Senior Conversational AI Delivery Engineer

๐Ÿข Omilia ยท all Omilia jobs
๐Ÿ“ Greece
๐Ÿ“… Posted 2026-08-09 ยท via Himalayas
๐Ÿท Conversational-AI-Engineering,AI-Delivery-Engineering,Enterprise-AI-Solutions,Technical-AI-Solutions,AI-Implementation,Conversational-AI-Engineer,Senior-AI-Agent-Engineer,Senior-AI-LLM-Engineer,Senior-AI-Engineer,Senior-NLP-Engineer
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As a Senior AI Delivery Engineer in the Solution Delivery department, you will be a hands-on technical owner responsible for designing, building, and deploying enterprise-grade conversational AI and agentic automation solutions on the Omilia platform. You will serve at the intersection of AI engineering and client delivery โ€” translating complex CX requirements into production-ready implementations. This role is structured as the entry point to technical leadership at Omilia .
Accountabilities

- Own technical delivery quality from design through go-live and hypercare โ€” ensuring on-time, on-budget outcomes aligned with client CX goals.

- Serve as the primary technical point of contact for assigned client engagements โ€” 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.

Key Responsibilities
Hands-on AI Solution Delivery

- Design, configure, and deploy end-to-end conversational AI solutions on the Omilia OCP platform โ€” covering agentic workflows blended with traditional NLU modelling, and omnichannel integrations.

- Integrate GenAI capabilities into production deployments โ€” including RAG pipelines, embedding search, and LLM prompt engineering.

- Manage contact centre infrastructure integrations: IVR, SIP, CTI, and omnichannel APIs.

Client and Cross-functional Collaboration

- Serve as the primary technical point of contact for assigned client engagements โ€” 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 โ€” escalating complex technical issues and driving resolution with urgency.

Technical Leadership and Growth

- 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.

Requirements
Required

- 5+ years of hands-on experience delivering conversational AI or agentic automation solutions in enterprise environments.

- Proven delivery track record with at least one major conversational AI platform: Omilia OCP, Cognigy, Kore.ai, Google CCAI, Nuance, Amazon Lex, or equivalent.

- Practical experience integrating GenAI/LLM capabilities into production systems: RAG, embeddings, prompt engineering, LLM APIs (OpenAI, Gemini, Claude, etc.).

- Solid proficiency in Python (preferred) or Node.js for backend integrations and automation scripting.

- Experience with CX and contact centre infrastructure: IVR, SIP, CTI, and omnichannel API integrations.

Skills & Competencies

- Ability to lead technical client conversations and translate complex requirements into implementation plans.

- Strong analytical and problem-solving skills โ€” comfortable managing ambiguity in fast-paced, client-facing environments.

- Clear communication โ€” able to convey technical concepts to both technical peers and business stakeholders.

- Collaborative mindset with demonstrated ability to work across delivery, pr

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