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

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

Job summary

A leading cloud services provider seeks a Sr. Solutions Architect specializing in Generative AI and Machine Learning. This role involves collaborating with customers to solve complex challenges, leading architectural discussions, and providing technical expertise to drive innovation. The ideal candidate will have extensive experience in technology domains and a passion for mentoring and customer success.

Benefits

Mentorship & Career Growth

Work/Life Balance

Qualifications

• 8+ years in technology domains like software development, cloud computing.
• 10+ years in IT development or consulting in software/Internet industries.

Responsibilities

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

Skills

Generative AI

Machine Learning

Cloud Computing

Systems Engineering

Data & Analytics

Education

Cloud Technology Certification

Job description

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

Job ID: 2977247 | Amazon Web Services Colombia S.A.S.

AWS GenAI/ML Specialist Solutions Architects (SA) are technologists with deep domain-specific expertise who works 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 ground-breaking 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 on their behalf 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 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 that are building mission-critical applications on top of AWS services.

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

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.

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
- 10+ 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
- 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 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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