AI Solutions Architect
Confidential
Posted: January 30, 2026
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Quick Summary
AI Solutions Architect
Required Skills
Job Description
Our Values: Trust | Respect | Team spirit
Our secret: Our people who make the difference with their integrity and competences!
AI Solutions Architect | Full-time contract | Athens - GR
A role rich in responsibilities and challenges, combining technical expertise in artificial intelligence with business strategy and customer relations.
Your mission :
As an AI Solutions Architect, you will play a pivotal role in defining our AI strategy with customers, bridging business needs with cutting-edge technologies. You'll help organizations unlock the full potential of AI by designing innovative solutions, influencing stakeholders, and ensuring the successful adoption of AI architectures in the cloud.
Your responsibilities will include:
• Collaborate with business and customers to identify challenges and opportunities where AI and data innovation can drive measurable business value.
• Define and articulate a clear vision of AI and data architecture, ensuring alignment with technical and business objectives.
• Design AI/ML solution architectures, including generative AI, MLOps, and scalable deployment use cases on cloud platforms (AWS, Azure).
• Drive proofs-of-concept and demonstrations to validate feasibility and show value to stakeholders.
• Support sales cycles as a trusted technical advisor, during customer workshops, RFP responses, and pre-sales activities.
• Integrate disparate customer data systems into consistent cloud-native architectures, enabling advanced analytics and AI adoption.
• Support teams in the prompt engineering and fine-tuning process to obtain optimal results from generative AI models.
• Collaborate with the various teams to ensure secure, scalable solutions that comply with governance and ethical standards.
• Develop and promote best practices for the design, deployment and operation of AI solutions in an enterprise context.
• Translate complex technical concepts into clear and compelling narratives for a variety of audiences (executives, technical teams, non-technical stakeholders).
• Build strong networks with partners, vendors, and the broader AI ecosystem to accelerate delivery and innovation.