Principal Conversational & Agentic AI Architect

You want more out of a career. A place to share your ideas freely even if theyre daring or different. Where the true you can learn grow and thrive. At Verizon we power and empower how people live work and play by connecting them to what brings them joy. We do what we love driving innovation creativity and impact in the world. Our V Team is a community of people who anticipate lead and believe that listening is where learning crisis and in celebration we come together lifting our communities and building trust in how we show up everywhere & always. Want in Join the #VTeamLife.

What youll be doing...

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 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.

What were looking for...

Youll need to have:

• Bachelors 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 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%
  

Even better if you have one or more of the following:

• 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

If Verizon and this role sound like a fit for you we encourage you to apply even if you dont meet every even better qualification listed above.

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status disability or other legally protected characteristics.

Our benefits are designed to help you move forward in your career and in areas of your life outside of Verizon. From 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. We also offer a matched 401(k) savings plan up to 8 company paid holidays per year and up to 6 personal days per year paid parental leave adoption assistance and tuition assistance plus other incentives weve got you covered with our award-winning total rewards package. Depending on the role employees have the opportunity to receive compensation in the form of premium pay such as overtime shift differential holiday pay allowances etc. Newly hired employees receive up to 15 days of vacation per year which grows with additional service. For part-timers your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.