updated 14 days ago
Solutions Architect (AI)
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Job description
Text:
TL;DR
Solutions Architect (AI): Shaping scalable, production-ready cloud solutions from product discovery through delivery, with an accent on AWS, APIs, distributed systems, and AI-first engineering. Focus on building proof of concepts, solving complex technical challenges, designing secure cloud architectures, and balancing technical decisions with business impact.
Location: Manchester, United Kingdom; the role involves working in the Manchester office.
Company
is a technology business that combines creative consultancy, interactive technology, and data-driven insights for sports, entertainment, broadcasters, and creator networks.
What you will do
- Shape technical solutions from early product discovery through delivery.
- Build proof of concepts, prototypes, and production experiments to validate ideas.
- Work with engineering teams to solve complex technical challenges.
- Design scalable, secure, and maintainable cloud architectures.
- Champion AI-first thinking across products and internal engineering practices.
- Advise stakeholders on technical options, trade-offs, estimation, planning, and business impact.
Requirements
- Strong software engineering background with experience delivering production systems.
- Deep knowledge of modern software architecture and cloud-native design.
- Hands-on AWS experience.
- Experience building APIs, integrations, and distributed systems.
- Ability to build prototypes and technical proof of concepts.
- Experience collaborating with Product teams and communicating with stakeholders.
Nice to have
- Java and JavaScript experience.
- Serverless and event-driven architecture experience.
- Experience with SaaS, media, martech, or digital products.
- Experience with product experimentation, A/B testing, or AI-enabled products and engineering workflows.
Culture & Benefits
- Work in a creative, ambitious technology business focused on an AI-first future.
- Values include innovation, purposeful impact, collective strength, and sustainable intensity.
- Opportunity to influence both product direction and engineering practices.
- Cross-functional collaboration across engineering, product, and commercial teams.
Hiring process
- Mutual fit chat.
- Manager deep dive focused on experience, technical approach, and problem-solving.
- In-person practical exercise and culture peer session at the Manchester office.
- Clear feedback and, when needed, a final follow-up discussion.
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