At a Glance
- Tasks: Build AI-powered experiences and support customer-facing initiatives.
- Company: Join Genesys, a leader in AI-driven customer experience technology.
- Benefits: Flexible work culture, mentorship, and opportunities for 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: Passion for AI and tech, with some relevant experience preferred.
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 www.genesys.com.
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 reasonable.accommodations@genesys.com.
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.
Associate AI Solutions Architect 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.
StudySmarter Expert Advice🤫
We think this is how you could land Associate AI Solutions Architect
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like SwiftCruit!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Associate AI Solutions Architect at SwiftCruit.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like SwiftCruit.
✨Apply Directly through Our Website
When you find a suitable opening like Associate AI Solutions Architect at SwiftCruit, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Associate AI Solutions Architect
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at SwiftCruit, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at SwiftCruit. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at SwiftCruit
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at SwiftCruit!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
