Urgent C2c Hiring for AI Tech Architect

Location: Cleveland OH

Contract 

 

Role Summary:

We are looking for a highly experienced AI Architect specializing in Python-based AI development, Large Language Models (LLMs), and the design of chatbots and voice bots. The ideal candidate will architect enterprise-grade conversational AI solutions, ensure robust LLM performance monitoring, and drive innovation in Generative AI systems.

 

Key Responsibilities:

LLM & Conversational AI Architecture
•       Architect scalable solutions using LLMs, ChatGPT-style models, and voice AI frameworks.
•       Design and build chatbots and voice bots using Python, ASR (Automatic Speech Recognition), TTS (Text-to-Speech), and NLP/LLM pipelines.
•       Create frameworks for conversational flows, prompt engineering, retrieval-augmented generation (RAG), and context management.
Solution Development
•       Build end-to-end AI applications using Python, integrating with APIs, databases, and cloud-native services.
•       Develop modular and reusable components for LLM inference, vector search, embeddings, and model orchestration.
•       Integrate LLMs with enterprise systems (CRM, ticketing, case management, internal knowledge bases).
LLM Performance Monitoring & Optimization
•       Implement monitoring systems for latency, hallucination rate, safety compliance, drift detection, prompt performance, and model quality.
•       Set up continuous evaluation (CEVAL), feedback loops, and telemetry dashboards.
•       Optimize inference cost, token usage, model selection (small vs. large models), and caching strategies

Voice Bot & Chat Bot Engineering
•       Architect solutions using:
o       Speech APIs (Azure Speech, Amazon Transcribe, Google Speech-to-Text)
o       Chat platforms (Teams, Slack, web chat widgets)
o       Telephony integrations (Twilio, Genesys, Ujet)
•       Ensure high accuracy in intent detection, slot filling, sentiment tracking, and multimodal interaction.
MLOps & Deployment
•       Implement MLOps practices including CI/CD, model versioning, A/B testing, evaluation pipelines, and governance.
•       Deploy models on cloud platforms such as Azure, AWS, or GCP (Azure preferred if using OpenAI/Azure OpenAI).
Ensure compliance with enterprise AI governance, security, and ethical AI standards

Essential Skills: AI Architect| Python| LLM| Conversational AI Architecture| voice AI frameworks| ASR (Automatic Speech Recognition) | TTS (Text-to-Speech) | and NLPLLM pipelines| Voice Bot  Chat Bot Engineering.