Sr Solutions Architect Strategic Accounts jobs at Amazon in United States, Mountain View

Key job responsibilities

- PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience
- 1+ years of building models for business application experience
- Experience programming in Java, C++, Python or related language

- PhD in computer science, machine learning, engineering, or related fields
- Experience with deep learning libraries such as PyTorch, TensorFlow, MxNet Research publications in computer vision, deep learning or machine learning at peer-reviewed workshops, conferences or journals
- Experience with learning multi-modal LLMs and Gen AI in Computer Vision, both in the image and video domains

Key job responsibilities
Key job responsibilities
• Bring alignment between customer’s technologists and business leads; help them to explore the art of the possible with generative AI and machine learning, and to develop a roadmap to deliver business value in the most effective way
• Discuss complex industry-specific business concepts with executives, line managers and technologists
• Engage with various AWS teams, including applied scientists, solutions architects, business development, marketing, industry specialists, partners and regional organizations
• Drive large, complex sales opportunities from ideation, through vision building and scoping, all the way to closure and into delivery
• Conduct workshop sessions to identify opportunities with our customers to scope how they could deliver business value through the use of generative AI or machine learning
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
Work/Life BalanceMentorship 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.AWS Global Services

- Bachelor's degree in computer science, engineering, mathematics or equivalent
- 5+ years of experience in the industry as a ML practitioner or executive
- Experience participating in the sales lifecycle (directly or indirectly)
- Experience in management consulting or related work
- Experience launching technically complex programs, projects, or related work that include the following: big data, analytics, artificial intelligence, and machine learning

As a member of the Specialist SA team in WWSO, you will serve as a trusted technical advisor and subject matter expert for Amazon OpenSearch, helping customers architect scalable, secure, and performant search, analytics solutions. You'll collaborate with solution architects, product teams, and sales to deliver strategic guidance, deep technical expertise, and thought leadership in areas like semantic search, observability, and large-scale log analytics. Whether it's advising startups on search architecture, observability, and security solutions, or helping enterprises integrate OpenSearch with GenAI workflows, you'll play a key role in accelerating customer innovation.
Key job responsibilitiesDiverse 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

- 10+ years of IT development or implementation/consulting in the software or Internet industries experience
- 5+ years of design, implementation, or consulting in applications and infrastructures experience
- 5+ years of experience in modern Search technologies (including OpenSearch, Solr, Elasticsearch, Lucene, etc. )

- Experience working with end user or developer communities
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Bachelor's degree
- Experience in designing and operating search and analytics solutions in on-premise or Cloud

You will work directly with customers and innovate in a fast-paced organization that contributes to game-changing projects and technologies. You will design and run experiments, research new algorithms, and find new ways of optimizing risk, profitability, and customer experience.We’re looking for top architects, system and software engineers capable of using ML, Generative AI and other techniques to design, evangelize, implement and fine tune state-of-the-art solutions for never-before-solved problems.
Key job responsibilities
As a Deep Learning Architect, you willDiverse 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
Work/Life BalanceMentorship 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.AWS Global Services

- Bachelor of Science degree in Computer Science, or related technical, math, or scientific field (or equivalent experience)
- 5+ years of experience in designing, building, and/or operating cloud solutions in a production environment
- 4+ years experience hosting and deploying ML solutions (e.g., for training, fine tuning, and inference)
- 4+ years of hands on experience with Python to build, train, and evaluate models
- 4+ years of technical client engagement experience

- Masters or PhD degree in computer science, or related technical, math, or scientific field
- 3+ years experience working with deep learning, machine learning, generative AI, or statistics
- Experience building generative AI applications on AWS using services such as Amazon Bedrock and Amazon SageMaker.
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
- Experience building cloud solutions with AWSPursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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 Computer Science, Math, or related discipline, and 7+ years of equivalent work experience or 9+ years of related work experience.
- 7+ years of technical engineering experience
- Experience in Information Technology operations

You will work on diverse problem domains : 5G network Cloudification, digital customer journeys and Omni channel CX, OSS/BSS transformation, AI/ML infusion to accelerate top and bottom line perforamance. At your disposal will be the full breadth of AWS cloud services including Compute, Networking, GenAI, ML, Edge, Analytics and Storage etc.

- 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

You will work on diverse problem domains : 5G network Cloudification, digital customer journeys and Omni channel CX, OSS/BSS transformation, AI/ML infusion to accelerate top and bottom line perforamance. At your disposal will be the full breadth of AWS cloud services including Compute, Networking, GenAI, ML, Edge, Analytics and Storage etc.

- 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