AWS AI Architect

6-Month contract - Inside IR35 - market rate

Guildford based - hybrid working - 3 days a week on site

Insurance sector

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• Design and deliver innovative Agentic AI solutions that address client challenges and create measurable business value.
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• Lead the architecture and implementation of autonomous and multi-agent AI systems using hyperscaler AI platforms, with a strong preference for AWS-native services and patterns.
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• Collaborate with business, technology and delivery teams to integrate AI capabilities into enterprise applications, workflows and operating models.
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• Demonstrate modern AI and Agentic AI solutions to clients, clearly articulating technical capabilities, business outcomes and implementation approaches.
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• Translate high-level solution concepts into actionable architecture, design and delivery guidance for engineering teams.
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• Design and implement AI-powered assistants, agents and intelligent workflow solutions leveraging RAG and advanced orchestration techniques.
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• Evaluate emerging AI technologies, frameworks and industry trends to drive innovation and best practice.
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• Provide technical leadership, mentoring and guidance to project teams, promoting excellence in AI solution delivery.
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• Minimum 6 years' experience in Solution Architecture, including at least 2-3 years focused on AI, Generative AI and Agentic AI solutions.
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• Proven experience designing and delivering production-grade Agentic AI solutions on hyperscaler cloud platforms, with AWS experience strongly preferred (e.g., Bedrock, Lambda, Step Functions and related AI services).
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• Hands-on experience implementing AI agents, multi-agent systems, intelligent workflow automation, RAG architectures and AI-powered assistants in enterprise environments.
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• Strong knowledge of agentic frameworks and orchestration technologies such as LangGraph, AutoGen, CrewAI, Agent Development Kit (ADK) or equivalent.
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• Experience with AI engineering platforms including AWS Bedrock, Azure AI Foundry and/or Google Vertex AI.
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• Ability to engage confidently with senior stakeholders, communicate complex AI concepts clearly, and demonstrate business value to clients.
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• Experience within the insurance sector is preferred, with an understanding of industry challenges, processes and regulatory considerations.
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• Strong problem-solving, leadership and consulting skills, with a passion for innovation and continuous learning.
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• Eligibility for SC clearance is highly desirable.
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