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.
Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report.
What Happens After You Apply
After you apply, here's what you can typically expect:
- Our Talent Acquisition team reviews your application with the hiring team.
- A Talent Acquisition Partner will review your application and, if your background is aligned, schedule a Zoom interview.
- Next, you'll meet the hiring manager and other members of the interview team.
- We aim to keep the process focused and respectful of your time, with no more than five interviews in most cases.
- After interviews are complete, our team will follow up with the final steps.
Every application is reviewed by a person. Response times may vary by role and location, but our team will keep you informed throughout the process.
Stay Connected
Stay connected to learn more about how we're applying AI to customer and employee experience challenges and get notified when relevant opportunities become available.
Get notified about relevant opportunities.
Be the one building what's next - where AI, experience and impact come together.
Employee Referral
If a Genesys employee referred you, please apply using the link they shared so we can connect your application to their referral.
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 [email protected].
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.
This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.
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.
