Conversational AI Architect

Location: Delhi

Overall Experience: 8-12 years

Level: Manager

Role- Conversational AI Architect / Tech Lead

Job Description

We are seeking a skilled and motivated Conversational AI (CAI) Architect for a Big Four Firm. As an Architect/tech lead, you will be responsible for developing and implementing state-of-the-art tools using large language models and Python. You will play a crucial role in advancing our AI capabilities, driving innovation, and solving complex problems using generative AI techniques. The ideal candidate has a strong background in Python programming, Conversational AI Bots, and extensive experience working with large language models.

Responsibility

Design/Develop/implement Conversational AI Bots/Self Service using large language models

Collaborate with cross-functional teams, including data scientists, machine learning engineers, and AI developers, to integrate generative models into various applications and platforms.

Train and fine-tune large language models for specific tasks or domains by leveraging transfer learning and domain adaptation techniques.

Stay up to date with the latest advancements in CAI, Gen AI, Voice AI and contribute to knowledge sharing within the team.

Document research findings, methodologies, and implementation details for future reference and knowledge transfer.

Assist in mentoring and guiding junior team members

Research, design, and experiment with generative AI techniques to improve model performance and output quality.

Requirements:

Proven experience with minimum two of these chatbot platform. i.e. MS Copilot/AWS Lex/ Kore.AI/Google Dialogflow/RASA

Solid understanding of NLP, GenAI/LLMs, Computer Vision, OCR, Generative BI, NL2SQL, RAG concepts.

Proficiency in programming languages such as Python C#.net/Node.js.

Experience in integrating chatbots with enterprise systems and third-party APIs.

Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

Strong problem-solving and analytical skills.

Excellent communication and collaboration abilities.

Strong proficiency in Python programming and experience with deep learning frameworks such as TensorFlow or PyTorch.

Familiarity with transfer learning and pre-training techniques for large language models.

Design and develop RESTful APIs using Python and FastAPI.

Develop and optimize prompts for various natural language processing tasks using few-shot, one-shot, and zero-shot learning techniques.

Understanding of Microsoft Azure services such as Azure Functions, Azure Storage, Azure Cosmos DB, and Azure Machine Learning

Work with vector databases like ChromaDB and Elasticsearch to power Retrieval Augmented Generation (RAG).

Working knowledge of SQL and non-SQL Databases