Role Description We are seeking a highly skilled Conversational & Agentic AI Architect to design, build, and optimize enterprise-grade conversational AI and multi-agent solutions within a Consulting organization. This role demands hands-on technical architecture, a product-led engineering mindset, and extensive expertise in both speech science and Generative AI. You will be responsible for consulting with customers to create seamless, multi-turn conversational experiences that move beyond rigid decision trees into dynamic, agentic interactions, successfully integrating complex backend systems while managing both sophisticated NLU models and LLMs. Key Responsibilities - Agentic & Conversational Architecture: Architect and maintain complex conversational flows, transitioning from traditional State-Based Flows and event handlers to modern Generative AI and multi-agent orchestrated solutions (e.g., Dialogflow Playbooks, Vertex AI, or Microsoft Copilot Studio). - LLM Engineering & NLU Design: Manage complex intent taxonomies capable of handling 200+ unique intents without overlapping, ensuring high Intent Precision & Recall while minimizing False Positives. Lead efforts in LLM fine-tuning, prompt engineering, distillation, and evaluating small/efficient models for latency-sensitive voice applications. - Collision Analysis & Tuning: Conduct regular conflict detection and ambiguity testing to resolve intents that compete for the same user phrases, while securing AI models against prompt manipulation and data vulnerabilities. - STT, STS & Multi-Modal Extraction: Tune Speech-to-Text (STT) and Speech-to-Speech adaptations and hints to improve recognition for industry-specific jargon, and design complex custom entities to extract critical data from unstructured speech and generative interactions. - System Integration & Backend: Build and deploy robust webhooks and serverless backend services using Node.js or Python to connect virtual agents with third-party APIs, CRMs, and databases. Implement model serving infrastructure and scalable cross-platform AI solutions. - Performance Benchmarking & ROI: Build "Golden Sets" for automated regression testing to measure F1-scores across model versions, and use tools like BigQuery to analyze real-world "No-Match" logs. Conduct Return-on-Investment (ROI) analysis of AI-powered solutions and interpret telemetry data to drive continuous product improvement. Qualifications - Bachelor’s degree or four or more years of work experience. - Six or more years of relevant experience required, demonstrated through one or a combination of work and/or military experience, or specialized training. - Proficiency in modern programming languages and frameworks such as Python, JavaScript, Java, Next JS, Node.js, React js. - Strong working experience with GenAI, LLM Models, MCP, Vector DB, RAG, Vertex AI, Agentic AI frameworks like NGA, ADK or LangChain/LangGraph, creating AI agents. - Experience with Cloud platforms like GCP, Azure or AWS and cloud technologies like OpenStack, Terraform, Ansible or Chef. - Experience working with LLM observability, analytics, evaluations, testing and annotation using tools like LangSmith, LangFuse, Streamlit, Arize or similar tools. - Experience working with AI/ML development. - Willingness to travel 25%. Requirements - Background in Computational Linguistics or Data Science. - Certifications such as Microsoft Agentic AI Business Solutions Architect, Google Cloud Professional Architect, or Machine Learning Engineer. - Experience with Generative and NLU design. - Experience using Python libraries (Pandas/NumPy) for large-scale utterance data cleaning and optimization. - Familiarity with CI/CD pipelines for automated agent deployment and modern Product-Led operating models. Benefits - Health and wellness benefit options including medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. - Matched 401(k) savings plan. - Up to 8 company paid holidays per year and up to 6 personal days per year. - Paid parental leave and adoption assistance. - Tuition assistance and other incentives. - Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. - Compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc.