AI Solution Architect

Role Overview

As an AI Solution Architect, you will work alongside data scientists, product thinkers, and domain experts to shape how Sky uses AI, agents, and large language models to unlock real value across the business.

Responsibilities

• Design Enterprise-Grade Solutions: Architect end-to-end systems using AI, Agent Frameworks and LLMs, turning business problems into scalable, secure, and performant technology blueprints.
• Partner Strategically: Engage with senior stakeholders across Sky to align AI capabilities with real commercial goals, applying a consulting mindset to shape strategic solutions.
• Bridge Tech and Business: Act as the connective tissue between engineering, data science, and business units, ensuring clarity, alignment and momentum throughout the delivery lifecycle.
• Collaborate Cross Functionally: Work closely with developers, architects, project managers and data scientists to bring innovative AI products to life.
• Mitigate Risk by Design: Anticipate risks and embed security, compliance, and operational resilience into every solution from the ground up.
• Drive Value and Impact: Steer business and engineering teams toward sustainable AI solutions that deliver real value for the business long term, avoiding duplication and technical debt.
• Document with Precision: Produce robust architectural documentation, data models, and specifications to guide successful implementation and handover.

Qualifications

• Proven experience architecting AI solutions in complex, enterprise environments, particularly involving Agentic, GenAI or LLM technologies.
• Strong working knowledge of cloud platforms (AWS, Azure, GCP) and their native AI tools and services.
• Background in consulting or business‑facing solution design, with the ability to distil complex requirements into elegant, cost‑effective architectures.
• Programming experience and fluency with common AI/ML frameworks, services and deployment practices.
• Exceptional problem‑solving skills and the ability to work on complex issues where analysis of situations or data requires in-depth evaluation of variable factors.
• Excellent communication and stakeholder management skills; comfortable presenting to executives and collaborating across disciplines.
• A strategic, problem‑solving mindset able to weigh technical trade‑offs and drive high‑value decisions.

Essential Criteria

• Strong solution architecture capability, including the ability to translate business problems into secure, scalable, resilient and cost‑effective technology designs.
• Hands‑on knowledge of at least one major cloud platform – AWS, Azure or GCP – including relevant AI, data, integration and deployment services.

Desirable Skills & Experience

• Experience with agentic AI patterns, orchestration frameworks, retrieval augmented generation, prompt engineering and responsible AI practices.
• Knowledge of data architecture, integration patterns, APIs, event‑driven design and enterprise platforms used to connect AI solutions into production environments.
• Experience operating in agile delivery environments, supporting governance forums, architecture reviews and technical decision‑making across multi‑disciplinary teams.

Hybrid Working Expectations

The role requires a hybrid working approach: 2 days in the office per week at a Sky campus.

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