Artificial Intelligence

• Own technical delivery quality from design through go-live and hypercare — ensuring on-time, on-budget outcomes aligned with client CX goals.
• Serve as the primary technical point of contact for assigned client engagements — translating business requirements into technical architectures and CX designs.
• Proactively identify and manage delivery risks, escalate complex technical issues, and drive resolution with urgency.
• Provide technical guidance and mentorship to junior engineers within the delivery team.
• Contribute to internal delivery accelerators, tooling, reusable solution components, and best-practice documentation.
• Collaborate across Solution Delivery, Product, Platform, R&D, Sales, Pre-Sales, and Certified Partners to ensure alignment on project requirements and Omilia platform capabilities.
• Design, configure, and deploy end-to-end conversational AI solutions on the Omilia OCP platform — covering agentic workflows blended with traditional NLU modelling, and omnichannel integrations.
• Integrate GenAI capabilities into production deployments — including RAG pipelines, embedding search, and LLM prompt engineering.
• Manage contact centre infrastructure integrations: IVR, SIP, CTI, and omnichannel APIs.
• Serve as the primary technical point of contact for assigned client engagements — translating business requirements into technical architectures and CX designs, and maintaining trusted relationships with customers and partners throughout the project lifecycle.
• Collaborate closely with Solution Architects, Product, Platform, R&D, and Pre-Sales to ensure alignment on project requirements and Omilia platform capabilities.
• Proactively identify and manage delivery risks — escalating complex technical issues and driving resolution with urgency.
• Provide technical guidance and mentorship to junior engineers within the delivery team.
• Contribute to internal delivery accelerators, tooling, reusable solution components, and best-practice documentation.
• Actively research developments in conversational AI, agentic frameworks, and GenAI tooling to drive continuous improvement in delivery processes.
• Foster a culture of quality, innovation, and ownership within the team.

Senior Conversational AI Delivery Engineer

• Lead the design, development, and deployment of AI/ML solutions into production environments.
• Drive the transformation of research concepts and prototypes into scalable, maintainable, and high-quality software systems.
• Provide technical leadership and mentorship to AI engineers, fostering engineering best practices and continuous learning.
• Collaborate with product, engineering, and business stakeholders to define AI-driven solutions aligned with customer and business needs.
• Evaluate emerging technologies, frameworks, and tools to guide technical strategy and innovation initiatives.
• Oversee architecture decisions, system design, and technical roadmaps for AI-powered products and platforms.
• Ensure code quality, reliability, scalability, and maintainability through code reviews, testing, and engineering standards.
• Lead the evaluation and validation of prototype features and AI components to ensure functional and usability requirements are met.
• Support production operations, monitoring, incident resolution, and continuous improvement of AI systems and services.
• Contribute to the establishment and evolution of MLOps practices, including CI/CD pipelines, model versioning, and monitoring.
• Promote collaboration across cross-functional teams and help drive execution, prioritization, and delivery.

AI Development Team Lead

• Identify, consume, and integrate existing Power BI reports, datasets, and semantic models;
• Leverage Microsoft Fabric features embedded in Power BI as the first choice for solution design;
• Build advanced consumption patterns on top of Power BI (programmatic access, integrations, automation);
• Evaluate platform limitations and determine when Power BI + Fabric are sufficient — and when they’re not;
• Design and implement custom solutions using AI and GenAI techniques when native capabilities fall short;
• Apply AI to enable intelligent data interaction, interpretation, enrichment, or automation beyond standard BI;
• Take solutions from local development to production, following sound engineering practices;
• Collaborate closely with BI, data, platform, and architecture teams;
• Ensuring that all activities and duties are carried out in full compliance with regulatory requirements and supporting the continued implementation of the Group Anti-Bribery and Corruption Policy.

Power BI Conversational Engineer, BI, AI

• Collaborate in the creation of high-performing video ads for digital platforms (social media, adult/adult-adjacent sites), focusing on engagement and user acquisition
• Assist with editing and post-production of marketing videos, ensuring they are visually appealing and aligned with campaign goals
• Collaborate with the marketing and creative teams to develop and execute concepts and storyboards
• Use AI tools like Midjourney, Stable Diffusion, Runway, and other generative technologies to enhance creative output
• Apply feedback and iterate on video content based on performance and team input
• Adapt content for different formats, aspect ratios, and platform requirements
• Stay up to date with trends in AI, short-form video and digital advertising
• Help ensure content aligns with platform policies and brand guidelines

Junior/Mid AI Video Artist

• Define, design, and continuously evolve the digital, AI, and omnichannel strategy across Greece
• Lead digital transformation initiatives, embedding innovative technologies and operational excellence throughout the organization
• Shape and execute omnichannel customer engagement strategies to strengthen market presence and customer experience
• Develop and optimize customer profiles, CRM strategies, digital communication channels, and performance marketing initiatives
• Drive commercial growth by identifying business opportunities, improving profitability, and enhancing market competitiveness
• Act as a strategic partner to senior leadership, supporting business transformation and long-term growth objectives
• Oversee branding, social media, digital campaigns, and customer journey management to ensure alignment and consistency
• Implement governance frameworks, compliance standards, and performance measurement systems across digital and business functions
• Monitor KPIs, customer insights, and operational performance, delivering strategic recommendations based on measurable outcomes
• Build scalable communication processes and ensure seamless integration between commercial, digital, and operational teams
• Lead change management initiatives, fostering a culture of innovation, agility, and continuous improvement
• Collaborate cross-functionally with stakeholders, teams, and leadership to deliver strategic priorities and sustainable business success

Digital, AI & Omnichannel Manager – Pharma

• Lead and orchestrate the ML Engineering team — coordinate efforts, remove blockers, and ensure alignment with company goals
• Design and implement structural frameworks: workflows, ownership boundaries, and accountability across all ML workstreams
• Raise the technical bar — establish engineering best practices in line with top-tier AI organizations (OpenAI, Google, Qwen-level standards)
• Own the end-to-end ML roadmap: take full accountability for delivery, quality, and measurable business impact
• Develop team members — mentor individual contributors, support career growth, and build a culture of continuous learning
• Drive AI innovation and stay ahead of industry trends — bring new capabilities, tools, and methodologies into the team's practice

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Senior Conversational AI Delivery Engineer

AI Development Team Lead

Power BI Conversational Engineer, BI, AI

Junior/Mid AI Video Artist

Digital, AI & Omnichannel Manager – Pharma

Team Lead, ML