דרושים Solutions Architect Ags-tech-apj-field Sa ב-אמזון ב-India, Bengaluru

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 BalanceKey job responsibilities
Building relationships to understand our customers and partners is key. As a trusted technical advisor, you’ll use your interpersonal skills to influence a variety of stakeholders from technical teams to executives. You’ll help ensure their short-term technology decisions are aligned with their long-term goals. Speeding up the adoption of our services will be part of your day to day.You’ll also act as thought leader in the wider community. This includes taking part in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops. You won’t just be part of an industry movement; you’ll be leading it.A day in the life
The Solutions Architect team at AWS is responsible for helping customers successfully implement cloud technologies. In a typical week you will meet multiple customers, and you will collaborate with them on designing and operating well-architected solutions. You will earn their trust and show them the art of the possible, educating them around the capabilities of AWS. Partnering with internal teams and experts, leveraging a deep knowledge of our tools and products, you’ll craft highly scalable, flexible, and resilient cloud architectures that address our customers’ business problems. As part of our team, you’ll have the opportunity to continuously learn and innovate daily.

- Bachelor's degree
- Background in any other following or related to Technology Architect, Consultant, Cloud Architect, Technical Lead, Engineering Lead, Systems Engineer etc.
- Experience and/or deeper understanding in one or more technology areas. Specific knowledge in multiple technology domain areas (e.g., software development/architecture, systems engineering, infrastructure, containers, databases, security, networking, data & analytics, AI/ML, GenAI).
- Have worked on design, development, implementation, or consulting applications / platforms in their prior experience
- Can create proof of concepts, demos, and/or scripts from scratch or leveraging reusable components.
- Understands and can articulate common architectural patterns and design principles.
- Able to create technical content that is easily adopted and reusable by others.
- Fluent communication skills.

- Experience architecting, migrating or transforming customer requirements to the cloud
- Professional experience architecting / operating solutions built on AWS or other cloud technology
- Experience migrating or transforming legacy customer solutions and/or applications to the cloud
- One or more AWS certifications, e.g. AWS Solutions Architect Professional
- Able to present to technical and business audiences (training, workshops, publications)
- 4 years’ experience as a Solution Architect or related role.

This is an ideal role for someone who has experience working for a global systems integrator, a large IT consulting firm, or a Fortune 1000 company. In this role, you will develop the technical capabilities of our Global Strategic Partners (GSPs) so they can be successful in the cloud. Working with these large partners is a team effort that will require influence and coordination with many stakeholders. You should possess both a technical background that enables you to engage at the VP/CXO level, as well as a sales background that enables you to easily interact with customers and account management/field reps/pre-sales architects. You should be just as comfortable talking modernization, Data & Generative AI, and migrations with partner executives, continuous deployment with the DevOps team, TCO with the CFO, and cloud strategy with the CIO. If you are a problem solver with a broad technical-skills, and have the ability to drive technical initiatives and cloud migration & modernization projects with the GSPs, you will enjoy this role.In this technical role, you will own the technical relationship and deliverables for a GSP, architect enterprise-grade AWS solutions, act as a trusted customer advisor to partner executives, lead white boarding sessions, author white papers and blog posts, develop and execute multi-day workshops, and respond to complex technical inquiries. As a Partner Solution Architect focused on Global Strategic Partners (GSPs), you will have the opportunity to help shape and deliver on a strategy to build mind share and drive broad adoption of the AWS platform across the partner community.Key job responsibilities
Technical leader and trusted adviser in the area of cloud computing for our partners
Own the technical relationship and deliverables for one or more Global Strategic Partners (GSPs)
Drive development of repeatable assets, solutions, products, and accelerators
Help manage and drive joint Strategic Deals between the partner and AWSA day in the life
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 or more years of related experience
- Technology Breadth: Experience with the AWS cloud, demonstrate architectural best practices applied across a breadth of technologies to solve organizational problems, articulate views/roadmaps for future development, and understand the interaction between infrastructure, operations, and development
- Technology Depth: Demonstrate detailed knowledge of concepts, implementation, patterns, and issues of at least four technology areas like Application migrations, Modernization, DevOps, containers / serverless / cloud-native development and design, IoT, Data Analytics, ML and Generative AI, Databases, Networking, Security
- Experience in writing technical content and strong communication skills, along with experience in a technical role within a sales organization

