Principal AI Systems Architect

Conch Technologies Inc; Minnesota; À distance; USD 165 000 - 248 000; Plein temps

Résumé du poste

Conch Technologies, Inc. seeks a Principal AI Systems Architect to lead evaluation, architecture, and technical assessment of production-scale AI-powered voice and agent-assistance platforms. The role emphasizes Speech AI, real-time audio processing, streaming ASR, live transcription, and low-latency architectures.

This role requires a strong understanding of enterprise software deployment environments, concurrent audio-stream processing, and AI system performance.

Qualifications

• Experience with production-scale Agent Assist, Agent Guidance, Speech AI, or live transcription.
• Strong expertise in streaming ASR and low-latency architectures.
• Hands-on experience with real-time processing of multiple concurrent audio streams.
• Experience deploying software in managed enterprise desktop environments.
• Ability to provide executive-ready findings and recommendations.
• Strong understanding of real-time data pipelines and performance optimization.

Responsabilités

• Design, evaluate, and assess production-scale AI platforms.
• Analyze streaming ASR and real-time speech processing for latency and scalability.
• Evaluate multi-stream real-time processing systems.
• Review deployment in managed enterprise environments.
• Identify bottlenecks, risks, and optimization opportunities.
• Translate findings into executive-ready reports and presentations.
• Present risks and recommendations to senior leadership.

Connaissances

Agent Assist

Agent Guidance

Speech AI

Live transcription

Low-latency systems

Real-time streaming

Executive reporting

Enterprise deployment

Description du poste

Title: Principal AI Systems Architect

Work Location: Fully Remote
Duration : 03 months contract on W2
Interview Type: Video Interview
Anticipated Start Date: Within 2 Weeks

Job Description

We are seeking an experienced Principal AI Systems Architect to lead the evaluation, architecture, and technical assessment of production-scale AI-powered voice and agent-assistance platforms. The ideal candidate will have deep expertise in Speech AI, real-time audio processing, streaming Automatic Speech Recognition (ASR), live transcription, and low-latency system architectures.

This role requires a strong understanding of enterprise software deployment environments, concurrent audio-stream processing, and AI system performance.

Key Responsibilities

• Design, evaluate, and assess production-scale Agent Assist, Agent Guidance, Speech AI, and live transcription platforms.
• Analyze streaming ASR architectures and real-time speech-processing systems to ensure low latency, reliability, scalability, and performance.
• Evaluate systems capable of processing multiple concurrent audio streams in real time.
• Assess end-to-end AI architecture, including audio ingestion, streaming pipelines, transcription services, and agent-assistance workflows.
• Review deployment strategies for software operating within managed enterprise desktops and outsourced desktop environments.
• Identify integration challenges, system bottlenecks, operational risks, and opportunities for performance optimization.
• Evaluate system architecture, technical feasibility, scalability, and production readiness.
• Collaborate with engineering teams, enterprise stakeholders, and technical leadership to understand requirements and assess solution options.
• Develop technical assessments, architecture reviews, and actionable recommendations based on findings.
• Translate complex technical issues into clear, executive-ready reports and presentations.
• Present findings, risks, trade-offs, and recommendations to senior leadership and other decision-makers.
• Provide technical guidance on AI system design, real-time processing, enterprise deployment, and operational best practices.

Required Qualifications

• Demonstrated experience with production-scale Agent Assist, Agent Guidance, Speech AI, or live transcription platforms.
• Strong expertise in streaming Automatic Speech Recognition (ASR) and low-latency system architectures.
• Hands-on experience with real-time processing of multiple concurrent audio streams.
• Experience deploying or integrating software within managed enterprise desktop or outsourced desktop environments.
• Proven ability to evaluate complex technical systems and provide executive-ready findings and recommendations.
• Strong understanding of real-time data pipelines, streaming architectures, system integration, and performance optimization.
• Excellent analytical, problem-solving, technical documentation, and communication skills.
• Ability to work independently in a fully remote environment and collaborate with cross-functional teams.

Preferred Qualifications

• Experience architecting or evaluating enterprise-grade AI and voice technology platforms.
• Familiarity with cloud-based speech-processing services, distributed systems, and scalable real-time applications.
• Experience with contact center AI, conversational AI, virtual agents, or agent-assistance solutions.
• Understanding of enterprise security, desktop management, software deployment constraints, and production operations.
• Experience presenting technical assessments and strategic recommendations to executive stakeholders.