Job Description

DESCRIPTIONAs an Amazon Web Services (AWS) Specialist Solutions Architect (SSA) in AWS Industries India segment you are responsible for partnering with our most valuable customers to design cloud architectures utilizing AWS services. You have technical depth, business aptitude, and the ability to lead in-depth technology discussions, articulating the business value of the AWS platform and services. Effective communication and interpersonal skills are required for engaging and influence Enterprise Architects, Technical Architects, Cloud Architects, Directors, VP's and CXOs.AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.AIML and GenAI Specialist Solutions Architects combine technical skills in AIML, GenAI and business acumen. They are focused on supporting customers throughout the engagement lifecycle and work closely with the account teams teams and other teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster.Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community committed to being Earth's Best Employer.Key job responsibilities

• Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.

• Architect solutions leveraging AWS machine learning, AI and Generative AI specific services, working closely with customers to deeply understand their business needs and design technical solutions that optimize the use of the AWS Cloud platform and AI/ML Services.

• Develop and support an internal AWS community of AI/ML Subject Matter Experts, fostering knowledge-sharing and collaboration.

• Become a trusted advisor within customer accounts through Technical Thought Leadership.

• Collaborate with Account team and lead to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.

*Create field enablement materials for the internal and external tech community.About the team
About AWSDiverse 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?
Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.Inclusive Team Culture
Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.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
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.BASIC QUALIFICATIONS- 5+ years of technology domain experience in Data Science, LLM, Machine Learning, Artificial Intelligence, and Generative AI related fields.
- 2+ years of experience in ML-Ops and ML solution production deployments.
- 5 + years of experience as enterprise/cloud architect including experience in data processing and analytics workloads.
- Hands-on experience with machine learning algorithms, model development, common frameworks, workflow tools, and applied AI.PREFERRED QUALIFICATIONS- 7+ years design & implementation experience with large distributed applications
- 5+ years of experience in core disciplines like AIML, Generative AI and Data Science.
- Professional experience architecting, operating cloud-based solutions / or pre-sales consulting.
- Certification - AWS Certified Machine Learning - Specialty
- Working knowledge of software development tools and methodologies.
- Presentation skills with a high degree of comfort speaking with executives, IT Management, and developers
- Experience with a programming or scripting language.
- Able to adapt to new technologies, learn quickly, and manage high ambiguity.Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

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