Architect AI - L1

Job Description

Job Function:

Shapes enterprise AI solutions — translating business problems into end-to-end AI solution designs, selecting the right pattern (agentic, copilot, RAG, or predictive), and composing the solution across components and partners.

Core skills: AI ML Solution Architecting; Solution Architecture; AI Architecture Decisioning

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Qualifications and Skills:

Enterprise AI solutioning — translating business problems and opportunities into end-to-end AI solution designs and value cases.

Pattern selection across agentic, copilot, RAG, and predictive approaches, and the trade-offs between prompting, retrieval, fine-tuning, and tool-use.

Solution composition — assembling models, data, orchestration, and services into a coherent solution, with build-versus-buy and model strategy.

Ability to produce solution blueprints, reference solutions, and estimates that delivery teams can execute.

Skill in shaping non-functional intent (security, cost, scale) at the solution level and partnering with platform, integration, and assurance architects to realise it.

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Experience Requirements:

Has shaped enterprise AI solutions from business problem to solution design.

Selected solution patterns and model strategy across multiple initiatives.

Produced solution blueprints, reference solutions, and estimates adopted by delivery.

Partnered with platform, integration, and assurance architects to realise solutions.

Advised business and client stakeholders on AI solution value and roadmap.

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Key Responsibilities:

Translate business problems and opportunities into end-to-end AI solution designs and value cases.

Select the solution pattern — agentic, copilot, RAG, or predictive — and the model strategy, with build-versus-buy and total cost of ownership.

Compose the solution across models, data, orchestration, and services into a coherent, deliverable design.

Produce solution blueprints, reference solutions, and estimates that delivery teams execute.

Shape non-functional intent — security, cost, and scale — at the solution level, and partner with platform, integration, and assurance architects to realise it.

Resolve solution-level trade-offs and de-risk the design before delivery.

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