Chatbot Engineer

To be the domain expert in Chatbot engineering, driving and developing the technology and architecture and implementing market leading solutions that support esure's digital first mindset and creating a seamless and intuitive interface for our customers.

What will my role entail?

• Take ownership for the design and implementation of AWS solutions that focus on customer experience and engagement. This will include chatbot design and development of that architecture.
• Operate as the SME for Chatbot engineering solutions and work hand in hand with a wider squad to help problem solve when required.
• Work as part of a larger squad and interact effectively with key internal partners in Data Science, Engineering, Operations and Technology.
• Partner with AWS business development, sales and architecture teams to identify opportunities and solutions.
• Operate as a Service Designer and a Software Engineer, with the customer experience in mind.
• Stay up to date with AWS technology development and testing. Also to experiment with new AWS capability.
• Using the latest AWS market knowledge, take a pro-active role in 2nd line support of applications and platform.
• Act as the domain expert across the squad in your domain, coach and support others when required and ensure knowledge is shared across the wider team.

You are a good fit for the role if you have the following…

• Proven record of using customer experience and engagement tools, preferably within the AWS and Amazon Connect ecosystem.
• Experience with AWS services (eg. Amazon Comprehend, ContactLens, Lex, Rekognition, Textract, Translate, Transcribe), ideally in conjunction with customer experience and engagement.
• Knowledge in voice systems, such as natural language chatbots, interactive voice response (IVR), and automated customer voice authentication.
• Hands-on keyboard AWS implementation experience across a broad range of AWS Connect services.
• Ability to develop AWS environments as code.
• Cloud automaton tooling and scripting experience e.g. Terraform, Jenkins.
• Awareness of security best practice pertinent to Amazon Connect and related systems
• Use failure as opportunity and demonstrate the ability to learn quickly.

We’d also like to hear if you have…

• Python experience and knowledge of LLMs a plus
• Strong data skill, demonstrating a data centric approach and familiarity with data tools, such as Databrick, SQL etc

What’s in it for you:

• Competitive salary reflecting your skills and potential.
• Bonus scheme recognising your contributions.
• 25 days annual leave plus 8 flexible days.
• Flexible work options, including hybrid and part-time.*
• Private Medical Insurance 
• Career growth supported by training, mentoring, and resources
• Join networks to connect, learn, and share with colleagues.
• Discounts on insurance products for you and family.
• Support for a healthy lifestyle through various wellness programs.
• Volunteer days and initiatives for a greener lifestyle.
• Social recognition tool for colleague appreciation

*where available