At a Glance
- Tasks: Design and prototype innovative AI solutions while engaging with customers and sales teams.
- Company: Join Genesys, a leader in AI-powered customer experience solutions.
- Benefits: Enjoy competitive salary, flexible work options, and opportunities for personal growth.
- Other info: Dynamic team culture with opportunities to influence and drive innovation.
- Why this job: Be at the forefront of AI technology and make a real impact on customer experiences.
- Qualifications: Passion for AI, hands-on experience with modern technologies, and strong communication skills.
The predicted salary is between 70000 - 90000 € per year.
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
The Genesys AI Solution Architect serves as a critical connector between Genesys AI product management and customer-facing teams, enabling the field organization with the expertise, assets, and guidance required to position and deliver Genesys AI solutions — including Agentic Virtual Agents — effectively. In addition, the AI Architect will help drive ACV growth by engaging in sales cycles with strategic technical leadership and differentiated AI expertise. This role requires a blend of deep AI technical acumen, exceptional communication skills, and the ability to translate complex capabilities into clear, actionable business value.
Key Responsibilities:- Leverage expert-level knowledge of Genesys AI capabilities — including predictive AI, Agentic Virtual Agents & Copilot — to articulate and demonstrate product value to customers and prospects.
- Design and rapidly prototype innovative AI use cases, accelerators, and solution patterns that highlight the differentiated value of Genesys AI.
- Support pre-sales activities such as presenting the Genesys AI vision, technical discovery, solution design, product demonstrations, sandbox/trial engagements, AI integration guidance, and value assessments.
- Provide technical feedback and strategic insights to Product Management on AI product design, implementation considerations, and customer-driven enhancements.
- Develop engaging technical assets, deep-dive demonstrations, workshops and other content to support and enable Genesys and partner field teams.
- Influence CIO/CTO-level stakeholders and position Genesys — particularly its AI and Agentic Virtual Agent capabilities — as integral to an organization’s broader IT and transformation strategy.
- Intellectual Curiosity: A genuine passion for rapidly learning and unlearning in a field that evolves on a weekly basis serving as the focal point for technical intelligence, actively tracking the AI landscape (Big Techs, emerging startups, and the Open Source community) to anticipate disruptions and identify business opportunities.
- Hands-on experience with modern AI technologies, including ML, NLU/NLP, LAMs, and advanced prompt engineering techniques.
- Strong ability to create, deliver, and adapt compelling technical demonstrations and presentations that clearly articulate AI integration points and business impact.
- Demonstrated success partnering with sales teams to understand customer challenges and provide AI-focused technical solutioning.
- Expertise in integrating Genesys AI solutions (or other AI solutions) with customer technology ecosystems and the broader Genesys Cloud platform.
- Ability to identify opportunities for process optimization and recommend AI-driven solutions that enhance customer outcomes and operational efficiency.
- Strong understanding of AI architecture components—including A2A, MCP, and related platform services—and how they interact with AI and Agentic Virtual Agent capabilities.
- Proven ability to influence CIO/CTO decision-makers.
- Fluency in English and other languages as a plus.
AI Solution Architect EMEA in London employer: Genesys
At Genesys, we pride ourselves on being an exceptional employer that fosters a culture of empathy and collaboration. Our employees enjoy the independence to make significant contributions while benefiting from competitive perks and a supportive work environment. Located in the United Kingdom, this role offers unique opportunities for professional growth in the rapidly evolving field of AI, allowing you to shape the future of customer experience alongside a talented global team.
StudySmarter Expert Advice🤫
We think this is how you could land AI Solution Architect EMEA in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Nail that interview prep! Research the company, understand their AI solutions, and be ready to discuss how your skills align with their needs. Practise common interview questions and prepare some thoughtful questions of your own.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a GitHub repository where you can demonstrate your AI projects and solutions. This gives potential employers a tangible look at what you can bring to the table.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our team at Genesys.
We think you need these skills to ace AI Solution Architect EMEA in London
Some tips for your application 🫡
Show Your Passion for AI:Let us see your genuine interest in AI! Share any projects or experiences that highlight your intellectual curiosity and hands-on experience with modern AI technologies. This will help us understand how you can contribute to our innovative team.
Tailor Your Application:Make sure to customise your application to reflect the key responsibilities and requirements mentioned in the job description. We want to see how your skills align with what we’re looking for, so don’t hold back on showcasing your relevant experience!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language to articulate your thoughts and avoid jargon unless it’s necessary. We appreciate a well-structured application that gets straight to the point.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
How to prepare for a job interview at Genesys
✨Know Your AI Stuff
Make sure you brush up on your knowledge of Genesys AI capabilities, especially predictive AI and Agentic Virtual Agents. Be ready to discuss how these technologies can create value for customers and how they fit into the broader IT landscape.
✨Showcase Your Communication Skills
Since this role requires exceptional communication skills, practice explaining complex AI concepts in simple terms. Think about how you can articulate the business impact of AI solutions clearly and engagingly during your interview.
✨Prepare for Technical Demonstrations
Get ready to present a technical demonstration or case study. This could involve designing a prototype or discussing a past project where you successfully integrated AI solutions. Highlight your hands-on experience with modern AI technologies.
✨Understand the Sales Process
Familiarise yourself with the sales cycle and how AI solutions can address customer challenges. Be prepared to discuss how you've partnered with sales teams in the past to deliver AI-focused solutions that drive customer success.
