Senior AI Engineer leading voice technology stack evolution for US Mobile. Spearheading Voice Biometrics and AI Agents development for advanced connectivity solutions.
Responsibilities
Establish the Trust Layer: Design and deploy robust voice biometric systems (Speaker Verification and Identification) to serve as the secure entry point for our voice ecosystem.
Anti-Spoofing & Security: Develop advanced liveness detection and anti-cloning models to protect against deepfakes and synthetic audio attacks.
Architect Voice AI Agents: Lead the long-term transition toward autonomous Voice Agents by integrating Biometrics with ASR, TTS, NLU and LLMs.
Pipeline Innovation: Build end-to-end low-latency pipelines that process streaming audio, enabling fluid, real-time "human-in-the-loop" or fully autonomous interactions.
LLM Integration: Explore and implement Large Language Models (LLMs) and "Speech-to-Speech" architectures to give our voice agents contextual memory and reasoning capabilities.
Performance Engineering: Optimize models for accuracy (minimizing FAR/FRR) and latency, ensuring the agent responds with sub-second "Time to First Token."
Requirements
6+ years of experience in AI/Machine Learning, with a strong portfolio in Speech Processing or Audio Intelligence.
Biometric Expertise: Proven experience in speaker recognition, embedding extraction (x-vectors/d-vectors), and signal processing.
Conversational AI Vision: Deep understanding of the modern "Voice Stack"—specifically how to connect ASR, LLMs, and TTS into a cohesive agentic workflow.
Tooling & Frameworks: Expert-level proficiency in PyTorch or TensorFlow, and familiarity with speech libraries such as SpeechBrain, NVIDIA Riva, or Kaldi.
Production Excellence: Experience deploying real-time AI models in cloud environments (AWS/GCP/Azure) with an emphasis on high-availability and security.
Growth Mindset: A background in general AI with the agility to master niche voice biometrics today and lead broad Voice AI agent strategy tomorrow.
Benefits
Competitive salary
Flexible working hours
Supplemental health insurance
Professional development stipend
$500 wfh tech set-up reimbursement
Job title
Senior AI Engineer – Voice Biometrics, Conversational AI
AI Engineer developing AI agents and intelligent software components for a top software solutions provider in retail and hospitality. Collaborating with teams to enhance user experiences and internal processes.
Data scientist role focusing on GenAI at Fidelity. Leading machine learning projects and collaborating with business and technology partners to deliver impactful solutions.
AI Engineer developing Python - based applications for healthcare technology company. Collaborating with data scientists on AI development lifecycle and deploying solutions with large datasets.
AI Engineer implementing AI solutions integrating services like Azure AI at Symplifyr. Collaborating with technical and business teams on practical, robust AI - driven solutions.
Senior Software Developer focused on AI platforms at Genetec, enhancing physical security solutions through scalable inference technologies. Join a diverse, growing team committed to innovation.
Senior AI Engineer delivering AI - powered products for Capital One, enhancing banking services with advanced AI solutions. Collaborating with cross - functional teams on innovative AI and ML projects.
Applied AI Developer responsible for AI tool development and integration at Delta Controls. Focus on enhancing operational efficiency and supporting various business functions through AI technologies.
Gen AI Engineer focusing on the design and development of Gen AI applications on cloud platforms. Seeking candidates with experience in data science and programming.
Staff AI Engineer creating scalable AI functionality for WEX. Collaborating with engineering teams to integrate AI components and maintain ML pipelines.