Conversational AI Architect — Cognigy Specialist

Natilik

Greater London

On-site

GBP 90,000 - 140,000

Full time

14 days+
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Benefits offered by this job

25 days annual leave (+ bank holidays)
Quarterly Awards and Bonuses
Flexible Working Policy
Competitive pension scheme
Financial Wellness support
Home working and mobility technology
Private Medical Insurance
Company shares (after one year)
Medicash cashback scheme
Medicash retail discounts
EAP scheme for you and household
Cycle to Work Scheme
Annual volunteering day
Enhanced parental leave
Funding for qualifications and courses
Paid study leave

Job summary

Natilik is seeking a Conversational AI Architect to own the Cognigy solution design across assigned use cases, ensuring scalable and secure voice and chat AI implementations. You will guide engineers, define patterns, and support production readiness while leading workshops and governance activities.

Essential skills include Cognigy architecture, LLM prompting, tool orchestration, and robust API integrations.

Qualifications

  • Experience designing and delivering conversational AI/voice/agentic AI solutions.
  • Strong Cognigy architecture experience across flows, tool calls, xApps and prompts.
  • Solid understanding of LLM prompting, tool design and guardrails.

Responsibilities

  • Own end-to-end Cognigy solution design for assigned use cases.
  • Define architecture, patterns, integration model, security controls and production readiness.
  • Lead stakeholder workshops, design reviews and governance sessions.
  • Provide technical direction to engineers and review implementation quality.
  • Ensure scalable, secure, and maintainable conversational AI solutions.

Skills

Conversational AI design
Cognigy architecture
LLM prompting
Tool orchestration
REST API security
Voice UX design
JavaScript basics
LLM integration patterns

Job description

Natilik is seeking a Conversational AI Architect to own the Cognigy solution design across assigned use cases, ensuring scalable and secure voice and chat AI implementations. You will guide engineers, define patterns, and support production readiness while leading workshops and governance activities.

Essential skills include Cognigy architecture, LLM prompting, tool orchestration, and robust API integrations.

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