Job Description:
Position Summary:
This is speech modeling with voice assistance for the customer with genai enabled
We are seeking a Senior Lead Architect with deep expertise in developing Voice-Assisted Generative AI Chatbot Solutions. The focus of this role is to design and implement intelligent systems capable of understanding customer intents, providing refined conversational suggestions, and delivering highly technical and precise answers. This position requires a blend of hands-on technical skills, leadership experience, and expertise in fine-tuning intent-based conversational AI systems.
The ideal candidate will drive the architecture, development, and deployment of AI-powered chatbots designed to transform voice interactions into actionable, contextually accurate conversations.
Key Responsibilities:
- Architecture & Development:
- Design and develop end-to-end solutions for voice-enabled generative AI chatbots.
- Architect workflows for intent recognition, fine-tuning generative AI models, and providing context-aware, technical responses.
- Implement pipelines for real-time speech-to-text (STT), natural language processing (NLP), and generative response generation.
- Intent-Based Fine-Tuning:
- Create refined conversational models by fine-tuning pre-trained generative AI frameworks (e.g., GPT, BERT, LLaMA).
- Build systems that identify and adapt to user intents dynamically, improving chatbot response quality over time.
- Develop strategies for managing edge cases, ambiguity, and domain-specific technical queries.
- Generative AI Integration:
- Implement and optimize generative AI tools (e.g., OpenAI GPT, Hugging Face Transformers) for seamless conversational experiences.
- Ensure generated responses align with domain-specific guidelines, tone, and accuracy requirements.
- Voice & Conversational AI:
- Integrate advanced STT and TTS tools to enable seamless voice interaction (e.g., Amazon Transcribe, Google Speech-to-Text, or Azure Speech).
- Enhance conversational flow with state-of-the-art NLU and conversational frameworks like Dialogflow, Amazon Lex, or Rasa.
- Technical Leadership:
- Lead engineering and data science teams in implementing scalable chatbot architectures.
- Guide best practices in developing and deploying AI models for real-time systems.
- Collaborate with stakeholders to align technical solutions with business goals and customer needs.
- Innovation & Optimization:
- Drive innovation by exploring emerging technologies in generative AI, NLP, and voice interfaces.
- Continuously monitor and improve system performance, accuracy, and response times.
- Design scalable and cost-effective architectures that ensure system reliability.
- Governance & Compliance:
- Establish frameworks for responsible AI use, ensuring adherence to privacy and compliance standards.
- Implement logging, monitoring, and analytics for chatbot interactions to support transparency and improvement.
Required Skills & Qualifications:
- Education & Experience:
- Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or a related field.
- 8+ years of experience in AI/ML systems, with 3+ years specifically in conversational AI and generative AI.
- Technical Expertise:
- Proficiency in generative AI frameworks like OpenAI GPT, Hugging Face, LangChain, or similar.
- Deep understanding of intent recognition, entity extraction, and fine-tuning AI models for domain-specific use.
- Hands-on experience with conversational AI tools (e.g., Dialogflow, Amazon Lex, Microsoft Bot Framework).
- Expertise in integrating STT and TTS technologies with conversational workflows.
- Cloud & Infrastructure:
- Strong hands-on experience with cloud platforms (AWS, Azure, or GCP), including AI services like SageMaker or AI Hub.
- Proficiency in building CI/CD pipelines and infrastructure-as-code (e.g., Terraform, CloudFormation).
- Programming & Data Handling:
- Strong coding skills in Python, JavaScript, or similar languages.
- Experience with API development, microservices, and real-time data processing frameworks.
- Soft Skills:
- Excellent communication and leadership skills.
- Proven ability to present complex technical solutions to both technical and non-technical audiences.
Preferred Qualifications:
- Proven experience building AI-powered chatbots for technical domains or customer support.
- Familiarity with MLOps pipelines and AI lifecycle management.
- AWS Certified Solutions Architect or equivalent certifications.
- Experience in designing systems for multilingual or globally distributed user bases.
