Senior AI Agent Architect

Key Responsibilities

• Scope and implement AI agent deployments, providing strategic advice and hands-on execution support to enterprise customers and partners
• Leverage deep knowledge of LLM internals (embeddings, token behavior, attention patterns) to analyze customer requirements and design precise prompts for reliable, user-aligned agent behavior
• Decompose complex business workflows into digestible conversational components that enable LLMs to handle challenging, multi-turn interactions effectively
• Fine-tune conversational flows and voice output (SSML, lexicons, regex) to align with customer brand standards and user experience requirements
• Collaborate with Agent Integration Engineers and Forward Deployed Engineers to connect enterprise systems with the AI platform via APIs
• Identify and resolve technical and process blockers across product, engineering, sales, and customer teams
• Apply structured testing approaches to validate AI agent behavior, quality, and performance at scale under real-world conditions
• Document best practices, implementation guides, and product capabilities for internal and external audiences
• Serve as the technical voice of the Agent Architect team in client engagements, representing platform expertise and guiding adoption strategy

Required Qualifications

• 3+ years of experience in enterprise customer-facing roles with proven expertise in conversation design and AI agent development
• Deep understanding of LLM capabilities and limitations, with ability to craft prompts that align with desired conversational and functional outcomes
• Proficiency with advanced prompting strategies: chain-of-thought prompting, few-shot learning, structured output engineering, and guardrail design
• Strong project and stakeholder management skills with demonstrated ability to meet milestones and communicate clearly across technical and business audiences
• Solid understanding of data structures, system integrations, enterprise APIs, and authentication/authorization patterns
• Exceptional attention to detail and logical thinking, with the ability to identify subtle nuances in conversational flows that impact agent reliability
• Experience planning and executing rigorous testing procedures to ensure AI agent performance at scale
• Analytical and critical thinking skills, including experience with risk assessment and structured problem-solving

Preferred Qualifications

• Experience with agentic AI platforms, conversational AI tools, or enterprise contact center technology (e.g., Genesys, NICE, Five9, LivePerson)
• Hands-on experience with voice AI tuning: SSML, lexicon management, TTS optimization, and voice UX design
• Familiarity with retrieval-augmented generation (RAG), vector databases, and knowledge management systems for AI agents
• Experience working in or with high-growth AI/SaaS startups in customer-facing technical roles (Solutions Architect, Technical Consultant, CX Engineer)
• Understanding of enterprise CX operations: IVR, ACD, workforce management, and omnichannel orchestration
• Multilingual capabilities or experience deploying conversational AI across multiple languages and markets