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 AWSDiverse 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 required
- 10+ years of experience as a contact center technology architect, enterprise IT Architect or senior contact center developer working with leading contact center technology platforms and applications, such as Avaya, Cisco, Genesys, Verint, NICE, Salesforce, etc.
- Hands-on technical practitioner and individual contributor
- Hands-on experience working on the design, development and deployment of contact center solutions at scale

- Computer Science, Information Systems, or Engineering background preferred; Master’s degree desired
- 10+ years of experience building call center / collaboration / telephony platforms in a Cloud or On-Premises environment, particularly building application integration capabilities for CRM/ WFM platforms
- Professional Services or Consulting experience in highly-visible customer-facing roles
- Familiarity with Amazon Connect capabilities, benefits, and required deployment skills
- Visible IT Industry thought leadership on relevant topics related to enterprise IT call centers and infrastructure.
- Enterprise call center / telecomm implementation and operations experience
- Experience implementing and optimizing AI-powered customer service solutions
- Experience with AI/ML technologies in contact center applications, including Natural Language Understanding (NLU), Natural Language Processing (NLP), prompt engineering, large language model implementation, chatbot development and optimization, and AI/ML model training and fine-tuning
- Serverless development experience including complex integrations with Amazon Lex, Lambda, Kinesis, Dynamo DB, Bedrock and 3rd party AI services
- Software Development / DevOps experience with integrating contact center platforms, CRMs, and WFMs
- Use of AWS services in distributed environments with Microsoft, IBM, Citrix, VMware, Oracle, HP, etc.
- Strong verbal and written communication skills, with the ability to work effectively across internal and external organizations
- Responsibility for designing, implementing and operating contact centers or telecommunication infrastructures within an enterprise environment
- AWS Certified Machine Learning Engineer – Associate, AWS Certified Machine Learning - Specialty and/or AWS Certified AI Practitioner

Key job responsibilitiesA day in the life· Build novel online & offline evaluation metrics an methodologies for personal digital assistants and customer scenarios, on multi-modal devices.
· innovate and deliver deep learning based innovation across life-cycle such as policy-based learning, international customer specific model performance tuning.
· Quickly experiment and setup experimentation framework for agile model and data analysis or A/B testing
· Contribute through industry first research to drive the innovation forward.

- 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 programming in Java, C++, Python or related language
- Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing

- Experience using Unix/Linux
- Experience in professional software development

and applications, enterprise application migrations, HPC amongst many others.
A day in the life
About AWSDiverse 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

- 7+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
- Experience developing software code in one or more programming languages (java, python, etc.)
- Strong verbal and written communication skills with stakeholders (Japanese language preferred along with English as second language)

- Experience implementing AWS services in a variety of distributed computing environments
- Experience in automation through devops scripting (e.g. shell, python, ruby, powershell)
- Experience with CloudFormation, Chef, Puppet, Salt, or Ansible in production environments

About Operation Technology Solutions (OTS)

- 5+ years of developing a team of technical professionals across multiple locations experience
- 2+ years of leading technology teams as a information technology operations manager experience
- Bachelor's degree, or 4+ years of professional or military experience
- Knowledge of Linux or Unix systems administration

- Knowledge of hardware architectures
- Experience with system management tools and client/server environments

Key Focus Areas:
• Developing AI-powered systems for automated product safety assessment and compliance verification
• Building intelligent catalog management solutions using natural language processing and computer vision
• Creating generative AI tools to enhance seller safety and compliance processes
• Designing scalable architectures that combine traditional services with AI/ML capabilitiesThe Ideal Candidate Will Have:
• Strong software engineering fundamentals and experience with distributed systems
• Knowledge of machine learning frameworks and generative AI technologies (e.g., transformers, LLMs)
• Experience with AI model deployment, optimization, and monitoring in production environments
• Ability to tackle complex problems through data-driven experimentation
What We Offer:
• Opportunity to work with state-of-the-art AI technologies and shape their application in e-commerce
• Exposure to global markets and diverse technical challenges
• Full-stack development experience across AI and traditional systems
• Collaboration with international teams of applied scientists, engineers, and product managers
• Innovation-focused environment with emphasis on continuous learning and experimentation
Key job responsibilities• Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
• Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
• Build distributed storage, index, and query systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
• Design and code the right solutions starting with broadly defined problems.
• Work in an agile environment to deliver high-quality software

- 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