Senior AI/Voice Application Engineer

TTEC•Greenwood Village, CO

44d•$140,000 - $160,000•Hybrid

About The Position

As a Senior AI/Voice Application Engineer, you will lead the design and implementation of enterprise-scale AI and voice communication solutions for contact center operations. You will architect intelligent systems that leverage cutting-edge GenAI capabilities, real-time voice processing, and scalable cloud infrastructure to deliver transformative customer experience solutions. You'll report to the Director, Application Development.

Requirements

6+ years of professional Golang development experience with demonstrated expertise in system design
Proven track record building and deploying GenAI applications, including integration of LLMs, embedding models, and AI orchestration frameworks
Deep understanding of SIP protocol, RTP/SRTP, voice codecs (G.711, Opus, etc.), and telecommunications standards
3+ years of experience with contact center technologies, including CCaaS platforms, ACD systems, or workforce management tools
Expert-level knowledge of cloud-native architectures on GCP, AWS, or Azure
Strong experience with microservices patterns, event-driven design, and distributed systems
Proficiency with streaming technologies (Kafka, Pub/Sub, Kinesis) and real-time data processing
Track record of mentoring engineers and leading technical initiatives
Demonstrated ability to rapidly learn and implement emerging technologies
Experience architecting voice platforms with media servers (FreeSWITCH, Asterisk, Kamailio)
Deep knowledge of AI/ML frameworks, LangChain, vector databases, and RAG architectures
Experience with telephony APIs (Twilio Programmable Voice, SignalWire, Plivo)
Understanding of WebSocket protocols, WebRTC infrastructure, and STUN/TURN servers
Familiarity with speech analytics, emotion AI, or conversational AI platforms
Experience with contact center AI solutions (Google CCAI, Amazon Lex, Nuance)
Background in voice biometrics, speaker diarization, or acoustic modeling
GCP Professional Cloud Architect or AWS Solutions Architect certification
Experience with Agile/Scrum methodologies in fast-paced environments

Responsibilities

Architect and develop complex GenAI applications using Golang, implementing multi-agent systems, conversation intelligence, and autonomous workflow automation
Design voice infrastructure solutions including SIP trunking, session border controllers, and real-time media processing pipelines
Lead the development of AI-powered contact center capabilities such as virtual agents, real-time agent coaching, and predictive analytics
Build scalable streaming data pipelines for processing voice, chat, and email interactions in real-time
Implement advanced AI techniques including fine-tuning, few-shot learning, and multi-modal AI applications
Architect integration layers between contact center platforms (Amazon Connect, Genesys, Avaya, etc.) and enterprise systems
Design and implement voice quality monitoring, fraud detection, and compliance recording solutions
Establish best practices for AI model governance, versioning, and deployment strategies
Mentor development teams on Golang best practices, AI integration patterns, and telecommunications protocols
Drive technical decision-making for platform architecture, technology selection, and system design
Lead proof-of-concept initiatives and rapid prototyping for emerging AI capabilities