Sr. Solutions Architect, AGS North LATAM GenAI/ML Specialist SA

Amazon; London; On-site; GBP 80,000 - 120,000; Full time

Job summary

Amazon Web Services (AWS) is seeking a Sr. Solutions Architect specializing in Generative AI and Machine Learning. In this role, you will leverage your extensive experience to provide technical expertise, collaborate with various teams, and lead architectural initiatives. Join a company that values innovation and customer success while offering a supportive work environment focused on mentorship and career growth.

Qualifications

• 8+ years of experience in technology domains like software development and cloud computing.
• 3+ years of design or consulting experience in applications and infrastructures.
• Knowledge of software development tools and methodologies.

Responsibilities

• Provide deep technical expertise in Generative AI and Machine Learning.
• Collaborate with teams to solve complex customer challenges.
• Lead architectural reviews and workshops.

Skills

Cloud Computing

Machine Learning

Generative AI

Systems Engineering

Data & Analytics

Education

Cloud Technology Certification

Job description

Sr. Solutions Architect, AGS North LATAM GenAI/ML Specialist SA

AWS GenAI/ML Specialist Solutions Architects (SA) are technologists with deep domain-specific expertise who work directly with customers to solve their most complex challenges using Generative AI, Traditional AI, and Machine Learning. In this role, we contribute to account planning and architect GenAI and Machine Learning solutions for groundbreaking customer challenges, while running Proof-of-Concepts and exploring innovative solutions. We bring valuable customer data and insights to product teams, continuously enhancing the product roadmap.

AWS GenAI/ML Specialist SA excels when customers think big and require specialized expertise to innovate for their business. We are driven by the needs and priorities of our customers, inspiring both our team and product teams to innovate in this exciting, fast-paced field.

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest-growing small- and mid-market accounts to enterprise-level customers including the public sector. The AWS Global Support team interacts with leading companies and believes that world-class support is critical to customer success. AWS Support also partners with a global list of customers building mission-critical applications on top of AWS services.

Key job responsibilities

1. Provide customers with deep technical expertise in Generative AI, Traditional AI, and Machine Learning with AWS services to meet their business objectives.
2. Collaborate with specialists, sales, marketing, and product teams to ideate around your customers’ most challenging problems.
3. Act as a trusted advisor to line of business, AI, Data, and C-suite leaders.
4. Lead architectural reviews and workshops to advance your customer’s technical objectives.
5. Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures, and public-speaking events like AWS Summit, AWS re:Invent, etc. Participate as a leader in AWS technical communities.
6. Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud.
7. Provide data and anecdotes on what is working and what is not, back to the larger specialist community and product teams. Act as the primary point of contact for urgent customer issues in your technical specialty.

About the team

AWS Global Sales (AGS) drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and world-class support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud.

Why AWS?

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and continue to innovate — that’s why customers from successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

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 well-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.

- 8+ years of experience in specific technology domains (e.g., software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)

- 3+ years of design, implementation, or consulting in applications and infrastructures

- 10+ years of IT development or implementation/consulting in the software or Internet industries

- 5+ years of infrastructure architecture, database architecture, and networking experience

- Experience working with end-user or developer communities

- Knowledge of software development tools and methodologies

- Cloud Technology Certification (such as Solutions Architecture, Cloud Security Professional, or Cloud DevOps Engineering)

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need accommodation during the application and hiring 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.