Prin GTM SSA AIML UK Business Solutions Architect

3 days ago

London, Greater London, United Kingdom ENGINEERINGUK Full time

**About the Role**

We are seeking an experienced Cloud Solutions Architect to join our EMEA Go-To-Market team. As a key member of our team, you will be responsible for guiding customers in innovating, operationalizing, and building enterprise-grade platforms/solutions leveraging Generative AI/ML from proof-of-concept to production.

The ideal candidate will have multiple years of hands-on experience with AI/ML or related technology domains, as well as experience with Python to analyze datasets, train, evaluate, deploy, and optimize models. You should also have a deep understanding of Generative AI models, including their strengths, limitations, risk, and evaluation techniques.

In this role, you will develop technical assets (reference architectures, whitepapers, workshops, demos, solutions, blog posts, field enablement) that can be used by AWS teams, partners, and customers to demonstrate Generative AI/ML capabilities and how to operationalize their workloads. You will also engage with AWS product teams to influence product roadmap and vision and accelerating the adoption of ML across customers in the region.

**Key Responsibilities**

  • Develop and maintain strong relationships with senior ML Engineers and Data Scientists at customers, partners, and AWS service teams.
  • Guide customers in designing and implementing distributed applications, managing technical customer-facing resources, and building ML/data pipelines, data engineering, or similar technologies.
  • Collaborate with GTM colleagues to provide technical insights into GTM strategy and support field marketing to execute local technical events, campaigns, and customer engagements.

**What We Offer**

  • A competitive salary of £120,000 - £180,000 per annum, depending on experience.
  • A comprehensive benefits package, including health insurance, retirement plan, and generous paid time off.
  • Opportunities for professional growth and development, including training, mentorship, and career advancement.
  • A dynamic and inclusive work environment, with a focus on diversity, equity, and inclusion.

**Requirements**

  • Multiple years of design/implementation/consulting experience of distributed applications.
  • Multiple years management of technical, customer-facing resources.
  • Multiple years of hands-on experience with AI/ML or related technology domain.
  • Multiple years of hands-on experience with building ML/data pipelines, data engineering, or similar technologies.
  • Multiple years of experience with Python to analyze datasets, train, evaluate, deploy, and optimize models.

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