Applied AI Architect, Partnerships

Applied AI Architect, Partnerships

Full-Time 165000 - 190000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Cultivate technical partnerships and develop innovative AI solutions with global cloud partners.
  • Company: Join a leading tech company focused on advancing safe AI systems.
  • Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
  • Other info: Exciting opportunities for mentorship and cross-organisational collaboration.
  • Why this job: Make an impact in the AI space while collaborating with top industry partners.
  • Qualifications: 5+ years in technical roles, strong communication skills, and experience with cloud architectures.

The predicted salary is between 165000 - 190000 £ per year.

As a Partners Solutions Architect on the Applied AI team at the company, you will be a Pre‑Sales architect focused on cultivating technical relationships with our Global and Regional System Integrators (GSIs/RSIs) and our cloud partners (AWS and GCP). You will strengthen our relationships with key partners to accelerate indirect revenue, enable their AI practices, and execute on long‑term GTM strategy.

Responsibilities

  • Strategic Technical Partnership: Be a technical thought partner to the company GTM partnerships team, providing technical expertise to better understand the partner landscape, driving key strategic programs, and identifying opportunities to deepen partner technical capabilities. Embed with GSI and cloud partner technical teams to enable their AI practices, support troubleshooting, evangelize the company in their developer communities, and serve as an escalation point for complex technical issues.
  • Joint Solution Development: Collaborate with partners to identify high value industry‑specific GenAI applications, develop joint solutions and codify reference architectures / best practices to accelerate time to deployment.
  • Customer Deal Support: Intervene directly to unblock strategic customer deals where partners are the primary delivery vehicle, providing deep technical expertise and solution architecture guidance.
  • Partner Ecosystem & Events: Represent the company at partner events such as GSI customer workshops, AWS summits, and industry conferences. Lead or support partner‑specific developer events, hackathons, and technical enablement sessions, especially for technically native communities.
  • Product Feedback: Validate and gather feedback on the company's products and offerings, especially as they relate to partner use cases and deployment patterns, and deliver this feedback to relevant the company teams to inform product roadmap and partner strategy.

Qualifications

  • 5+ years of experience in technical customer‑facing/partner‑facing roles such as Solutions Architect, Sales Engineer, Partner Sales Engineer, Technical Account Manager.
  • Track record of successfully partnering with GSIs and/or cloud providers to solve complex technical challenges, from initial solution design through customer delivery.
  • Exceptional ability to build relationships with and communicate technical concepts to diverse stakeholders to include C‑suite executives, engineering & IT teams, and more.
  • Strong presentation & technical communication skills with the ability to translate requirements between technical and business stakeholders.
  • Experience designing scalable cloud architectures and integrating with enterprise systems.
  • Familiarity with common LLM frameworks and tools or a background in machine learning or data science.
  • Excitement for engaging in cross‑organizational collaboration, working through trade‑offs, and balancing competing priorities.
  • A love of teaching, mentoring, and helping others succeed.
  • Passion for thinking creatively about how to use technology in a way that is safe and beneficial, and ultimately furthers the goal of advancing safe AI systems.

Annual Salary £165,000 – £190,000 GBP

Logistics

  • Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience.
  • Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience.
  • Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position.
  • Location‑based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices.
  • Visa sponsorship: We do sponsor visas! However, we aren’t able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this.

Your safety matters to us. To protect yourself from potential scams, remember that the company recruiters only contact you from@the company.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of the company. Be cautious of emails from other domains. Legitimate the company recruiters will never ask for money, fees, or banking information before your first day. If you’re ever unsure about a communication, don’t click any links—visit the company.com/careers directly for confirmed position openings.

Applied AI Architect, Partnerships employer: United States Digital Space LLC

As an Applied AI Architect at our company, you will thrive in a dynamic work culture that prioritises innovation and collaboration. With a strong focus on employee growth, we offer extensive training opportunities and the chance to engage with leading cloud partners like AWS and GCP, all while working in a supportive environment that values your contributions. Our hybrid work policy ensures flexibility, allowing you to balance your professional and personal life effectively.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

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We think you need these skills to ace Applied AI Architect, Partnerships

Technical Partnership Development
Pre-Sales Architecture
Cloud Architecture Design
Machine Learning Familiarity
Data Science Background
Technical Communication Skills
Stakeholder Relationship Management

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