Cloud Architect

Job Description

Technical Architect - Amazon Lex

Contract - Inside IR35

6 months (options to extend)

Luton, Bedfordshire - 3 days onsite

We’re currently looking for an Amazon Lex Architect with proven experience in the contact centre domain and a strong grasp of Generative AI (Gen AI) and LLM integration. This is a client-facing architecture role focused on driving automation and conversational AI initiatives.

The Role

The end-client operates across multiple international markets and is accelerating its automation and customer experience transformation using AWS technologies. The selected candidate will play a key role in the technical design and implementation of Lex-based conversational bots (webchat and voice) and help guide the broader integration strategy.

Key Responsibilities

• Lead technical design discussions with client architects and stakeholders
• Create and present OSD (Overall Solution Design) and HLD (High-Level Design) documentation
• Architect solutions integrating Amazon Lex with Gen AI/LLMs to enhance chatbot and voicebot capabilities
• Provide hands-on guidance to development teams on best practices and integration strategies
• Act as a liaison between technical teams and project leadership to ensure timely delivery and solution alignment
• Advise on AWS- automation capabilities and platform integration

Essential Skills & Experience

• 10+ years in cloud-based architecture and engineering roles
• Deep hands-on expertise in Amazon Lex, including configuration, limitations, and deployment best practices
• Strong experience with Amazon Connect for voicebot integration
• Familiarity with AWS services such as Lambda, DynamoDB, S3, API Gateway, CloudWatch
• Practical experience or understanding of LLMs and Generative AI, including how they can be integrated with Lex-based solutions
• Excellent communication and client engagement skills
• Strong problem-solving and analytical mindset

Desirable Skills

• Experience with at least one programming (e.g., Python, JavaScript) for custom logic and Lambda functions
• Understanding of NLP concepts such as intent recognition, entity extraction, and sentiment analysis