Associate AI Solutions Architect

Location: Newcastle upon Tyne

## Associate AI Solutions Architect Apply locations:
United Kingdom time type:
Full time posted on:
Posted 6 Days Agojob requisition :
JR111536
** Be the one building AI-powered experiences where they matter most.
** At Genesys, we help organizations create better customer experiences through AI-powered experience orchestration. Our platform connects people, systems, data and AI to help organizations deliver more personalized service, improve operational efficiency and build stronger customer relationships.  Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day.

** About the Role
** The Associate AI Solutions architect is an early-career technical specialist who supports customer-facing AI initiatives while developing expertise in Genesys Cloud AI solutions. Working closely with senior AI Architects, Solution Consultants, Sales teams, and Product Specialists, you will help demonstrate, prototype, and validate AI use cases for customers.

This role is ideal for someone with a passion for AI, customer experience technology, and cloud platforms who wants to grow their technical and business skills in a fast-evolving industry.
** Key Responsibilities
*** Support customer discovery sessions to understand business challenges, customer experience goals, and AI use cases.
* Assist in building demonstrations, proof-of-concepts, and prototype solutions using Genesys AI capabilities.
* Help configure and test AI-powered experiences such as virtual agents, agent assistance, knowledge search, and conversational AI workflows.
* Learn how enterprise AI solutions are designed and deployed, including integrations with APIs, business systems, and external data sources.
* Support the creation and maintenance of reusable demo environments, technical assets, and solution documentation.
* Participate in customer workshops, technical presentations, and product demonstrations alongside senior team members.
* Assist with sandbox and trial engagements by helping validate use cases, test functionality, and document outcomes.
* Collaborate with sales teams to prepare technical responses, solution recommendations, and customer presentations.
* Help gather customer feedback and share insights with Product Management and Engineering teams to improve Genesys AI solutions.
* Develop knowledge of AI concepts such as large language models (LLMs), retrieval-augmented generation (RAG), prompt design, and conversational AI best practices.
* Contribute to internal enablement activities, including documentation, knowledge sharing, and technical training materials.
** Requirements
* * Education & Experience
* Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field, or equivalent practical experience.
* 0–2 years of experience in a technical, customer-facing, software, cloud, or AI-related role.
* Internship, university project, bootcamp, or personal project experience involving AI, software development, or cloud technologies is a plus.

Technical Skills
* Basic understanding of AI, machine learning, natural language processing, or generative AI concepts.
* Familiarity with APIs, web services, and modern software applications.
* Foundational programming skills (Python preferred).
* Interest in learning cloud platforms, enterprise software, and customer experience technologies.
* Basic understanding of data structures, databases, and system integrations is beneficial.

Communication & Collaboration
* Strong written and verbal communication skills.
* Ability to explain technical concepts clearly to different audiences.
* Strong problem-solving mindset and willingness to learn from experienced team members.
* Ability to work collaboratively across sales, technical, and product teams.

Desired Attributes
* Curiosity about emerging AI technologies and their business applications.
* Passion for customer experience and digital transformation.
* Eagerness to learn, experiment, and grow technical expertise.
* Comfortable working in a fast-paced, collaborative environment.

Languages
* Fluency in…