Lead Voice AI Architect: Build Scalable Conversational AI

Natilik; Greater London; Hybrid; GBP 85,000 - 120,000; Full time

Benefits offered by this job

25 days annual leave (+ bank holidays)

Quarterly Awards and Bonuses

Flexible Working Policy

Competitive pension scheme

Private Medical Insurance

Company shares (available after One

Medicash (Cashback Scheme)

Retail discounts via Medicash

Access to EAP scheme for you and your

Vehicle lease salary sacrifice scheme

Cycle to Work Scheme

Annual paid volunteering day

Enhanced parental leave

Access to funding for additional quals

Access to paid study leave

Job summary

Natilik is seeking a skilled Voice AI Architect to own the end-to-end voice solution design across the assigned use cases. The role requires defining architecture, patterns, integration, security controls, and production readiness to deliver scalable experiences.

You will provide technical direction to Voice AI Engineers, run workshops, reviews and sign-off on designs, ensuring robust, multilingual voice and chat deployments for clients.

Qualifications

• At least 2–3 years’ experience designing and delivering conversational AI, voice AI, or agentic AI solutions.
• Strong hands‑on experience in conversational and agentic AI architecture and delivery, including conversation flow design, voice AI integrations, LLM orchestration and prompt engineering, AI tool and function calling, Retrieval‑Augmented Generation (RAG), knowledge management, interactive web applications, workflow automation, analytics and observability, environment management, and reusable solution patterns.
• Strong practical understanding of LLM prompting, tool design, tool orchestration, structured tool results, hallucination prevention, prompt grounding, guardrails, and when to use deterministic logic or NLU alongside agentic reasoning.
• Good working knowledge of conversation design principles, including intent journeys, task flows, fallback paths, repair prompts, turn‑taking, escalation points, voice‑friendly wording, and reducing customer friction.
• Strong JavaScript understanding for reviewing Code Nodes, validation logic, payload mapping, API response handling, context manipulation, logging, and custom flow behaviour.
• Experience designing secure REST API integrations, PII‑safe handling, authentication patterns, error handling, observability, and production support models.
• Strong voice‑agent architecture experience, including STT/TTS selection, multilingual recognition, DTMF, barge‑in, endpointing, transfers, hang‑up logic, silence handling, latency, and speech tuning.
• Ability to debug complex issues using transcripts, context, input, tool arguments, Voice Gateway logs, API responses, Insights, and Code Node logs.

Responsibilities

• Own the end-to-end Voice solution design across the assigned use cases.
• Define the architecture, design patterns, flow structure, agentic AI strategy, tool-calling approach, integration model, security controls, guardrails, multilingual approach, voice experience, xApp strategy, reporting model, and production readiness standards.
• Decide when to use agentic AI, deterministic flows, NLU, Knowledge AI, xApps, or human handover.
• Define reusable patterns for LLM Prompt nodes, tool schemas, Resolve Tool Actions, context management, API integrations, fallback handling, escalation, and error recovery.
• Provide technical direction to Voice AI Engineers, review implementation quality, unblock delivery issues, validate design decisions, and own solution sign-off.
• Lead stakeholder workshops, demos, design reviews, risk reviews, and technical governance.

Skills

Conversational AI

Agentic AI

LLM orchestration

Prompt engineering

Tool calling

Knowledge management

REST API design

Security controls

Voice AI

Multilingual

Tools

Twilio

Cisco Finesse

Job description

Natilik is seeking a skilled Voice AI Architect to own the end-to-end voice solution design across the assigned use cases. The role requires defining architecture, patterns, integration, security controls, and production readiness to deliver scalable experiences.

You will provide technical direction to Voice AI Engineers, run workshops, reviews and sign-off on designs, ensuring robust, multilingual voice and chat deployments for clients.