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Amazon Senior Gen AI Solution Architect GSI ITeS 
India, Karnataka, Bengaluru 
836537014

20.11.2024
DESCRIPTION

Sales, Marketing and Global Services (SMGS)Being a thought leader who creates and presents content you’ll help all of our customers scale and grow in non-linear ways, using AWS as their building blocks.You will test traditional thinking by pushing the boundaries for your customers and AWS to dream and deliver beyond what they think is possible.
Key job responsibilities
Key Job Responsibilities :.Work directly with customers to accelerate AI/ML and Generative AI requirements by recommending best-practice solutions and architectures in line with their long-term business needs
• Scope and own AI/ML and Gen AI customer engagements, with attention towards clear and well-defined objectives and success criteria.• Work backwards from your customer's business needs to accelerate adoption of the most appropriate AWS technology
• Define and execute on the strategy by engaging highly technical teams (Specialist Solutions Architects, Technical Account Managers, AWS professional services consultants and consulting/managed services partners).
• Act as a thought leader in AI/ML and Gen AI space in the wider community, playing a key role in educating, sharing best practices, presenting at events, writing white papers, blogs, and running workshops.
• Share the voice of the customer to influence the roadmap of new features and services for the AWS platform especially in the AI/ML and GEn AI space. Proactively work within the organisation to influence the evolution of the platform.
• Serve as a key technical member of the Solutions Architecture team through influencing decision makers across multiple domains to ensure customer success in building applications and services on the AWS platform which align to long-term business goalsBasic Qualifications:
• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 7+ years of IT development or implementation/consulting in the software or Internet industries experience
• 3+ years of experience in designing , building and integrating AI/ML solutions
• Knowledge of Generative AI concepts and experience in designing and building solutions
• Hands On experience building solutions on cloud preferably using AI/ML and generative AI servicesPreferred qualifications
• 5+ years of infrastructure architecture, database architecture and networking experience
• Knowledge of AWS AI/ML and Generative AI servicesA day in the life
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.

BASIC QUALIFICATIONS

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


PREFERRED QUALIFICATIONS

- 5+ years of infrastructure architecture, database architecture and networking experience
- Knowledge of SAP systems (like SAP Business Suite, S/4HANA, SAP Business Warehouse, SAP HANA, SAP Business Objects, etc.) and their architecture and infrastructure needs
- Experience working with end user or developer communities