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Ai lead solutions architect

Abercynon
hays-gcj-v4-pd-online
Lead solutions architect
Posted: 22h ago
Offer description

Your newpany

Working for a Centralernment department as an experienced Lead Solutions Architect who’s ready to shape high-impact digital services through cutting-edge technical design and leadership. If you thrive inplex environments, work across disciplines, and know how to turn tough business problems into elegant technical solutions, this is the role for you.

Your new role

1. Leading the design and build of robust technical architectures across large-scale projects.
2. Crafting documentation, design patterns, and standards that set the direction for teams and systems.
3. Translating business needs into smart, scalable solutions with meaningful impact.
4. Making architectural decisions and guiding teams through the full solution lifecycle.
5. Solving deep technical problems while balancing user needs and organisational goals.
6. Ensuringernance, security, and modern standards are embedded in everything you create.
7. Collaborating with technical teams, stakeholders, and user researchers to deliver excellent oues.

What you'll need to succeed

8. Technical ownership - you will need to be a 'doer' and hands-on in this role. Expertise in systems design, integration, and development across high-risk andplex landscapes.
9. User-focused mindset—you know the difference between what users want and what they actually need.
10. Deep knowledge of information security, software engineering standards, and modern design practices.
11. A hands-on approach—you’re not afraid to roll up your sleeves and dive into prototyping or fault-finding.
12. Experience designing and integrating AIponents ( large language models, predictive analytics, machine learning pipelines) into broader systems.
13. Understanding of ethical, legal, and environmental considerations for deploying AI in enterprise settings.
14. Ability to prototype and test AI solutions rapidly to validate hypotheses or explore new service capabilities.
15. Knowledge of training data pipelines, vector databases, and scalable cloud data infrastructure to support machine learning operations.
16. Coordination of AI modules with legacy systems, APIs, and service layers—ensuring seamless delivery and reliability.

What you'll get in return

17. 6-month initial term

18. Remote working

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