Voice AI Integration Lead (SIP / Telephony)
Connected IT
Manchester, UK
4 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Bash Shell
Codecs
Network Congestion
Interoperability
Python (Programming Language)
Node.Js
Oracle (Applications)
Systems Integration
Transcoding
Wireshark
Core Voice Platform
+7 more
Amazon Connect
Scripting
Genesys
Large Language Models
Ribbon (Software)
Terraform
Cisco
Job description
- Lead technical discovery sessions and design SIP/SIPREC and direct integration approaches for enterprise contact-centre environments.
- Act as the senior technical escalation point to diagnose and resolve complex SIP, RTP/media, SBC, TLS/SRTP, NAT/firewall, and interoperability issues.
- Represent the business credibly in technical design workshops and production readiness discussions directly with external enterprise client teams.
- Drive continuous improvements across the media path to reduce end-to-end latency, optimising transcoding, jitter buffering, and AI-agent response times.
- Convert one-off customer integrations into reusable platform capabilities, adapter patterns, and automated diagnostics.
Requirements
- Deep, practical knowledge of SIP signalling and troubleshooting (e.g. SDP negotiation, codec negotiation, packet loss, and jitter).
- Hands-on experience integrating, configuring, and operating Session Border Controllers (SBCs) such as AudioCodes, Ribbon, Oracle, or Cisco CUBE.
- Proven experience working with voice platforms such as Cisco, Avaya, Alvaria, Genesys, NICE, or Amazon Connect.
- Confidence reading and diagnosing network issues using packet captures and traces via tools like Wireshark, SIPp, Homer, or vendor trace tools.
- Full right to work in the UK (no sponsorship is available), the ability to pass a DBS check, and the ability to travel to UK / Ireland on occasion for work purposes without visa restrictions.
- Excellent communication skills and the ability to engage with both technical and non-technical stakeholders.
Nice to Haves (Training Provided)
- Previous exposure to AI, LLMs, STT/TTS, or voicebots. Our client highly values deep, real-time voice and telephony expertise over day-one AI knowledge; they will provide comprehensive training on their AI stack.
- Experience implementing SIPREC in live contact-centre environments.
- Scripting or automation experience (e.g., Python, Node.js, Bash, Terraform).
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