experience working and communicating with multiple stakeholders, C-level executives and cross functional teams or equivalent
- Experience in strategic thinking about business, enterprise software products, and new technology platforms and architectures or equivalent

- 5+ years of managing and developing high performance teams experience

Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.
Key job responsibilities
As a senior systems development engineer, you will work with a wide variety of functional groups and will be involved in the design and implementation of software systems for phased array antennas validation and test, as well as overall system integration:- Develop tools for characterizing antenna RF and system performance.
- Develop software and test rack automation to support production test stations.
- Support electrical and software bring-up, debug of new hardware.- Plan, develop and implement environmental test activities for phased array antennas.
- Implement DSP FPGA firmware to map high-level algorithms from Matlab or C to architecture-specific code.

- BS or MS in electrical engineering, computer engineering or computer science, or equivalent experience
- 5+ years of experience with C/C++ and Python or other scripting languages. Experience automating, building, and testing systems
- Experience with HW/SW bring up and debugging
- Experience working in a hardware lab with oscilloscopes, signal generators, power supplies, and other test equipment

- Solid fundamental CS / EE skill set with hands-on industry or university experience in embedded software development
- Knowledge of FPGA systems, GPIO/I2C/SPI and peripheral interfacing.
- Experience with RTL and FPGA development tools
- Experience with Matlab or tools alike
- Knowledge of Database systems

We have ambitious vision to simplify full funnel advertising solutions, at scale, with specialized agentic AI-powered models and diversify the demand to strategic verticals including finserv, autos, locals.. etc.Key job responsibilities

- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses