At a Glance
- Tasks: Build AI-powered experiences and support customer-facing AI initiatives.
- Company: Join Genesys, a leader in AI-powered customer experience technology.
- Benefits: Flexible work culture, mentorship, and opportunities for professional growth.
- Other info: Collaborative environment with a clear path to career advancement.
- Why this job: Dive into the exciting world of AI and make a real impact.
- Qualifications: Bachelor's degree or equivalent experience in tech-related fields.
The predicted salary is between 70000 - 90000 £ per year.
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 English
- Other language skills are a plus.
- What You’ll Gain
- Hands-on experience with enterprise AI and customer experience technologies.
- Exposure to real-world customer engagements and AI solution design.
- Mentorship from experienced AI Architects and industry experts.
- Opportunities to develop technical, presentation, and consulting skills.
- A clear growth path toward senior technical and customer-facing roles within Genesys.
- Working at Genesys
- AI at enterprise scale
- Build, support and operate AI-powered technology used by more than 8,000 organizations worldwide. 150+new AI features were released in the last fiscal year.
- A flexible-first culture
- Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work.
- Growth in the AI era
- Build future-ready skills through mentorship, learning programs, leadership development and education support.
- Time to recharge and give back
- Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families.
- Recognized globally
- Genesys is Great Place to Work certified in 17 countries and 94% of employees are proud to tell others they work at Genesys.
- About Genesys
Genesys empowers more than 8,000 organizations worldwide to create the best customer and employee experiences.
With agentic AI at its core, Genesys Cloud is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise.
As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces.
- To learn more, visit
- Reasonable Accommodations
If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at
You can expect a response within 24–48 hours.
To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending.
If you have any questions, please include them in your email.
Equal Opportunity Employer
Genesys is an equal opportunity employer committed to fairness in the workplace.
We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
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Associate AI Solutions Architect in London employer: SwiftCruit
At Global, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London that fosters innovation and collaboration. As a Senior Machine Learning Engineer, you'll not only have the opportunity to influence millions through cutting-edge AI solutions but also benefit from a culture that encourages professional growth, cross-functional partnerships, and the development of reusable engineering standards. With a commitment to employee development and a focus on impactful projects, Global is the ideal place for those seeking meaningful and rewarding careers in data science and machine learning.
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We think this is how you could land Associate AI Solutions Architect in London
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We think you need these skills to ace Associate AI Solutions Architect in London
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Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at SwiftCruit.
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How to prepare for a job interview at SwiftCruit
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For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
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Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
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While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
