AI Architect

Dreаmix was founded 19 years ago by passionate IT students, who wanted to create the dreamiest workplace where everyone is heard, works under transparent management, and lives up to their full potential. Now, many years later, we deliver software solutions for renowned companies from Germany, the UK, Switzerland, and Silicon Valley. Dreamix provides quality software services and products for top enterprises around the world through Java and Web technologies. We believe that the employer-employee relationship must be in the form of partnership not transaction. We are committed to investing as much as possible in our employees and we expect the same from you. Culture is what makes us different as we strongly believe in striving for mastery, teamwork, knowledge sharing, proactivity, a healthy lifestyle, and personal development. At Dreamix, we’re actively seeking a visionary AI Architect to join our growing team. We’re looking for someone who can bridge the gap between business objectives and practical AI implementation, focusing on transforming the customer support lifecycle with predictive and data-driven solutions. If you enjoy driving innovation from prototype to production and want to act as a technical mentor in a collaborative environment, we’d be glad to hear from you. Responsibilities: Innovate and oversee the AI capabilities powering reactive, proactive, and predictive customer support across all products and solutions. Analyze customer issues and risk patterns to embed predictive and preventative AI capabilities directly into the support lifecycle. Lead the ideation, prototyping, and scaling of AI-driven solutions from Proof of Concept (PoC) to full production. Collaborate closely with engineering, operations, product, and customer-facing teams to implement, optimize, and align solutions with business objectives. Continuously evaluate new AI tools and technologies to improve efficiency, accuracy, scalability, and data compliance. Act as a mentor within a network of AI and technical experts, sharing best practices, lessons learned, and driving value realization and adoption. Requirements: 8+ years of experience in technical architecture, software engineering, or data science roles, with a strong focus on advanced technology implementations. Strong expertise in AI, data science, and automation, with a proven track record of deploying and maintaining models in production environments. Demonstrated experience scaling AI solutions specifically within customer support, service operations, or customer success ecosystems. Proven ability to connect business objectives with practical AI implementation, continuously refining AI usage to optimize support delivery and transformation outcomes. Strong capability to identify AI-driven innovation opportunities, rapidly build prototypes for next-generation solutions, and drive measurable business value. What you will get: A warm and supportive work environment where you can reach your full potential Flexible working hours that allow you to balance your work and personal life Unlimited home office to help you stay productive and focused Opportunities for professional development, including certifications and training Additional benefits for academic teaching and speaking engagements Knowledge-sharing sessions where you can learn from our Dreamix team Team and company-wide events that bring us together Amazing week long summer office and winter office initiatives Additional health insurance and dental allowance to ensure your well-being Multisport card to encourage a healthy and active lifestyle Office massages to help you relax and unwind If you find the mentioned above interesting, send us your CV ! Only shortlisted candidates will be contacted. The confidentiality of all applications is assured! By applying for this job, you voluntarily agree and submit your personal information. Any personal data that you provide will be processed in strict confidentiality by Dreamix ltd. only for the purposes of selection and recruitment and will not be transferred to other data controllers unless required by law. It will be stored, processed, retrieved, and deleted in accordance with the GDPR.