PolyAI automates customer service through lifelike voice assistants, enabling businesses to enhance their customer service operations. As a Forward Deployed AI Engineer, you will lead the deployment of voice AI solutions for enterprise clients, ensuring they meet business needs and drive customer satisfaction.
Responsibilities:
- Lead the hands on development, configuration, and deployment of conversational AI systems for enterprise clients, ensuring solutions are production ready and aligned with real business workflows
- Develop deep expertise in the platform architecture, capabilities, and limitations in order to design reliable and scalable solutions for client deployments
- Partner closely with product and engineering teams, representing client needs internally and communicating product capabilities and roadmap direction to customers
- Design creative solutions to overcome platform or integration constraints while maintaining system reliability, scalability, and maintainability
- Own the reliability, performance, and scalability of deployed systems, ensuring production environments meet strict SLAs for uptime, latency, and operational stability
- Serve as the primary technical point of contact for enterprise clients, leading technical discussions, troubleshooting issues, and maintaining ownership of system architecture and production health
- Collaborate with Deployment Strategists (DS) and Customer Success Managers (CSMs) to support successful project delivery and long term client outcomes
- Apply a data driven approach to deployments by designing logging, monitoring, and analytics systems that surface insights and enable proactive issue resolution
- Build and maintain operational dashboards, metrics, and alerts to ensure deployments meet both internal and external reliability standards
- Lead integration with enterprise infrastructure including telephony systems such as SIP and RTP, backend services, and external APIs, ensuring secure and scalable production operation
Requirements:
- You work with AI productivity and/or automation tools in your daily tasks
- 2-5 years of client-facing experience in solution implementation, technical consulting, management consulting, or a similar role
- Strong technical foundation (education or professional background in Computer Science, Engineering, Data Analysis, etc.) and comfortable rapidly mastering new technologies
- Proven ability to independently manage projects and passionate about solving problems, whether technical or non-technical
- Demonstrate the ability to manage stakeholders while staying result-driven
- Outstanding communication skills, able to clearly explain complex technical concepts to non-technical stakeholders
- Creative, solutions-focused mindset with a talent for overcoming complex challenges
- Experience with VoIP protocols such as SIP, RTP, and related telephony technologies (e.g., call routing, signaling, and media handling)
- You're passionate about building AI that positively impacts everyday life
- Experience with Python programming
- Familiarity with containerization and microservice deployments using Docker and Kubernetes
- Native-level proficiency in English
- Strong technical background or demonstrated ability to quickly grasp complex concepts (preferred backgrounds: Engineering, Computer Science, Data Analytics, or related fields)
- Thrives at the intersection of technology and customer success, energized by creatively overcoming complex enterprise interactions and getting to the successful deployment
- Highly autonomous, proactive, opinionated and comfortable working closely with clients to achieve ambitious goals and deliver tangible ROI
- Skilled in navigating multiple stakeholder relationships (both internal and external), balancing stakeholder needs without losing sight of core business objectives